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“Students Attitudes
Towards E-learning”
Manarat International University
“STUDENTS ATTITUDES
TOWARDS E-LEARNING”
Shakila Ahmed
Supervisor
Md. Abdullah Al Mahmud
Assistant Professor, Department of Business Administration
Manarat International University
Computer Applications in Business
Spring-2020
1749BBA03958
TRANSMITTAL LETTER
30th
May 2020
Md. Abdullah Al Mahmud
Course Instructor
Manarat International University
Dear Sir,
I’m submitting the final assessment report on “Students attitudes towards
e-learning”, which you authorized. This report is survey cum analytical in
neutral. In the preparation of the report I strictly followed all your instructions
and requirements.
Sincerely,
Shakila Ahmed
iii
 ABSTRACT
E-learning is becoming a widespread method of gaining knowledge in a global
environment. Accessibility and variety of online content encourage more and more people to
get involved in learning using digital resources. However, there has been limited research
exploring the factors that could influence students’ attitudes regarding e-learning.
In this study, field research was conducted to determine which factors affect student’s
attitudes towards e-learning. The Google form questionnaire was developed to collect data
about factors that influence attitudes towards e-learning. A total of 20 students were the study
cohort.
Three factors were identified using principal component analysis: e-learning usefulness,
ease of use, and content design. SPSS analysis was conducted to determine the strength of
the factors influencing attitudes towards e-learning. All factors had a significant influence on
attitude towards e-learning. Usefulness of e-learning had the strongest impact on students’ e-
learning intention.
Our study will contribute to the existing work in this field by emphasizing the importance
of perception of content design on attitudes towards e-learning.
Keywords- e-learning, attitudes towards e-leaning, factors, Technology Acceptance Model, e-
learning content design, online learning, IT education, ITC.
iv
 ACKNOWLEDGMENTS
I would like to express my deep gratitude to Professor Md. Abdullah Al Mahmud, my
research supervisor, for her patience, guidance, enthusiastic encouragement and useful
critiques of this research work and for her Report Guidelines to assistance in keeping my
progress on schedule.
My grateful thanks are also extended to Google from & my Friends for their help in
collecting data, to SPSS & Excel which helped me calculate the data analysis with describe
and to technology for support in the survey.
I would also like to extend my thanks to the technicians of the lab of the Manarat
International University for their help in offering me the resources in running the program.
Finally, I wish to thank my parents for their support and encouragement throughout my
study.
Last, but definitely not least, to God be the glory. He gives me the strength and my
prayers were all.
v
TABLE OF CONTENTS
 ABSTRACT............................................................. iii
 ACKNOWLEDGMENTS..................................... iv
Chapter 1........................................................................7
1.1 INTRODUCTION.................................................7
1.2 STATEMENT OF THE PROBLEM ..................9
1.3 AIM OF THE STUDY........................................10
1.4 OBJECTIVES OF THE STUDY......................10
1.5 SCOPE AND LIMITATIONS...........................11
1.6 RESEARCH QUESTIONS ..............................12
Chapter 2......................................................................14
2.1 QUANTITATIVE RESEARCH ........................14
2.2 ADVANTAGES OF SURVEY METHOD.......15
2.3 DISADVANTAGES OF SURVEY METHOD 15
2.4 RESEARCH METHODOLOGY ......................16
2.4.1. SAMPLING METHODOLOGY....................17
2.4.2. DATA COLLECTION STRATEGY............17
2.4.3. DATA ANALYSIS PROCEDURE...............18
2.5 ANALYSIS OF THE QUANTITATIVE DATA
FROM QUESTIONNAIRES........................................19
2.6 ETHICAL CONSIDERATIONS.......................19
Chapter 3......................................................................20
ANALYSIS ....................................................................20
3.1 DESCRIPTION OF THE RESPONDENTS...20
3.2 RESPONDENT’S PERSONAL DETAILS ...21
vi
3.3.1 GENDER.........................................................21
3.3.2 EDUCATIONAL STATUS............................22
3.3.3 COMPUTER & SMARTPHONE .................23
3.3.4 INTERNET.....................................................24
3.3.5 BLOOD GROUP............................................25
3.3.6 MOBILE DATA..............................................25
3.3 THE STUDENTS’ ATTITUDE TOWARDS E-
LEARNING....................................................................27
FINDINGS .....................................................................30
3.4 AWARENESS OF STUDENTS ABOUT E-
LEARNING PLATFORM ............................................30
3.5 HOW STUDENTS BENEFIT FROM E-
LEARNING....................................................................31
3.6 THE ATTITUDE OF STUDENTS TOWARDS
E-LEARNING................................................................32
Chapter 4......................................................................33
4.1 CONCLUSIONS................................................33
4.2 RECOMMENDATIONS....................................34
4.3 CONCLUSION...................................................35
REFERENCES .............................................................36
APPENDIX....................................................................39
Questionnaire for students ......................................39
Section A: Background information ......................41
Section B: Questionnaire for “Students attitudes
towards e-Learning”..................................................42
7
Chapter 1
1.1 INTRODUCTION
E-learning is the use of information technologies to deliver information for education
and training, regardless of time restrictions or geographic proximity*1. It is one of the most
significant developments in the IT industry*2. In recent years, E-learning has become a
popular way of gaining knowledge*3 for many students worldwide, because it represents
an easy, modern, and cost-effective solution for universities and lecturers, as well as
students*4. E-learning systems have been widely used and applied in education in the last
20 years*5.
E-learning in the developed countries is a popular phrase, as Anderson (2005)
pointed out that if we search for the phrase e-learning in one of the internet search
engines, we would receive more than three million hits. E-learning has been defined in a
variety of ways in the literature. The most common definition states that e-learning or
electronic learning in higher education is a technique to enhance learning and teaching
experiences and used to educate students with or without their instructors through any
type of digital media*6 and or utilizing many ICT information and communication
technologies*7 In recent years the Higher Education sectors are concentrating on the
online context of e-learning by using the Internet to enhance education.*8
Information Technology (IT) has emerged as an important component of society.
Many private higher education institutions around the world are using e-learning in their
education curriculum to compete with others and sur le financially. Also many higher
education institutions are changing to new technology in education to enhance student
learning experiences and to produce better learning outcomes and competencies.
8
Traditional universities should have a flexible organizational structure to incorporate
technology such as e-learning approaches into their education curriculum to improve
student learning experience*9
There are some important factors for the success of e-learning during
implementation in Higher Education institutions. Poor preparation can affect the use of e-
learning facilities. Poor instructor awareness and training in using e-learning facilities will
lead to poor outcomes. The availability of connections to e-learning websites combined
with slow downloads discourages students from using e-learning.
With the various facilities of Information and Communication Technology (ICT) and
the rapid growth of e-learning, computers are now used by students in many education
processes and are valuable tools in learning in higher education Accessing online learning
resources has become flexible and fast without any geographical barriers*10
The aim of this study is to investigate student's attitudes towards e-learning of
different universities.
9
1.2 STATEMENT OF THE PROBLEM
Some ones conducted e-learning studies about student’s perceptions in various
disciplines but no one looked at student’s perceptions of e-learning in the field of different
university student of Bangladesh. In the study on student perceptions of various e-learning
components, conducted in the United States of America, Buzzetto-More (2008) reveals
that course websites have proved to be an effective means of delivering learning materials,
with students responding positively to the quality resources they make available. Wernet,
Olliges, and Delicath (2000), in their survey on students who used WebCT in a social work
course, established that all of the respondents considered the online course materials
beneficial to their overall learning experience. Although the value of e-learning is
undisputed, other studies conducted within the global context have suggested that
students tend not to use e-learning because of factors including skills shortages due to
lack of training, lack of understanding, as well as negative attitudes and perceptions
(Minocha & Sharp 2004; Zaharias 2009).
Malik, Belawati and Baggaley (2005) add that in an ODL environment students may
face more challenges because of infrastructure, geographic areas and not easily adapting
to new technologies. These challenges can affect the students’ perceptions of e-learning
and increase the number of dropouts in the university system. Therefore, the purpose of
this study is to investigate students’ perceptions of and preferences regarding the usability
of attitudes towards e-learning as part of teaching and learning.
10
1.3 AIM OF THE STUDY
The aim of the study was to examine the perceptions of student’s attitudes towards
e-learning.
1.4 OBJECTIVES OF THE STUDY
Objective of our study is to analyze Students attitudes towards e-learning of different
universities students. To determine the awareness among students attitudes towards e-
learning platform.
 To ascertain how students benefit from e-learning.
 To investigate the attitude of students towards e-learning.
 To verify the confident in using computers.
 To ascertain how student’s using ICT for studies.
 How much e-learning allows students to acquire new knowledge.
 To determining how e-learning enhances students' learning experiences.
 To know how reliable it is, an important feature of e-learning is the convenience.
 To know the opinion of the students, E-learning enhances the quality of learning
because it integrates all types of media.
 To investigate the use of E-learning increases students' creativity.
 To investigate the attitude of students towards e-learning.
 To examine the usability of e-learning tools available to students.
 How they consuming e-learning and ICT for their daily life & increased study
satisfaction.
11
1.5 SCOPE AND LIMITATIONS
The study focused on the students from the different university focusing only on the
University Student's. The study consisted of a case study whereby a survey-questionnaire
used to collect data. In the limited time available, the study was restricted to the online through.
For the coronavirus disease (COVID-19), I was survey through Google form because I couldn't
visit physically. Selecting 17 institution ensured that sufficient time was allocated to the
respondents to answer the questionnaires. Also waiting for participants to give feedback is a
major limitation. Designing the web based surveys required a lot of time and once they were
implemented a lot of administration work had to be done because participants needed to be
reminded all the time to participate. Even those who agreed to participate were not guaranteed
that they were going to participate or respond. Technical hitches with the online survey
occurred whereby some participants could not open the link and needed to be assisted by
giving them the appropriate procedures. As far as I know, all the students among my
acquaintances were expected to take part in the survey-questionnaire, but 21 took part.
12
1.6 RESEARCH QUESTIONS
 I feel confident in using computers
 I enjoy using ICT for my studies
 I believe that e-learning allows me to acquire new knowledge
 I believe that e-learning enhances my learning experience
 I believe that convenience is an important feature of e-learning
 E-learning increases the quality of learning because it integrates all forms of
media
 Adopting ICT and e-learning allows for increased student satisfaction
 E-learning offers the possibility to efficiently manage your time.
 E-learning is not as efficient as a teaching method.
 Students who use E-learning materials need to be updated with the latest trends
in technology.
 The use of E-learning increases students' creativity.
13
Table 1 : Objectives, research questions and data collection tools
May 31, 2020
Objectives Research questions
Data collection
tools
To ascertain how students benefit from e-learning. I feel confident in using computers Questionnaire
To investigate the attitude of students towards e-learning. I enjoy using ICT for my studies Questionnaire
To verify the confident in using computers. I believe that e-learning allows me to acquire new knowledge Questionnaire
To ascertain how student’s using ICT for studies. I believe that e-learning enhances my learning experience Questionnaire
How much e-learning allows students to acquire new
knowledge. I believe that convenience is an important feature of e-learning Questionnaire
To determining how e-learning enhances students' learning
experiences.
E-learning increases the quality of learning because it integrates all forms of
media
Questionnaire
To know how reliable it is, an important feature of e-learning is
the convenience. Adopting ICT and e-learning allows for increased student satisfaction Questionnaire
To know the opinion of the students, E-learning enhances the
quality of learning because it integrates all types of media. E-learning offers the possibility to efficiently manage your time. Questionnaire
To investigate the use of E-learning increases students'
creativity. E-learning is not as efficient as a teaching method. Questionnaire
To investigate the attitude of students towards e-learning. Students who use E-learning materials need to be updated with the latest
trends in technology.
Questionnaire
To examine the usability of e-learning tools available to
students. The use of E-learning increases students' creativity. Questionnaire
HOW THEY CONSUMING E-LEARNING AND ICT FOR THEIR DAILY LIFE & INCREASED STUDY SATISFACTION
14
Chapter 2
2.1 QUANTITATIVE RESEARCH
This method was preferred because the aim of this method is to obtain data that is
statistically relevant and usually used to answer questions such as "how many", "where
from" and "how much" (Silverman 2010). Therefore, in seeking such answers, this
approach relies on the use of predetermined response categories by means of
standardized data collection instruments such as a survey through the mail or structured or
semi structured interviews in order for statistical techniques to be used to assist in the
interpretation of data (Demirbag 1994). The researcher opted for the quantitative approach
also because it mainly involves the use of controlled questionnaires in which the response
options are coded and it also allows for large numbers of respondents to be involved.
Furthermore, university students are scattered almost all over the Bangladesh and it was
very easy to distribute online questionnaire to all student participants.
Quantitative research involves identifying the characteristics of an observed
phenomenon, which means that it did not change or modify the situation under
investigation, nor did it determine the cause-effect relationship. It was pursued to identify
facts about students’ perceptions about e-learning based on their opinions and attitudes
about the usability of e-learning. One of the strongest point of quantitative data analysis is
to arrange large amounts of unclear data into graphical form or numerical summaries thus
acceptably answering research questions posed (Ngulube 2009). Also Stangor (2011);
Babbie (2010) and Ngulube (2009) agree that quantitative research is more formalized and
controlled than qualitative research and it has the possibility of replication using different
groups of subjects. This method has helped the researcher to explain that which was a
descriptive and also examined a situation as it is
15
2.2 ADVANTAGES OF SURVEY METHOD
According to Connaway and Powell (2010), the survey research tends to be
relatively inexpensive, at least if the sample or population being surveyed is not large, but
it is still often desirable to reduce costs. They further reveal the recommended guidelines
for reducing survey cost which are as following:
 Shorten the length of data collection
 Reduce the number of follow-ups
 Limit the pilot or pretesting to a small number of participants
 Shorten time spent in developing data collection instruments by adapting already
existing instruments
 Make the instrument as short as possible
 Use nonmonetary incentives to encourage respondents
 Reduce the number of survey activities
2.3 DISADVANTAGES OF SURVEY METHOD
 Limited sampling and respondent availability - Certain populations are less likely
to have internet access and to respond to online questionnaires. It is also harder to
draw probability samples based on e-mail addresses or website visitations.
 Possible cooperation problems - Although online surveys in many fields can attain
response rates equal to or slightly higher than that of traditional modes, internet
users today are constantly bombarded by messages and can easily delete your
advances.
 No interviewer - A lack of a trained interviewer to clarify and probe can possibly
lead to less reliable data.
16
2.4 RESEARCH METHODOLOGY
This section concerns the research methodology that was used in this study. To
identify student's attitudes towards e-learning, we conducted a Google form of the 11
Statements related to the perceived usefulness, ease of use, and design of the e-learning
system. Research methodology is the general approach the researcher takes in carrying
out the research project.
• Online conversations
• Questionnaire survey
• Answering by the tick mark of questionnaire by the Google form
• Answers are accepted by five levels
• Receiving feedback by option
Methodology is divided into many approaches such as Excel, quantitative,
qualitative and for the statistical analysis of the obtained data I used Statistical Package
For The Social Sciences (SPSS). This study adopted the quantitative research approach
because it involved collecting the same information from all participants in the sample
using a questionnaire. The aim of this study is to determine students’ attitudes towards e-
learning.
17
2.4.1. SAMPLING METHODOLOGY
Participants in the study were 21 students from the different University. Description
of the sample is given in Table 2
Table 2: Gender distribution (N=21)
Gender
Frequency Percent Valid Percent
Cumulative
Percent
Valid
Male 7 33.3 33.3 33.3
Female 14 66.7 66.7 100.0
Total 21 100.0 100.0
2.4.2. DATA COLLECTION STRATEGY
This study used one data collection tool online questionnaires were administered to
students. Study used a web-based questionnaire in order to reach the target audience.
There are a number of different tools that can be used to collect survey data, for
instance, interviews, focus groups, questionnaires and observation (Kothari 2004). This
study used one data collection tools, namely: online questionnaires were administered to
students. This online questionnaire was chosen because of its convenience, that is, it
could reach students around the country. The researcher approached the participants in
their own settings to gain the information needed. The following section presents each
instrument of data collection that was used in the study.
18
2.4.3. DATA ANALYSIS PROCEDURE
In this study the quantitative data was automatically coded in SPSS and Microsoft
Excel as the questionnaires were filled online using the Google form survey software.
According to Neuman (2006) in the data analysis the researcher carefully examines
empirical information to reach a conclusion based on reasoning and simplifying the
complexity of the data. Cooper (2009) argues that, data analysis is the practical application
of procedures. He further argues that it is concerned with the sensitising of social
researchers with regard to the use, interpretation and evaluation of relevant data. In
quantitative research data is analysed using numbers, whilst qualitative research uses
words or pictures. Edwards and Talbot (1994) opine that the data analysis methods
associated with the survey research design are content analysis, descriptive statistical
analysis and statistical testing. The methods used in the analysis of data for this study
were dependent on the methods used for data collection. Since both quantitative and
qualitative research methods were employed, to consider methods to analysed both types
of data collected. Had to transformed data into answers to the original research questions.
19
2.5 ANALYSIS OF THE QUANTITATIVE DATA
FROM QUESTIONNAIRES
All usable quantitative responses were analyzed using the Google form survey and
Microsoft Excel & SPSS. Although the SPSS survey could create tables successfully, I
migrated some of the data into Microsoft Excel spread-sheets. The reason was that the
tables and figures created by the Google form survey did not always depict the intended
picture of the findings.
Microsoft Excel was found to have more templates for data manipulation whilst the
Google form survey has a cross tabulation function that the researcher found useful in
making associations between and across questions.
The special reason for using SPSS was its use-friendliness, and the use of charting
capabilities such as pie charts and pivotal tables which allowed to display two or more
dimensions of data in a convenient format. The researcher opted for both application
software so the Google form survey was used for coding the data and Microsoft Excel for
analyzing the data.
2.6 ETHICAL CONSIDERATIONS
In certain disciplines such as education, social sciences, justice, health or any other
similar study field, the use of human subjects in research is quite common. Whenever
human beings are the focus of an investigation, the researcher must look closely at the
ethical implications of the proposed aim. Furthermore, most ethical issues in research fall
into the following categories: protection from harm, right to privacy, honesty, anonymity,
ethical clearance, voluntary participation and informed consent (Leedy & Ormrod 2005).
20
Chapter 3
ANALYSIS
The previous chapter discussed the research methodology used in this study and
this chapter presents the findings of the study on student’s attitudes towards e-learning in
the different University at Bangladesh. The findings are based on the data collected
through questionnaires. Quantitative data is presented in percentages, graphs and tables,
while qualitative data is summarized using narrative reports. The findings are presented
according to the following study objectives:
 To determine the awareness among students of university as an e-learning
platform.
 To ascertain how students benefit from e-learning.
 To investigate the attitude of students towards e-learning.
 To examine the usability of e-learning tools available to students.
3.1 DESCRIPTION OF THE RESPONDENTS
This study category was quantitative data, the target population, as mentioned in
the previous chapter, consisted of 30units of analysis. There were 30web questionnaires
distributed and 23(76%) participants responded, while 7(23%) participants did not respond.
A response rate of 50% or higher was acceptable and it was considered sufficient for
analysis based on the belief that the response rate was sufficient for the study. There were
a number of issues that were encountered during the data collection process. These
included the fact that 2 respondents did not complete all the sections in the web
questionnaire, therefore, I discarded them. Overall, usable data was obtained from 21
(70%) participants.
21
3.2 RESPONDENT’S PERSONAL DETAILS
This section provides a personal details presentation of the respondent’s. The data
includes Gender, Educational Status, Computer, Smartphone, Internet, Blood Group and
level Mobile Data.
3.3.1 GENDER
This question sought to establish variables of the respondents in gender. If one
gender group had participated in this study, the findings would have been biased, therefore
it was important to include both genders in the study.
Table 2: Gender distribution (N=21)
Gender
Frequency Percent Valid Percent
Cumulative
Percent
Valid
Male 7 33.3 33.3 33.3
Female 14 66.7 66.7 100.0
Total 21 100.0 100.0
Table 2 reveals that out of the 21 respondents 14 (66.7%) were female, 7 (33.3%)
were male. It is well known that in Bangladesh universities there are more female than
male students and, in this study, the majority of the respondents were female, 14 (66.7%).
Gender difference is noted in many cases in the use of IT.
22
3.3.2 EDUCATIONAL STATUS
This question sought to establish variables of the respondents in Education Status.
If one Graduate group or Post Graduate group had participated in this study, the findings
would have been biased, therefore it was important to include both Education Status in the
study.
Table 3: Education Status
Educational Status
Frequency Percent Valid Percent
Cumulative
Percent
Valid
Graduate 11 52.4 52.4 52.4
Post Graduate 10 47.6 47.6 100.0
Total 21 100.0 100.0
The respondents were requested to indicate their education status in terms of their
Graduate or Post Graduate of study. As table 3 indicates, out of a total of 21 respondents,
11 (52.4%) students were Graduate; and 10 (47.6%) were Post Graduate. The way in
which they have responded to the questionnaire may possibly depend on their level of
study. The findings also indicated that students at senior levels responded better to the
online survey then those at the lower levels.
23
3.3.3 COMPUTER & SMARTPHONE
Table 4: Computer
Computer
Frequency Percent Valid Percent
Cumulative
Percent
Valid
Yes 18 85.7 85.7 85.7
No 3 14.3 14.3 100.0
Total 21 100.0 100.0
Table 5: Smartphone
Smartphone
Frequency Percent Valid Percent
Cumulative
Percent
Valid
Yes 20 95.2 95.2 95.2
No 1 4.8 4.8 100.0
Total 21 100.0 100.0
From the given sample studied, 18(85.7%) indicated they accessed using
computers, 20 (95.2%) use smart phones and 18 (85.7%) used both. The various IT
devices that students used to access Google form are summarized in table 4 & 5.
The findings inferred from the responses from students in terms of the devices used
to access Google form suggest that the most popular devices used were desktop
computers or laptops and Smartphone. It is encouraging to note that the use of
Smartphone as a study gadget matches the use of laptops or desktop computers, that is,
95.2%. This is in line with the findings by BECTA (2005) who states that adequate level of
access to the ICT infrastructure is the foundation of a university's ability to deliver e-
learning effectively. Noe (2014) cautions that e-learning can be costly because it requires
24
appropriate internet connectivity as well as electronic devices with appropriate software
and settings.
The literature confirms that e-learning can also be delivered through audio and
videotapes, satellite broadcast and interactive televisions (Benson, Elliot, Grant, Holschuh,
Kim & Kim 2002). This is an indication that electronic devices that can be used for e-
learning are not limited to Smartphone, tablets, desktops and laptops as indicated in table
4 & 5.
3.3.4 INTERNET
Table 6: The amount of students have Internet Connection in their residence (N=21)
Internet
Frequency Percent Valid Percent
Cumulative
Percent
Valid
Yes 20 95.2 95.2 95.2
No 1 4.8 4.8 100.0
Total 21 100.0 100.0
The majority of the students, 20 (95.2%), reported that they get Internet Connection
support in their residence, even off-campus support, and only 1(4.8%) responded
negatively, which means that they did not get any Internet support. The findings illustrated
in table 6, indicate that many students have Internet Connection.
25
3.3.5 BLOOD GROUP
Table 7: Blood Group
Blood Group
Frequency Percent Valid Percent Cumulative Percent
Valid
O+ 10 47.6 47.6 47.6
A+ 3 14.3 14.3 61.9
B+ 5 23.8 23.8 85.7
AB+ 3 14.3 14.3 100.0
Total 21 100.0 100.0
From the given sample studied, 10 (47.6%) indicated they have O+ blood Group, 5
(23.8%) have B+ blood Group, 3 (14.3%) have A+ blood Group and 3 (14.3%) indicated
that they have AB+ blood Group. Table 6 shows the summaries of the different blood
groups of the students.
3.3.6 MOBILE DATA
The respondents were asked to indicate the amount of Data they spend on the
internet. The findings indicated that 7(33.3%) of the respondent spend more than 30-
100GB on the internet, 5 (23.8%) spend 10-30GB, 4(19.0%) spend 5-10GB, 4 (19.0%)
don't spend data, and 1 (4.8%) spends 0-5GB. A full summary of the findings is given in
table 4.15.
26
Table 8: The amount of Data students spend on the internet (N=21)
Mobile Data
Frequency Percent Valid Percent
Cumulative
Percent
Valid
0-5GB 1 4.8 4.8 4.8
5-10GB 4 19.0 19.0 23.8
10-30GB 5 23.8 23.8 47.6
30-100GB 7 33.3 33.3 81.0
NA 4 19.0 19.0 100.0
Total 21 100.0 100.0
The respondents were asked to indicate the amount of Data they spend on the
internet. The findings indicated that 7(33.3%) of the respondent spend more than 30-100
GB on the internet, 5 (23.8%) spend 10-30 GB, 4(19.0%) spend 5-10 GB, 4 (19.0%) don't
spend data, and 1 (4.8%) spends 0-5 GB. A full summary of the findings is given in table
4.15.
Based on the findings the data is limited in everything and this extends to internet
for usage. The findings suggest that the respondents can afford the cost associated with
the use of the internet, because the majority, 7(33.3%), spend more than 30-100 GB using
this service. It was believed that the internet would be unlimited for the data spent because
it isn't costly.
Measuring the data used on the internet was intended to assist e-learning
developers. The researcher also sought to determine whether students spend more or less
data on the internet. This would also help to determine the students’ attitude about internet
use. For example, one can easily assume that a student who does not use the internet on
a weekly data basis has a negative attitude about the internet.
27
3.3 THE STUDENTS’ ATTITUDE TOWARDS E-LEARNING
The results shown in table 9 are summarized in figure 1. The summary in figure 1 is simply indicating the results about “agree”
and “disagree”. In table 9 the results for “strongly agree” and “agree” were combined. For example, “strongly agree” + “agree” =
“agree” and “disagree” + “strongly disagree = “disagree”. Not sure was left as is.
Table 9: The students’ attitude towards using e-learning
Statements
Strongly
Disagree
Disagree Total Not Sure Agree Strongly Agree Total
I feel confident in using computers 1(4.76%) 2(9.52%) 14.29% 4(19.05%) 11(52.38%) 3(14.29%) 66.67%
I enjoy using ICT for my studies 0 3(14.29%) 14.29% 2(9.52%) 13(61.90%) 3(14.29%) 76.19%
I believe that e-learning allows me to
acquire new knowledge
0 1(4.76%) 4.76% 6(28.57%) 11(52.38%) 3(14.29%) 66.67%
I believe that e-learning enhances my
learning experience
0 2(9.52%) 9.52% 5(23.81%) 9(42.86%) 5(23.81%) 66.67%
I believe that convenience is an
important feature of e-learning
0 1(4.76%) 4.76% 9(42.86%) 9(42.86%) 2(9.52%) 52.38%
E-learning increases the quality of
learning because it integrates all forms
of media
0 1(4.76%) 4.76% 10(47.62%) 6(28.57%) 4(19.05%) 47.62%
Adopting ICT and e-learning allows for
increased student satisfaction
0 3(14.29%) 14.29% 5(23.81%) 9(42.86%) 4(19.05%) 61.90%
E-learning offers the possibility to
efficiently manage your time.
0 1(4.76%) 4.76% 4(19.05%) 15(71.43%) 1(4.76%) 76.19%
E-learning is not as efficient as a
teaching method.
0 4(19.05%) 19.05% 9(42.86%) 5(23.81%) 3(14.29%) 38.10%
Students who use E-learning materials
need to be updated with the latest trends
in technology.
0 0 0.00% 4(19.05%) 12(57.14%) 5(23.81%) 80.95%
The use of E-learning increases
students' creativity.
0 1(4.76%) 4.76% 6(28.57%) 11(52.38%) 3(14.29%) 66.67%
28
Figure 1: Summary of students’ attitude towards e-learning (N=21)
14.29%
14.29%
4.76%
9.52%
4.76%
4.76%
14.29%
4.76%
19.05%
0.00%
4.76%
19.05%
9.52%
28.57%
23.81%
42.86%
47.62%
23.81%
19.05%
42.86%
19.05%
28.57%
66.67%
76.19%
66.67%
66.67%
52.38%
47.62%
61.90%
76.19%
38.10%
80.95%
66.67%
I FEEL CONFIDENT IN USING COMPUTERS
I ENJOY USING ICT FOR MY STUDIES
I BELIEVE THAT E-LEARNING ALLOWS ME TO ACQUIRE NEW KNOWLEDGE
I BELIEVE THAT E-LEARNING ENHANCES MY LEARNING EXPERIENCE
I BELIEVE THAT CONVENIENCE IS AN IMPORTANT FEATURE OF E-LEARNING
E-LEARNING INCREASES THE QUALITY OF LEARNING BECAUSE IT INTEGRATES
ALL FORMS OF MEDIA
ADOPTING ICT AND E-LEARNING ALLOWS FOR INCREASED STUDENT
SATISFACTION
E-LEARNING OFFERS THE POSSIBILITY TO EFFICIENTLY MANAGE YOUR TIME.
E-LEARNING IS NOT AS EFFICIENT AS A TEACHING METHOD.
STUDENTS WHO USE E-LEARNING MATERIALS NEED TO BE UPDATED WITH THE
LATEST TRENDS IN TECHNOLOGY.
THE USE OF E-LEARNING INCREASES STUDENTS' CREATIVITY.
0.00% 10.00% 20.00% 30.00% 40.00% 50.00% 60.00% 70.00% 80.00% 90.00%
Statements
Students attitudes towards e-learning
Agree
Not Sure
Disagree
29
In the table 9 and figure 1 above, there are 11 Statements to gauge the utilization of
the students’ attitude towards e-learning. The first variable looked at I feel confident in
using computers.
The findings show that 14 (66.67%) of the respondents agreed, 4(19.05%) were not
sure and 3 (14.29%) disagreed. On the second variable, 16 (76.19%) of the respondents
agreed that they enjoy using ICT for their studies, 2 (9.52%) were not sure and 3 (14.29%)
totally disagreed with this statement. Regarding the third variable, which considered e-
learning allows me to acquire new knowledge, 14 (66.67%) of the respondents agreed, 6
(28.57%) were not sure and 1 (4.76%) disagreed. The fourth variable is e-learning
enhances their learning experience and 14 (66.67%) of the respondents agreed with this, 5
(23.81%) were not sure, while 2 (9.52%) disagreed about that the e-learning enhances
their learning experience. Convenience is an important feature of e-learning is the fifth
variable and, in this case, 11 (52.38%) of the respondents agreed and only 9 (42.86%)
was not sure. The sixth variable looked at E-learning increases the quality of learning
because it integrates all forms of media. The findings indicate that 1 (4.76%) disagreed
with this statement, 10 (47.62%) was not sure and 10 (47.62%) agreed that. The seventh
variable stated that adopting ICT and e-learning allows for increased student satisfaction 3
(14.29%) of the respondents did not support this statement, whereas 5 (23.81%) was not
sure and 13 (61.90%) agreed. The eighth variable suggests that E-learning offers the
possibility to efficiently manage your time and 16 (76.19%) of the respondents agreed, 4
(19.05%) were not sure and 1 (4.76%) disagreed. The ninth variable stated that E-learning
is not as efficient as a teaching method 4 (19.05%) of the respondents did not support this
statement, whereas 9 (42.86%) was not sure and 8 (38.10%) agreed. The tenth variable
suggests that Students who use E-learning materials need to be updated with the latest
trends in technology and 17 (80.95%) of the respondents agreed, 4 (19.05%) were not
sure and 0 (0 %) disagreed. The eleventh and last variable suggests that the use of E-
learning increases students' creativity and 14 (66.67%) of the respondents agreed, 6
(28.57%) were not sure and 1 (4.76%) disagreed. A summary of the results is illustrated in
table 9 above and figure 1.
30
FINDINGS
3.4 AWARENESS OF STUDENTS ABOUT E-
LEARNING PLATFORM
E-learning platforms have different features for specific modules or subjects to offer
teaching and learning. These platforms allow students globally with multitudes of
opportunities to interact through students attitudes towards e-learning. This research
concludes that students’ awareness of elearning has shown that students have got
different understandings about e-learning, for instance about different kind of online
Courses like Google classroom. If we highlighted that e-learning is for distance learning,
some can revealed that it is for online courses and others considered it as web-based
training. In addition, a few students did not know what e-learning is for. The findings in
relation to this objective can be summarized as follow:
 Many students are using the following relevant devices in order to access e-learning
platforms: Smartphone, desktops, laptops.
 Students are using Google classroom for submitting their assignments.
 Facebook, Zoom meeting, Whatsapp as a good platform for interacting with other
students.
 It enables students to engage and participate in discussion forums.
 Google classroom keeps students updated because its allow them to check
announcements which are usually posted by lecturers and tutors.
 Lastly, Google classroom is known as a good e-learning platform for accessing
study resources.
31
3.5 HOW STUDENTS BENEFIT FROM E-
LEARNING
The availability of e-learning is beneficial for students as it reduces the cost of
training, as students are able to participate in courses at any time and from anywhere. It
promotes the webbased classroom, which means that there are no traditional classroom
engagements, where students have to waste a lot of money for transport to get to the
lecture halls to attend lectures.
This research therefore concludes that the following benefits of e-learning can be
identified: ease of access to information, it is a safe digital environment for students to
submit their assignments and it enable students to work at their own pace. The findings in
relation to this objective can be summarised as follows:
 Google classroom can be considered e-learning as a flexible teaching and studying
method because it is not bound to a particular time and place.
 E-learning promotes ease of use and the sharing of educational material happens
quickly. E-learning promotes collaboration and greater interaction among students.
 E-learning promotes access to higher education.
 E-learning provides the opportunity for quick feedback.
 E-learning creates confidence in learning.
32
3.6 THE ATTITUDE OF STUDENTS TOWARDS
E-LEARNING
E-learning depends on the effective utilization of ICTs. It has been proved that a
positive attitude is created when students are not afraid to engage with ICT tools. It was
found that the use of new technologies contributed to the development of a positive
attitude for students. The results of the study reveal that most students have a positive
attitude towards e-learning. The findings regarding students’ attitude to e-learning were
determined by looking at their attitude to the utilization of e-learning tool options and the
impact their experiences with computers had on their attitude to e-learning. The results
about students’ attitudes revealed the following:
 It is important that students know how to use the internet.
 Computer literacy should be taught at the first-year level.
 A benefit of e-learning is improved communicate between students and lecturers.
The findings also show that when students had experience with the internet and
have used the operating systems on online courses and the online library databases, it has
helped students to overcome negative attitudes about e-learning.
33
Chapter 4
4.1 CONCLUSIONS
The objective of the study was to establish the attitudes towards e-learning at
different university student. In this regard, it can be concluded that many students are
aware of e-learning irrespective of their Gender, Educational Status, Computer,
Smartphone, Internet, Blood Group and level Mobile Data. This study can also conclude
that e-learning cannot really be defined by one term and that the majority of students
considered it as the online presentation of a course. This study concluded that many
students use different devices in order to engage in e-learning, with cellphones, desktop
computers and laptops all commonly used. Also, it has been concluded that students used
social media to submit assignments, for general interaction with other students and to
retrieve study resources.
It is recognized in the study that students are benefiting from e-learning, because
they can easily retrieve information. This study also concludes that students are confident
about using e-learning because of the security, which is properly managed and very
restricted in cases such as cyberbullying. It was also indicated that e-learning is preferable
because it allows for more freedom for students to engage with their study materials, with
fellow students or the lecturer in their own space and at a time that suits them. This study
also concluded that many students feel that they are benefiting from e-learning because of
its advantages. The majority of students benefit from e-learning because of the support
that is available to them when accessing resources. The conclusion is that technology and
e-learning are a good enablers in information access.
34
4.2 RECOMMENDATIONS
The objective of the study was to investigate student’s attitudes towards e-learning
in the different University at Bangladesh. The recommendations below are based on the
findings of the study and the literature reviewed.
 The university should carefully establish the level of access that students have
to information and communication technologies in rural areas, because this
study showed that students in certain areas, especially in rural areas, are having
some challenges regarding access service points. In terms of academic level,
this study recommends that the university should provide computer literacy
courses at all regional offices in order to assist, especially, the first-year level
students. It is a common fact that not all matriculate have acquired computer
literacy skills. In other words, all computer laboratories in the regions or
education centers must recruit an IT Specialist or International Computers
Drivers Licence (ICDL) Trainer. This person will provide assistance to first-year
students, when such help is needed, and will be responsible for ensuring that all
students who come to the regional offices for a first time get trained in computer
literacy. By so doing, all student will experience the advantages associated with
e-learning university. If this initiative is considered, the students will be
capacitated with computer skills, which will help them to interact with or engage
on an e-learning platform certain division.
 It has been noted that not all students know what e-learning is; therefore, as part
of the university for first-time users of the e-learning, students should be also be
provided with training with regard to the tools that are available on e-learning.
This will ensure that all students are comfortable with the learning management
system. From the findings, I can assume that there has been no such
investigation, especially with regard to the ICT needs of first level students. It
could be that they do not perform very well in their first level because they are
not familiar with the system and they have to learn how to navigate the system
before they can learn the content.
35
ICT management of university should also try to embed the many social networks
that are currently available onto the e-learning platform because that will encourage
students to effectively interact with the system. Even though Facebook is not an open
source, there many Facebook users who are also enrolled at university. On the discussion
forums, students would organize study groups, but they prefer to create these groups on
WhatsApp. To overcome this, where students organize themselves separately, the
university should infuse all these applications on the e-learning platform.
4.3 CONCLUSION
The study investigated Students attitudes towards e-learning in the different
University student at the Bangladesh. This study was organized into 4 chapters. Chapter
One of this study could be considered the engine that drove the rest of the study. Chapter
Tow presented the research methodology, where all applicable methods were explained in
detail with regard to the study so that the reader knows exactly “what”, “where” and “how”
data has been collected and to allow a reasonable replication of the study. Chapter Three
presented an analysis, presentation and interpretation of the results of the study, a
discussion and an interpretation of the data collected, which was done through the use of
questionnaires. Chapter Four served as a summary of each chapter, including a summary
of the results and recommendations, as well as a conclusion to the problem statement and
the objectives of the study to make sure that they have been responded to. Finally, the
areas for further research were identified, based on the findings.
36
REFERENCES
Abu-Hassan-Assari, MH. 2005. Adult learners and e-learning readiness: a case study. A paper
presented at the European College Teaching & Learning Conference. Athens, Greece 13-17 June.
Al-adwn, A & Smedlley, J. 2012. Implementing e-learning in the Jordanian higher education system:
factors affecting impact. International Journal of Education and Development using Information and
Communication Technology 8(1): 121-135.
Al-Busaidi, KA & Al-Shihi, H. 2010. Instructors' acceptance of learning management systems: a
theoretical framework. Communications of the International Business Information Management Associations
1-10.
Babbie, E & Mouton, J. 2001. The practice of social research. Cape Town: Oxford University Press.
Batalla-Busquets, JM & Pacheco-Bernal, C. 2013. On-the-job e-learning: workers’ attitudes and
perceptions. The International Review of Research in Open and Distance Learning 14(1).
http://www.irrodl.org/index.php/irrodl/article/view/1304/2417. (Accessed 22 September 2015).
Bean, M. 2003. Are you ready for e-learning? Assessing e-learning readiness. MediaPro Newsletter:
Tips and tricks of the trade. http://www.mediapro.com/html/resources/news1-vol5-01.htm. (Accessed 11
November 2013).
Becker, H. 1991. When powerful tools meet conventional beliefs and institutional constraints.
Computing Teacher 18(8): 6–9.
Becker, R & Jokivirta, L. 2007. Online learning in universities: selected data from the 2006
Observatory survey – November 2007. The observatory on borderless higher education (OBHE).
http://www.obhe.ac.uk. (Accessed 13 November 2012).
De Villiers, MR. 2005. E-learning artefacts: are they based on learning theory? Alternation 12 (1b):
345-371.
De Villiers, MR. 2007. An action research approach to the design, development and evaluation of an
interactive e-learning tutorial in a cognitive domain. Journal of Information Technology Education 6: 455-
479.
EDUCAUSE. 2003. Impact and challenges of e-learning. Supporting E-learning in Higher Education
3(0). http://net.educause.edu/ir/library/pdf/ers0303/rs/ers03036.pdf (Accessed 13 March 2014).
Fares, A. 2007. ICT infrastructure, applications, society, and education. Nairobi: Strathmore
University Press.
Ferriman, J. 2013. Hottest e-learning trends [INFOGRAPHIC]. http://www.learndash.com/2013-
hottest-e-learning-trends-infographic/ (Accessed 11 November 2013).
Fisher, M. 1991. Computerphobia in adult learners. Computer Education 14-19.
37
Fink, A. 2010. Conducting research literature reviews: from the Internet to paper. Los Angeles:
SAGE.
Gasco, JL, Llopis, J & Gonzalez, MR. 2004. The use of information technology in training human
resources: an e-learning case study. Journal of European Industrial Training 28: 370-382.
Graff, M. 2003. Cognitive style and attitudes towards using online learning and assessment methods.
Electronic Journal of e-Learning 1: 21-28.
Gray, G & Guppy, N. 2007. Successful surveys: research methods and practice. 4th edition. Toronto:
Harcourt Canada
Gutierrez, K. 2015. Shift's e-learning blog. http://info.shiftelearning.com/blog/author/karlagutierrez.
(Accessed 10 January 2015).
Gutwin, C & Greenberg, S. 2002. A descriptive framework of workspace awareness for real-time
groupware. Journal of Computer Supported Cooperative Work 411- 446.
Hall, JC. 2001. Retention and wastage in FE and HE. The Scottish Council for Research in
Education. http://www.ulster.ac.uk/star/resources/retention%20and%20wastage_hall.pdf. (Accessed 03
February 2015)
Haney, D. 2002. Assessing organizational readiness for e-learning: 70 questions to ask. Performance
Improvement 41(4): 8-13.
Helen, A. 2010. Doing a literature review in health and social care (electronic resource): a practical
guide. 2nd edition. Maidenhead: McGraw-Hill Education.
Internet World Stats. 2012. Internet usage statistics for Africa.
http://www.internetworldstats.com/stats1.htm (Accessed 3 April 2014).
Jan, P, Lu, H & Chou, T. 2012. The adoption of e-learning: an institutional theory perspective. The
Turkish Online Journal of Educational Technology 11(3).
Mohammed, JSA, Rosnaini, M, Kamariah, AB & Ahmad, FMA. 2012. Factors influencing the use of
learning management system in Saudi Arabian higher education: a theoretical framework. Canadian Center
of Science and Education 2(2). http://www.ccsenet.org/journal/index.php/hes/article/view/14465/11537.
(Accessed 18 January 2014).
Mugenda, OM & Mugenda, AG. 2012. Research methods dictionary. Nairobi: Applied and Training
Services.
NASSP Bulletin, 2001. E-learning quality: the concord model for learning from a distance. Sage.
http://www.sagepublications.com/ (Accessed 02 September 2012).
Noe, RA. 2014. E-learning and use of technology in training.
http://answers.mheducation.com/business/management/employee-training-anddevelopment/e-learning-and-
use-technology-training (Accessed 31 March 2014).
Oxford Dictionary. 2013. New York, Oxford University Press.
38
Ramos, M & Ortega, AC. 2006. Building a successful archival programme: a practical approach.
Oxford: Chandos Publishing.
Teo, CB & Gay, RKL. 2006. A knowledge-driven model to personalize e-learning. Journal of
Educational Resources in Computing (1): 1-15.
UNISA Web. 2013.
http://www.unisa.ac.za/default.asp?Cmd=ViewContent&ContentID=833&Preview=True
&P_XSLFile=unisa/accessibility.xsl. (Accessed 09 May 2013).
University of South Africa, 2007. UNISA policy on research ethics. Pretoria.
http://cm.unisa.ac.za/contents/departments/res_policies/docs/ResearchEthicsPolicy_apprv
Counc_21Sept07.pdf. (Accessed 25 January 2014).
UNESCO. 2002. Open and distance learning: trends, policy and strategy considerations.
http://unesdoc.unesco.org/images/0012/001284/128463e.pdf. (Accessed 11 August 2012).
Virtual Studies.net. 2005. Role of the student and the instructor in e-learning.
http://www.virtualstudies.net/role-of-the-student-and-instructor-in-elearning.php. (Accessed 13 June 2013).
Lime(https://www.limesurvey.org)
(Isik, 2008; Shee & Wang, 2008; Sun, Tsai, Finger, & Chen, 2008) (Wang, 2003) (Benkovic & Dobrota,
2012) (Berman & Levine, 2008; Bouhnik & Marcus, 2006; Capper, 2002; Douglas, Gregg, & Mangione,
2001; Motiwalla, 2007) (Kim & Bonk, 2006) (Bouhnik & Marcus, 2006; Capper, 2002; Concannon, Flynn,
& Campbell, 2005; Horvat, Dobrota, Krsmanovic, & Cudanov, 2015)
((Jovic, Milutinovic, Kos, & Tomazic, 2012) (Isik, 2008; Shee & Wang, 2008; Sun, Tsai, Finger, & Chen,
2008) (Wang, 2003) (Benkovic & Dobrota, 2012) (Berman & Levine, 2008; Bouhnik & Marcus, 2006;
Capper, 2002; Douglas, Gregg, & Mangione, 2001; Motiwalla, 2007) (Kim & Bonk, 2006)(Christie et al
2004) (Laurillard 2004) (Arabasz et al 2003) (Singh, O'Donoghue, and Worton 2003, Laurillard 2004)
(Sivapalan and Cregan 2005. Concannon and Campbell 2005) (Liaw & Chen, 2007; Park, Nam, & Cha,
2012). (Buzzetto-More, 2015; Cakir & Solak, 2014; Costley & Lange, 2017; Hung, Yang, Fang, Hwang, &
Chen, 2014; Liaw & Chen, 2007; Luzon & Leton, 2015; O’Connor, McDonald, & Ruggiero, 2014; te Pas,
Waard, Blok, Pouw, & van Dijk, 2016; Violante & Vezzetti, 2014; Wang & Antonenko, 2017)
https://books.google.com.bd/books?id=o525BQAAQBAJ&pg=PA182&lpg=PA182&dq=Semugabi+
and+de+Villiers+(2010)&source=bl&ots=FckfRd8lY8&sig=ACfU3U15v7WqxR4Wtn7XJa7AqhcAhe8yJg
&hl=en&sa=X&ved=2ahUKEwj9quPCwNvpAhWSX3wKHXKoDAMQ6AEwEnoECAoQAQ#v=onepage
&q=Semugabi%20and%20de%20Villiers%20(2010)&f=false
https://www.researchgate.net/publication/290139198_Effectiveness_of_heuristic_evaluation_in_usa
bility_evaluation_of_elearning_applications_in_higher_educ
https://www.researchgate.net/publication/258183313_Postcourse_Evaluations_of_WebCT_Web_Co
urse_Tools_Classes_by_Social_Work_Students
https://www.unisa.ac.za/sites/myunisa/default/
https://www.google.com/search?client=opera&q=ODL+environment&sourceid=opera&ie=UTF-
8&oe=UTF-8
39
APPENDIX
Questionnaire for students
Student’s attitudes towards e-learning IN different university students AT
Bangladesh.
Dear Prospective Respondent
My name is Shakila Ahmed and I am student of Bachelor of Business
Administration at the Manarat International University of Bangladesh. I am carrying out a
study on “Students attitudes towards e-learning in different university students AT
Bangladesh”. The application for conducting research involving different university
students or data in respect of the above study has been submitted to the supervisor and
the permission or ethical clearance will expected on 01 June 2020.
I kindly request your participation in this survey. The information you provide will be
used solely for research purposes. You have been selected to participate in this survey
because you are university student. You are, however, under no obligation to complete the
survey and can withdraw from the study prior to submitting the survey. Also note that the
survey is developed to be anonymous and I, as researcher, will have no way of connecting
the information you provide to you personally. You will not be able to withdraw from the
study once you have clicked the submit button based on the anonymous nature of the
survey. If you choose to participate in this survey, it will take no more than 5 to 10 minutes
of your time. I do not foresee that you will experience any negative consequences by
completing this web-survey. Nevertheless, the researcher undertakes to keep any
individual information provided herein confidential, not to let it out of his possession, and to
analyze the feedback received only on a group level. The records will be kept for three
weeks for completing study purposes where after it will be permanently deleted from the
hard drive of the computer.
It is hoped that the information I gain from this survey will help me in completing my
dissertation. You will not be reimbursed or receive any incentives for your participation in
the survey. Should you require any further information, want feedback on the study or
need to contact the researcher about any aspect of this study, feel free to do so.
Thanking you in advance for your time.
40
Kind regards
Shakila Ahmed
Department of BBA
Tel: 01551618247
Email: shakslysnaile@gmail.com
Consent letter for students
CONSENT Statement of Agreement to Participate in the Research Study:
 I hereby confirm that I have been informed by the researcher, Mrs. Shakila
Ahmed, about the nature, conduct, benefits and risks of this study.
 I have also received, read and understood the above written information
(Participant Letter of Information) regarding the study.
 I am aware that the results of the study, including any personal details, will be
anonymously processed into a study report.
 In view of the requirements of research, I agree that the data collected during
this study can be processed in a computerized system by the researcher.
 I may, at any stage, without prejudice, withdraw my consent and participation in
the study.
 I have had sufficient opportunity to ask questions and (of my own free will)
declare myself prepared to participate in the study.
Please tick the box below to indicate your consent.
I HAVE READ THE CONSENT FORM AND HEREBY AGREE TO
PARTICIPATE IN THIS STUDY *
41
Section A: Background information
42
Section B: Questionnaire for “Students
attitudes towards e-Learning”
STUDENT PERCEPTIONS
Thank you very much for your valuable time!

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“Students Attitudes Towards E-learning”

  • 2. “STUDENTS ATTITUDES TOWARDS E-LEARNING” Shakila Ahmed Supervisor Md. Abdullah Al Mahmud Assistant Professor, Department of Business Administration Manarat International University Computer Applications in Business Spring-2020 1749BBA03958
  • 3. TRANSMITTAL LETTER 30th May 2020 Md. Abdullah Al Mahmud Course Instructor Manarat International University Dear Sir, I’m submitting the final assessment report on “Students attitudes towards e-learning”, which you authorized. This report is survey cum analytical in neutral. In the preparation of the report I strictly followed all your instructions and requirements. Sincerely, Shakila Ahmed
  • 4. iii  ABSTRACT E-learning is becoming a widespread method of gaining knowledge in a global environment. Accessibility and variety of online content encourage more and more people to get involved in learning using digital resources. However, there has been limited research exploring the factors that could influence students’ attitudes regarding e-learning. In this study, field research was conducted to determine which factors affect student’s attitudes towards e-learning. The Google form questionnaire was developed to collect data about factors that influence attitudes towards e-learning. A total of 20 students were the study cohort. Three factors were identified using principal component analysis: e-learning usefulness, ease of use, and content design. SPSS analysis was conducted to determine the strength of the factors influencing attitudes towards e-learning. All factors had a significant influence on attitude towards e-learning. Usefulness of e-learning had the strongest impact on students’ e- learning intention. Our study will contribute to the existing work in this field by emphasizing the importance of perception of content design on attitudes towards e-learning. Keywords- e-learning, attitudes towards e-leaning, factors, Technology Acceptance Model, e- learning content design, online learning, IT education, ITC.
  • 5. iv  ACKNOWLEDGMENTS I would like to express my deep gratitude to Professor Md. Abdullah Al Mahmud, my research supervisor, for her patience, guidance, enthusiastic encouragement and useful critiques of this research work and for her Report Guidelines to assistance in keeping my progress on schedule. My grateful thanks are also extended to Google from & my Friends for their help in collecting data, to SPSS & Excel which helped me calculate the data analysis with describe and to technology for support in the survey. I would also like to extend my thanks to the technicians of the lab of the Manarat International University for their help in offering me the resources in running the program. Finally, I wish to thank my parents for their support and encouragement throughout my study. Last, but definitely not least, to God be the glory. He gives me the strength and my prayers were all.
  • 6. v TABLE OF CONTENTS  ABSTRACT............................................................. iii  ACKNOWLEDGMENTS..................................... iv Chapter 1........................................................................7 1.1 INTRODUCTION.................................................7 1.2 STATEMENT OF THE PROBLEM ..................9 1.3 AIM OF THE STUDY........................................10 1.4 OBJECTIVES OF THE STUDY......................10 1.5 SCOPE AND LIMITATIONS...........................11 1.6 RESEARCH QUESTIONS ..............................12 Chapter 2......................................................................14 2.1 QUANTITATIVE RESEARCH ........................14 2.2 ADVANTAGES OF SURVEY METHOD.......15 2.3 DISADVANTAGES OF SURVEY METHOD 15 2.4 RESEARCH METHODOLOGY ......................16 2.4.1. SAMPLING METHODOLOGY....................17 2.4.2. DATA COLLECTION STRATEGY............17 2.4.3. DATA ANALYSIS PROCEDURE...............18 2.5 ANALYSIS OF THE QUANTITATIVE DATA FROM QUESTIONNAIRES........................................19 2.6 ETHICAL CONSIDERATIONS.......................19 Chapter 3......................................................................20 ANALYSIS ....................................................................20 3.1 DESCRIPTION OF THE RESPONDENTS...20 3.2 RESPONDENT’S PERSONAL DETAILS ...21
  • 7. vi 3.3.1 GENDER.........................................................21 3.3.2 EDUCATIONAL STATUS............................22 3.3.3 COMPUTER & SMARTPHONE .................23 3.3.4 INTERNET.....................................................24 3.3.5 BLOOD GROUP............................................25 3.3.6 MOBILE DATA..............................................25 3.3 THE STUDENTS’ ATTITUDE TOWARDS E- LEARNING....................................................................27 FINDINGS .....................................................................30 3.4 AWARENESS OF STUDENTS ABOUT E- LEARNING PLATFORM ............................................30 3.5 HOW STUDENTS BENEFIT FROM E- LEARNING....................................................................31 3.6 THE ATTITUDE OF STUDENTS TOWARDS E-LEARNING................................................................32 Chapter 4......................................................................33 4.1 CONCLUSIONS................................................33 4.2 RECOMMENDATIONS....................................34 4.3 CONCLUSION...................................................35 REFERENCES .............................................................36 APPENDIX....................................................................39 Questionnaire for students ......................................39 Section A: Background information ......................41 Section B: Questionnaire for “Students attitudes towards e-Learning”..................................................42
  • 8. 7 Chapter 1 1.1 INTRODUCTION E-learning is the use of information technologies to deliver information for education and training, regardless of time restrictions or geographic proximity*1. It is one of the most significant developments in the IT industry*2. In recent years, E-learning has become a popular way of gaining knowledge*3 for many students worldwide, because it represents an easy, modern, and cost-effective solution for universities and lecturers, as well as students*4. E-learning systems have been widely used and applied in education in the last 20 years*5. E-learning in the developed countries is a popular phrase, as Anderson (2005) pointed out that if we search for the phrase e-learning in one of the internet search engines, we would receive more than three million hits. E-learning has been defined in a variety of ways in the literature. The most common definition states that e-learning or electronic learning in higher education is a technique to enhance learning and teaching experiences and used to educate students with or without their instructors through any type of digital media*6 and or utilizing many ICT information and communication technologies*7 In recent years the Higher Education sectors are concentrating on the online context of e-learning by using the Internet to enhance education.*8 Information Technology (IT) has emerged as an important component of society. Many private higher education institutions around the world are using e-learning in their education curriculum to compete with others and sur le financially. Also many higher education institutions are changing to new technology in education to enhance student learning experiences and to produce better learning outcomes and competencies.
  • 9. 8 Traditional universities should have a flexible organizational structure to incorporate technology such as e-learning approaches into their education curriculum to improve student learning experience*9 There are some important factors for the success of e-learning during implementation in Higher Education institutions. Poor preparation can affect the use of e- learning facilities. Poor instructor awareness and training in using e-learning facilities will lead to poor outcomes. The availability of connections to e-learning websites combined with slow downloads discourages students from using e-learning. With the various facilities of Information and Communication Technology (ICT) and the rapid growth of e-learning, computers are now used by students in many education processes and are valuable tools in learning in higher education Accessing online learning resources has become flexible and fast without any geographical barriers*10 The aim of this study is to investigate student's attitudes towards e-learning of different universities.
  • 10. 9 1.2 STATEMENT OF THE PROBLEM Some ones conducted e-learning studies about student’s perceptions in various disciplines but no one looked at student’s perceptions of e-learning in the field of different university student of Bangladesh. In the study on student perceptions of various e-learning components, conducted in the United States of America, Buzzetto-More (2008) reveals that course websites have proved to be an effective means of delivering learning materials, with students responding positively to the quality resources they make available. Wernet, Olliges, and Delicath (2000), in their survey on students who used WebCT in a social work course, established that all of the respondents considered the online course materials beneficial to their overall learning experience. Although the value of e-learning is undisputed, other studies conducted within the global context have suggested that students tend not to use e-learning because of factors including skills shortages due to lack of training, lack of understanding, as well as negative attitudes and perceptions (Minocha & Sharp 2004; Zaharias 2009). Malik, Belawati and Baggaley (2005) add that in an ODL environment students may face more challenges because of infrastructure, geographic areas and not easily adapting to new technologies. These challenges can affect the students’ perceptions of e-learning and increase the number of dropouts in the university system. Therefore, the purpose of this study is to investigate students’ perceptions of and preferences regarding the usability of attitudes towards e-learning as part of teaching and learning.
  • 11. 10 1.3 AIM OF THE STUDY The aim of the study was to examine the perceptions of student’s attitudes towards e-learning. 1.4 OBJECTIVES OF THE STUDY Objective of our study is to analyze Students attitudes towards e-learning of different universities students. To determine the awareness among students attitudes towards e- learning platform.  To ascertain how students benefit from e-learning.  To investigate the attitude of students towards e-learning.  To verify the confident in using computers.  To ascertain how student’s using ICT for studies.  How much e-learning allows students to acquire new knowledge.  To determining how e-learning enhances students' learning experiences.  To know how reliable it is, an important feature of e-learning is the convenience.  To know the opinion of the students, E-learning enhances the quality of learning because it integrates all types of media.  To investigate the use of E-learning increases students' creativity.  To investigate the attitude of students towards e-learning.  To examine the usability of e-learning tools available to students.  How they consuming e-learning and ICT for their daily life & increased study satisfaction.
  • 12. 11 1.5 SCOPE AND LIMITATIONS The study focused on the students from the different university focusing only on the University Student's. The study consisted of a case study whereby a survey-questionnaire used to collect data. In the limited time available, the study was restricted to the online through. For the coronavirus disease (COVID-19), I was survey through Google form because I couldn't visit physically. Selecting 17 institution ensured that sufficient time was allocated to the respondents to answer the questionnaires. Also waiting for participants to give feedback is a major limitation. Designing the web based surveys required a lot of time and once they were implemented a lot of administration work had to be done because participants needed to be reminded all the time to participate. Even those who agreed to participate were not guaranteed that they were going to participate or respond. Technical hitches with the online survey occurred whereby some participants could not open the link and needed to be assisted by giving them the appropriate procedures. As far as I know, all the students among my acquaintances were expected to take part in the survey-questionnaire, but 21 took part.
  • 13. 12 1.6 RESEARCH QUESTIONS  I feel confident in using computers  I enjoy using ICT for my studies  I believe that e-learning allows me to acquire new knowledge  I believe that e-learning enhances my learning experience  I believe that convenience is an important feature of e-learning  E-learning increases the quality of learning because it integrates all forms of media  Adopting ICT and e-learning allows for increased student satisfaction  E-learning offers the possibility to efficiently manage your time.  E-learning is not as efficient as a teaching method.  Students who use E-learning materials need to be updated with the latest trends in technology.  The use of E-learning increases students' creativity.
  • 14. 13 Table 1 : Objectives, research questions and data collection tools May 31, 2020 Objectives Research questions Data collection tools To ascertain how students benefit from e-learning. I feel confident in using computers Questionnaire To investigate the attitude of students towards e-learning. I enjoy using ICT for my studies Questionnaire To verify the confident in using computers. I believe that e-learning allows me to acquire new knowledge Questionnaire To ascertain how student’s using ICT for studies. I believe that e-learning enhances my learning experience Questionnaire How much e-learning allows students to acquire new knowledge. I believe that convenience is an important feature of e-learning Questionnaire To determining how e-learning enhances students' learning experiences. E-learning increases the quality of learning because it integrates all forms of media Questionnaire To know how reliable it is, an important feature of e-learning is the convenience. Adopting ICT and e-learning allows for increased student satisfaction Questionnaire To know the opinion of the students, E-learning enhances the quality of learning because it integrates all types of media. E-learning offers the possibility to efficiently manage your time. Questionnaire To investigate the use of E-learning increases students' creativity. E-learning is not as efficient as a teaching method. Questionnaire To investigate the attitude of students towards e-learning. Students who use E-learning materials need to be updated with the latest trends in technology. Questionnaire To examine the usability of e-learning tools available to students. The use of E-learning increases students' creativity. Questionnaire HOW THEY CONSUMING E-LEARNING AND ICT FOR THEIR DAILY LIFE & INCREASED STUDY SATISFACTION
  • 15. 14 Chapter 2 2.1 QUANTITATIVE RESEARCH This method was preferred because the aim of this method is to obtain data that is statistically relevant and usually used to answer questions such as "how many", "where from" and "how much" (Silverman 2010). Therefore, in seeking such answers, this approach relies on the use of predetermined response categories by means of standardized data collection instruments such as a survey through the mail or structured or semi structured interviews in order for statistical techniques to be used to assist in the interpretation of data (Demirbag 1994). The researcher opted for the quantitative approach also because it mainly involves the use of controlled questionnaires in which the response options are coded and it also allows for large numbers of respondents to be involved. Furthermore, university students are scattered almost all over the Bangladesh and it was very easy to distribute online questionnaire to all student participants. Quantitative research involves identifying the characteristics of an observed phenomenon, which means that it did not change or modify the situation under investigation, nor did it determine the cause-effect relationship. It was pursued to identify facts about students’ perceptions about e-learning based on their opinions and attitudes about the usability of e-learning. One of the strongest point of quantitative data analysis is to arrange large amounts of unclear data into graphical form or numerical summaries thus acceptably answering research questions posed (Ngulube 2009). Also Stangor (2011); Babbie (2010) and Ngulube (2009) agree that quantitative research is more formalized and controlled than qualitative research and it has the possibility of replication using different groups of subjects. This method has helped the researcher to explain that which was a descriptive and also examined a situation as it is
  • 16. 15 2.2 ADVANTAGES OF SURVEY METHOD According to Connaway and Powell (2010), the survey research tends to be relatively inexpensive, at least if the sample or population being surveyed is not large, but it is still often desirable to reduce costs. They further reveal the recommended guidelines for reducing survey cost which are as following:  Shorten the length of data collection  Reduce the number of follow-ups  Limit the pilot or pretesting to a small number of participants  Shorten time spent in developing data collection instruments by adapting already existing instruments  Make the instrument as short as possible  Use nonmonetary incentives to encourage respondents  Reduce the number of survey activities 2.3 DISADVANTAGES OF SURVEY METHOD  Limited sampling and respondent availability - Certain populations are less likely to have internet access and to respond to online questionnaires. It is also harder to draw probability samples based on e-mail addresses or website visitations.  Possible cooperation problems - Although online surveys in many fields can attain response rates equal to or slightly higher than that of traditional modes, internet users today are constantly bombarded by messages and can easily delete your advances.  No interviewer - A lack of a trained interviewer to clarify and probe can possibly lead to less reliable data.
  • 17. 16 2.4 RESEARCH METHODOLOGY This section concerns the research methodology that was used in this study. To identify student's attitudes towards e-learning, we conducted a Google form of the 11 Statements related to the perceived usefulness, ease of use, and design of the e-learning system. Research methodology is the general approach the researcher takes in carrying out the research project. • Online conversations • Questionnaire survey • Answering by the tick mark of questionnaire by the Google form • Answers are accepted by five levels • Receiving feedback by option Methodology is divided into many approaches such as Excel, quantitative, qualitative and for the statistical analysis of the obtained data I used Statistical Package For The Social Sciences (SPSS). This study adopted the quantitative research approach because it involved collecting the same information from all participants in the sample using a questionnaire. The aim of this study is to determine students’ attitudes towards e- learning.
  • 18. 17 2.4.1. SAMPLING METHODOLOGY Participants in the study were 21 students from the different University. Description of the sample is given in Table 2 Table 2: Gender distribution (N=21) Gender Frequency Percent Valid Percent Cumulative Percent Valid Male 7 33.3 33.3 33.3 Female 14 66.7 66.7 100.0 Total 21 100.0 100.0 2.4.2. DATA COLLECTION STRATEGY This study used one data collection tool online questionnaires were administered to students. Study used a web-based questionnaire in order to reach the target audience. There are a number of different tools that can be used to collect survey data, for instance, interviews, focus groups, questionnaires and observation (Kothari 2004). This study used one data collection tools, namely: online questionnaires were administered to students. This online questionnaire was chosen because of its convenience, that is, it could reach students around the country. The researcher approached the participants in their own settings to gain the information needed. The following section presents each instrument of data collection that was used in the study.
  • 19. 18 2.4.3. DATA ANALYSIS PROCEDURE In this study the quantitative data was automatically coded in SPSS and Microsoft Excel as the questionnaires were filled online using the Google form survey software. According to Neuman (2006) in the data analysis the researcher carefully examines empirical information to reach a conclusion based on reasoning and simplifying the complexity of the data. Cooper (2009) argues that, data analysis is the practical application of procedures. He further argues that it is concerned with the sensitising of social researchers with regard to the use, interpretation and evaluation of relevant data. In quantitative research data is analysed using numbers, whilst qualitative research uses words or pictures. Edwards and Talbot (1994) opine that the data analysis methods associated with the survey research design are content analysis, descriptive statistical analysis and statistical testing. The methods used in the analysis of data for this study were dependent on the methods used for data collection. Since both quantitative and qualitative research methods were employed, to consider methods to analysed both types of data collected. Had to transformed data into answers to the original research questions.
  • 20. 19 2.5 ANALYSIS OF THE QUANTITATIVE DATA FROM QUESTIONNAIRES All usable quantitative responses were analyzed using the Google form survey and Microsoft Excel & SPSS. Although the SPSS survey could create tables successfully, I migrated some of the data into Microsoft Excel spread-sheets. The reason was that the tables and figures created by the Google form survey did not always depict the intended picture of the findings. Microsoft Excel was found to have more templates for data manipulation whilst the Google form survey has a cross tabulation function that the researcher found useful in making associations between and across questions. The special reason for using SPSS was its use-friendliness, and the use of charting capabilities such as pie charts and pivotal tables which allowed to display two or more dimensions of data in a convenient format. The researcher opted for both application software so the Google form survey was used for coding the data and Microsoft Excel for analyzing the data. 2.6 ETHICAL CONSIDERATIONS In certain disciplines such as education, social sciences, justice, health or any other similar study field, the use of human subjects in research is quite common. Whenever human beings are the focus of an investigation, the researcher must look closely at the ethical implications of the proposed aim. Furthermore, most ethical issues in research fall into the following categories: protection from harm, right to privacy, honesty, anonymity, ethical clearance, voluntary participation and informed consent (Leedy & Ormrod 2005).
  • 21. 20 Chapter 3 ANALYSIS The previous chapter discussed the research methodology used in this study and this chapter presents the findings of the study on student’s attitudes towards e-learning in the different University at Bangladesh. The findings are based on the data collected through questionnaires. Quantitative data is presented in percentages, graphs and tables, while qualitative data is summarized using narrative reports. The findings are presented according to the following study objectives:  To determine the awareness among students of university as an e-learning platform.  To ascertain how students benefit from e-learning.  To investigate the attitude of students towards e-learning.  To examine the usability of e-learning tools available to students. 3.1 DESCRIPTION OF THE RESPONDENTS This study category was quantitative data, the target population, as mentioned in the previous chapter, consisted of 30units of analysis. There were 30web questionnaires distributed and 23(76%) participants responded, while 7(23%) participants did not respond. A response rate of 50% or higher was acceptable and it was considered sufficient for analysis based on the belief that the response rate was sufficient for the study. There were a number of issues that were encountered during the data collection process. These included the fact that 2 respondents did not complete all the sections in the web questionnaire, therefore, I discarded them. Overall, usable data was obtained from 21 (70%) participants.
  • 22. 21 3.2 RESPONDENT’S PERSONAL DETAILS This section provides a personal details presentation of the respondent’s. The data includes Gender, Educational Status, Computer, Smartphone, Internet, Blood Group and level Mobile Data. 3.3.1 GENDER This question sought to establish variables of the respondents in gender. If one gender group had participated in this study, the findings would have been biased, therefore it was important to include both genders in the study. Table 2: Gender distribution (N=21) Gender Frequency Percent Valid Percent Cumulative Percent Valid Male 7 33.3 33.3 33.3 Female 14 66.7 66.7 100.0 Total 21 100.0 100.0 Table 2 reveals that out of the 21 respondents 14 (66.7%) were female, 7 (33.3%) were male. It is well known that in Bangladesh universities there are more female than male students and, in this study, the majority of the respondents were female, 14 (66.7%). Gender difference is noted in many cases in the use of IT.
  • 23. 22 3.3.2 EDUCATIONAL STATUS This question sought to establish variables of the respondents in Education Status. If one Graduate group or Post Graduate group had participated in this study, the findings would have been biased, therefore it was important to include both Education Status in the study. Table 3: Education Status Educational Status Frequency Percent Valid Percent Cumulative Percent Valid Graduate 11 52.4 52.4 52.4 Post Graduate 10 47.6 47.6 100.0 Total 21 100.0 100.0 The respondents were requested to indicate their education status in terms of their Graduate or Post Graduate of study. As table 3 indicates, out of a total of 21 respondents, 11 (52.4%) students were Graduate; and 10 (47.6%) were Post Graduate. The way in which they have responded to the questionnaire may possibly depend on their level of study. The findings also indicated that students at senior levels responded better to the online survey then those at the lower levels.
  • 24. 23 3.3.3 COMPUTER & SMARTPHONE Table 4: Computer Computer Frequency Percent Valid Percent Cumulative Percent Valid Yes 18 85.7 85.7 85.7 No 3 14.3 14.3 100.0 Total 21 100.0 100.0 Table 5: Smartphone Smartphone Frequency Percent Valid Percent Cumulative Percent Valid Yes 20 95.2 95.2 95.2 No 1 4.8 4.8 100.0 Total 21 100.0 100.0 From the given sample studied, 18(85.7%) indicated they accessed using computers, 20 (95.2%) use smart phones and 18 (85.7%) used both. The various IT devices that students used to access Google form are summarized in table 4 & 5. The findings inferred from the responses from students in terms of the devices used to access Google form suggest that the most popular devices used were desktop computers or laptops and Smartphone. It is encouraging to note that the use of Smartphone as a study gadget matches the use of laptops or desktop computers, that is, 95.2%. This is in line with the findings by BECTA (2005) who states that adequate level of access to the ICT infrastructure is the foundation of a university's ability to deliver e- learning effectively. Noe (2014) cautions that e-learning can be costly because it requires
  • 25. 24 appropriate internet connectivity as well as electronic devices with appropriate software and settings. The literature confirms that e-learning can also be delivered through audio and videotapes, satellite broadcast and interactive televisions (Benson, Elliot, Grant, Holschuh, Kim & Kim 2002). This is an indication that electronic devices that can be used for e- learning are not limited to Smartphone, tablets, desktops and laptops as indicated in table 4 & 5. 3.3.4 INTERNET Table 6: The amount of students have Internet Connection in their residence (N=21) Internet Frequency Percent Valid Percent Cumulative Percent Valid Yes 20 95.2 95.2 95.2 No 1 4.8 4.8 100.0 Total 21 100.0 100.0 The majority of the students, 20 (95.2%), reported that they get Internet Connection support in their residence, even off-campus support, and only 1(4.8%) responded negatively, which means that they did not get any Internet support. The findings illustrated in table 6, indicate that many students have Internet Connection.
  • 26. 25 3.3.5 BLOOD GROUP Table 7: Blood Group Blood Group Frequency Percent Valid Percent Cumulative Percent Valid O+ 10 47.6 47.6 47.6 A+ 3 14.3 14.3 61.9 B+ 5 23.8 23.8 85.7 AB+ 3 14.3 14.3 100.0 Total 21 100.0 100.0 From the given sample studied, 10 (47.6%) indicated they have O+ blood Group, 5 (23.8%) have B+ blood Group, 3 (14.3%) have A+ blood Group and 3 (14.3%) indicated that they have AB+ blood Group. Table 6 shows the summaries of the different blood groups of the students. 3.3.6 MOBILE DATA The respondents were asked to indicate the amount of Data they spend on the internet. The findings indicated that 7(33.3%) of the respondent spend more than 30- 100GB on the internet, 5 (23.8%) spend 10-30GB, 4(19.0%) spend 5-10GB, 4 (19.0%) don't spend data, and 1 (4.8%) spends 0-5GB. A full summary of the findings is given in table 4.15.
  • 27. 26 Table 8: The amount of Data students spend on the internet (N=21) Mobile Data Frequency Percent Valid Percent Cumulative Percent Valid 0-5GB 1 4.8 4.8 4.8 5-10GB 4 19.0 19.0 23.8 10-30GB 5 23.8 23.8 47.6 30-100GB 7 33.3 33.3 81.0 NA 4 19.0 19.0 100.0 Total 21 100.0 100.0 The respondents were asked to indicate the amount of Data they spend on the internet. The findings indicated that 7(33.3%) of the respondent spend more than 30-100 GB on the internet, 5 (23.8%) spend 10-30 GB, 4(19.0%) spend 5-10 GB, 4 (19.0%) don't spend data, and 1 (4.8%) spends 0-5 GB. A full summary of the findings is given in table 4.15. Based on the findings the data is limited in everything and this extends to internet for usage. The findings suggest that the respondents can afford the cost associated with the use of the internet, because the majority, 7(33.3%), spend more than 30-100 GB using this service. It was believed that the internet would be unlimited for the data spent because it isn't costly. Measuring the data used on the internet was intended to assist e-learning developers. The researcher also sought to determine whether students spend more or less data on the internet. This would also help to determine the students’ attitude about internet use. For example, one can easily assume that a student who does not use the internet on a weekly data basis has a negative attitude about the internet.
  • 28. 27 3.3 THE STUDENTS’ ATTITUDE TOWARDS E-LEARNING The results shown in table 9 are summarized in figure 1. The summary in figure 1 is simply indicating the results about “agree” and “disagree”. In table 9 the results for “strongly agree” and “agree” were combined. For example, “strongly agree” + “agree” = “agree” and “disagree” + “strongly disagree = “disagree”. Not sure was left as is. Table 9: The students’ attitude towards using e-learning Statements Strongly Disagree Disagree Total Not Sure Agree Strongly Agree Total I feel confident in using computers 1(4.76%) 2(9.52%) 14.29% 4(19.05%) 11(52.38%) 3(14.29%) 66.67% I enjoy using ICT for my studies 0 3(14.29%) 14.29% 2(9.52%) 13(61.90%) 3(14.29%) 76.19% I believe that e-learning allows me to acquire new knowledge 0 1(4.76%) 4.76% 6(28.57%) 11(52.38%) 3(14.29%) 66.67% I believe that e-learning enhances my learning experience 0 2(9.52%) 9.52% 5(23.81%) 9(42.86%) 5(23.81%) 66.67% I believe that convenience is an important feature of e-learning 0 1(4.76%) 4.76% 9(42.86%) 9(42.86%) 2(9.52%) 52.38% E-learning increases the quality of learning because it integrates all forms of media 0 1(4.76%) 4.76% 10(47.62%) 6(28.57%) 4(19.05%) 47.62% Adopting ICT and e-learning allows for increased student satisfaction 0 3(14.29%) 14.29% 5(23.81%) 9(42.86%) 4(19.05%) 61.90% E-learning offers the possibility to efficiently manage your time. 0 1(4.76%) 4.76% 4(19.05%) 15(71.43%) 1(4.76%) 76.19% E-learning is not as efficient as a teaching method. 0 4(19.05%) 19.05% 9(42.86%) 5(23.81%) 3(14.29%) 38.10% Students who use E-learning materials need to be updated with the latest trends in technology. 0 0 0.00% 4(19.05%) 12(57.14%) 5(23.81%) 80.95% The use of E-learning increases students' creativity. 0 1(4.76%) 4.76% 6(28.57%) 11(52.38%) 3(14.29%) 66.67%
  • 29. 28 Figure 1: Summary of students’ attitude towards e-learning (N=21) 14.29% 14.29% 4.76% 9.52% 4.76% 4.76% 14.29% 4.76% 19.05% 0.00% 4.76% 19.05% 9.52% 28.57% 23.81% 42.86% 47.62% 23.81% 19.05% 42.86% 19.05% 28.57% 66.67% 76.19% 66.67% 66.67% 52.38% 47.62% 61.90% 76.19% 38.10% 80.95% 66.67% I FEEL CONFIDENT IN USING COMPUTERS I ENJOY USING ICT FOR MY STUDIES I BELIEVE THAT E-LEARNING ALLOWS ME TO ACQUIRE NEW KNOWLEDGE I BELIEVE THAT E-LEARNING ENHANCES MY LEARNING EXPERIENCE I BELIEVE THAT CONVENIENCE IS AN IMPORTANT FEATURE OF E-LEARNING E-LEARNING INCREASES THE QUALITY OF LEARNING BECAUSE IT INTEGRATES ALL FORMS OF MEDIA ADOPTING ICT AND E-LEARNING ALLOWS FOR INCREASED STUDENT SATISFACTION E-LEARNING OFFERS THE POSSIBILITY TO EFFICIENTLY MANAGE YOUR TIME. E-LEARNING IS NOT AS EFFICIENT AS A TEACHING METHOD. STUDENTS WHO USE E-LEARNING MATERIALS NEED TO BE UPDATED WITH THE LATEST TRENDS IN TECHNOLOGY. THE USE OF E-LEARNING INCREASES STUDENTS' CREATIVITY. 0.00% 10.00% 20.00% 30.00% 40.00% 50.00% 60.00% 70.00% 80.00% 90.00% Statements Students attitudes towards e-learning Agree Not Sure Disagree
  • 30. 29 In the table 9 and figure 1 above, there are 11 Statements to gauge the utilization of the students’ attitude towards e-learning. The first variable looked at I feel confident in using computers. The findings show that 14 (66.67%) of the respondents agreed, 4(19.05%) were not sure and 3 (14.29%) disagreed. On the second variable, 16 (76.19%) of the respondents agreed that they enjoy using ICT for their studies, 2 (9.52%) were not sure and 3 (14.29%) totally disagreed with this statement. Regarding the third variable, which considered e- learning allows me to acquire new knowledge, 14 (66.67%) of the respondents agreed, 6 (28.57%) were not sure and 1 (4.76%) disagreed. The fourth variable is e-learning enhances their learning experience and 14 (66.67%) of the respondents agreed with this, 5 (23.81%) were not sure, while 2 (9.52%) disagreed about that the e-learning enhances their learning experience. Convenience is an important feature of e-learning is the fifth variable and, in this case, 11 (52.38%) of the respondents agreed and only 9 (42.86%) was not sure. The sixth variable looked at E-learning increases the quality of learning because it integrates all forms of media. The findings indicate that 1 (4.76%) disagreed with this statement, 10 (47.62%) was not sure and 10 (47.62%) agreed that. The seventh variable stated that adopting ICT and e-learning allows for increased student satisfaction 3 (14.29%) of the respondents did not support this statement, whereas 5 (23.81%) was not sure and 13 (61.90%) agreed. The eighth variable suggests that E-learning offers the possibility to efficiently manage your time and 16 (76.19%) of the respondents agreed, 4 (19.05%) were not sure and 1 (4.76%) disagreed. The ninth variable stated that E-learning is not as efficient as a teaching method 4 (19.05%) of the respondents did not support this statement, whereas 9 (42.86%) was not sure and 8 (38.10%) agreed. The tenth variable suggests that Students who use E-learning materials need to be updated with the latest trends in technology and 17 (80.95%) of the respondents agreed, 4 (19.05%) were not sure and 0 (0 %) disagreed. The eleventh and last variable suggests that the use of E- learning increases students' creativity and 14 (66.67%) of the respondents agreed, 6 (28.57%) were not sure and 1 (4.76%) disagreed. A summary of the results is illustrated in table 9 above and figure 1.
  • 31. 30 FINDINGS 3.4 AWARENESS OF STUDENTS ABOUT E- LEARNING PLATFORM E-learning platforms have different features for specific modules or subjects to offer teaching and learning. These platforms allow students globally with multitudes of opportunities to interact through students attitudes towards e-learning. This research concludes that students’ awareness of elearning has shown that students have got different understandings about e-learning, for instance about different kind of online Courses like Google classroom. If we highlighted that e-learning is for distance learning, some can revealed that it is for online courses and others considered it as web-based training. In addition, a few students did not know what e-learning is for. The findings in relation to this objective can be summarized as follow:  Many students are using the following relevant devices in order to access e-learning platforms: Smartphone, desktops, laptops.  Students are using Google classroom for submitting their assignments.  Facebook, Zoom meeting, Whatsapp as a good platform for interacting with other students.  It enables students to engage and participate in discussion forums.  Google classroom keeps students updated because its allow them to check announcements which are usually posted by lecturers and tutors.  Lastly, Google classroom is known as a good e-learning platform for accessing study resources.
  • 32. 31 3.5 HOW STUDENTS BENEFIT FROM E- LEARNING The availability of e-learning is beneficial for students as it reduces the cost of training, as students are able to participate in courses at any time and from anywhere. It promotes the webbased classroom, which means that there are no traditional classroom engagements, where students have to waste a lot of money for transport to get to the lecture halls to attend lectures. This research therefore concludes that the following benefits of e-learning can be identified: ease of access to information, it is a safe digital environment for students to submit their assignments and it enable students to work at their own pace. The findings in relation to this objective can be summarised as follows:  Google classroom can be considered e-learning as a flexible teaching and studying method because it is not bound to a particular time and place.  E-learning promotes ease of use and the sharing of educational material happens quickly. E-learning promotes collaboration and greater interaction among students.  E-learning promotes access to higher education.  E-learning provides the opportunity for quick feedback.  E-learning creates confidence in learning.
  • 33. 32 3.6 THE ATTITUDE OF STUDENTS TOWARDS E-LEARNING E-learning depends on the effective utilization of ICTs. It has been proved that a positive attitude is created when students are not afraid to engage with ICT tools. It was found that the use of new technologies contributed to the development of a positive attitude for students. The results of the study reveal that most students have a positive attitude towards e-learning. The findings regarding students’ attitude to e-learning were determined by looking at their attitude to the utilization of e-learning tool options and the impact their experiences with computers had on their attitude to e-learning. The results about students’ attitudes revealed the following:  It is important that students know how to use the internet.  Computer literacy should be taught at the first-year level.  A benefit of e-learning is improved communicate between students and lecturers. The findings also show that when students had experience with the internet and have used the operating systems on online courses and the online library databases, it has helped students to overcome negative attitudes about e-learning.
  • 34. 33 Chapter 4 4.1 CONCLUSIONS The objective of the study was to establish the attitudes towards e-learning at different university student. In this regard, it can be concluded that many students are aware of e-learning irrespective of their Gender, Educational Status, Computer, Smartphone, Internet, Blood Group and level Mobile Data. This study can also conclude that e-learning cannot really be defined by one term and that the majority of students considered it as the online presentation of a course. This study concluded that many students use different devices in order to engage in e-learning, with cellphones, desktop computers and laptops all commonly used. Also, it has been concluded that students used social media to submit assignments, for general interaction with other students and to retrieve study resources. It is recognized in the study that students are benefiting from e-learning, because they can easily retrieve information. This study also concludes that students are confident about using e-learning because of the security, which is properly managed and very restricted in cases such as cyberbullying. It was also indicated that e-learning is preferable because it allows for more freedom for students to engage with their study materials, with fellow students or the lecturer in their own space and at a time that suits them. This study also concluded that many students feel that they are benefiting from e-learning because of its advantages. The majority of students benefit from e-learning because of the support that is available to them when accessing resources. The conclusion is that technology and e-learning are a good enablers in information access.
  • 35. 34 4.2 RECOMMENDATIONS The objective of the study was to investigate student’s attitudes towards e-learning in the different University at Bangladesh. The recommendations below are based on the findings of the study and the literature reviewed.  The university should carefully establish the level of access that students have to information and communication technologies in rural areas, because this study showed that students in certain areas, especially in rural areas, are having some challenges regarding access service points. In terms of academic level, this study recommends that the university should provide computer literacy courses at all regional offices in order to assist, especially, the first-year level students. It is a common fact that not all matriculate have acquired computer literacy skills. In other words, all computer laboratories in the regions or education centers must recruit an IT Specialist or International Computers Drivers Licence (ICDL) Trainer. This person will provide assistance to first-year students, when such help is needed, and will be responsible for ensuring that all students who come to the regional offices for a first time get trained in computer literacy. By so doing, all student will experience the advantages associated with e-learning university. If this initiative is considered, the students will be capacitated with computer skills, which will help them to interact with or engage on an e-learning platform certain division.  It has been noted that not all students know what e-learning is; therefore, as part of the university for first-time users of the e-learning, students should be also be provided with training with regard to the tools that are available on e-learning. This will ensure that all students are comfortable with the learning management system. From the findings, I can assume that there has been no such investigation, especially with regard to the ICT needs of first level students. It could be that they do not perform very well in their first level because they are not familiar with the system and they have to learn how to navigate the system before they can learn the content.
  • 36. 35 ICT management of university should also try to embed the many social networks that are currently available onto the e-learning platform because that will encourage students to effectively interact with the system. Even though Facebook is not an open source, there many Facebook users who are also enrolled at university. On the discussion forums, students would organize study groups, but they prefer to create these groups on WhatsApp. To overcome this, where students organize themselves separately, the university should infuse all these applications on the e-learning platform. 4.3 CONCLUSION The study investigated Students attitudes towards e-learning in the different University student at the Bangladesh. This study was organized into 4 chapters. Chapter One of this study could be considered the engine that drove the rest of the study. Chapter Tow presented the research methodology, where all applicable methods were explained in detail with regard to the study so that the reader knows exactly “what”, “where” and “how” data has been collected and to allow a reasonable replication of the study. Chapter Three presented an analysis, presentation and interpretation of the results of the study, a discussion and an interpretation of the data collected, which was done through the use of questionnaires. Chapter Four served as a summary of each chapter, including a summary of the results and recommendations, as well as a conclusion to the problem statement and the objectives of the study to make sure that they have been responded to. Finally, the areas for further research were identified, based on the findings.
  • 37. 36 REFERENCES Abu-Hassan-Assari, MH. 2005. Adult learners and e-learning readiness: a case study. A paper presented at the European College Teaching & Learning Conference. Athens, Greece 13-17 June. Al-adwn, A & Smedlley, J. 2012. Implementing e-learning in the Jordanian higher education system: factors affecting impact. International Journal of Education and Development using Information and Communication Technology 8(1): 121-135. Al-Busaidi, KA & Al-Shihi, H. 2010. Instructors' acceptance of learning management systems: a theoretical framework. Communications of the International Business Information Management Associations 1-10. Babbie, E & Mouton, J. 2001. The practice of social research. Cape Town: Oxford University Press. Batalla-Busquets, JM & Pacheco-Bernal, C. 2013. On-the-job e-learning: workers’ attitudes and perceptions. The International Review of Research in Open and Distance Learning 14(1). http://www.irrodl.org/index.php/irrodl/article/view/1304/2417. (Accessed 22 September 2015). Bean, M. 2003. Are you ready for e-learning? Assessing e-learning readiness. MediaPro Newsletter: Tips and tricks of the trade. http://www.mediapro.com/html/resources/news1-vol5-01.htm. (Accessed 11 November 2013). Becker, H. 1991. When powerful tools meet conventional beliefs and institutional constraints. Computing Teacher 18(8): 6–9. Becker, R & Jokivirta, L. 2007. Online learning in universities: selected data from the 2006 Observatory survey – November 2007. The observatory on borderless higher education (OBHE). http://www.obhe.ac.uk. (Accessed 13 November 2012). De Villiers, MR. 2005. E-learning artefacts: are they based on learning theory? Alternation 12 (1b): 345-371. De Villiers, MR. 2007. An action research approach to the design, development and evaluation of an interactive e-learning tutorial in a cognitive domain. Journal of Information Technology Education 6: 455- 479. EDUCAUSE. 2003. Impact and challenges of e-learning. Supporting E-learning in Higher Education 3(0). http://net.educause.edu/ir/library/pdf/ers0303/rs/ers03036.pdf (Accessed 13 March 2014). Fares, A. 2007. ICT infrastructure, applications, society, and education. Nairobi: Strathmore University Press. Ferriman, J. 2013. Hottest e-learning trends [INFOGRAPHIC]. http://www.learndash.com/2013- hottest-e-learning-trends-infographic/ (Accessed 11 November 2013). Fisher, M. 1991. Computerphobia in adult learners. Computer Education 14-19.
  • 38. 37 Fink, A. 2010. Conducting research literature reviews: from the Internet to paper. Los Angeles: SAGE. Gasco, JL, Llopis, J & Gonzalez, MR. 2004. The use of information technology in training human resources: an e-learning case study. Journal of European Industrial Training 28: 370-382. Graff, M. 2003. Cognitive style and attitudes towards using online learning and assessment methods. Electronic Journal of e-Learning 1: 21-28. Gray, G & Guppy, N. 2007. Successful surveys: research methods and practice. 4th edition. Toronto: Harcourt Canada Gutierrez, K. 2015. Shift's e-learning blog. http://info.shiftelearning.com/blog/author/karlagutierrez. (Accessed 10 January 2015). Gutwin, C & Greenberg, S. 2002. A descriptive framework of workspace awareness for real-time groupware. Journal of Computer Supported Cooperative Work 411- 446. Hall, JC. 2001. Retention and wastage in FE and HE. The Scottish Council for Research in Education. http://www.ulster.ac.uk/star/resources/retention%20and%20wastage_hall.pdf. (Accessed 03 February 2015) Haney, D. 2002. Assessing organizational readiness for e-learning: 70 questions to ask. Performance Improvement 41(4): 8-13. Helen, A. 2010. Doing a literature review in health and social care (electronic resource): a practical guide. 2nd edition. Maidenhead: McGraw-Hill Education. Internet World Stats. 2012. Internet usage statistics for Africa. http://www.internetworldstats.com/stats1.htm (Accessed 3 April 2014). Jan, P, Lu, H & Chou, T. 2012. The adoption of e-learning: an institutional theory perspective. The Turkish Online Journal of Educational Technology 11(3). Mohammed, JSA, Rosnaini, M, Kamariah, AB & Ahmad, FMA. 2012. Factors influencing the use of learning management system in Saudi Arabian higher education: a theoretical framework. Canadian Center of Science and Education 2(2). http://www.ccsenet.org/journal/index.php/hes/article/view/14465/11537. (Accessed 18 January 2014). Mugenda, OM & Mugenda, AG. 2012. Research methods dictionary. Nairobi: Applied and Training Services. NASSP Bulletin, 2001. E-learning quality: the concord model for learning from a distance. Sage. http://www.sagepublications.com/ (Accessed 02 September 2012). Noe, RA. 2014. E-learning and use of technology in training. http://answers.mheducation.com/business/management/employee-training-anddevelopment/e-learning-and- use-technology-training (Accessed 31 March 2014). Oxford Dictionary. 2013. New York, Oxford University Press.
  • 39. 38 Ramos, M & Ortega, AC. 2006. Building a successful archival programme: a practical approach. Oxford: Chandos Publishing. Teo, CB & Gay, RKL. 2006. A knowledge-driven model to personalize e-learning. Journal of Educational Resources in Computing (1): 1-15. UNISA Web. 2013. http://www.unisa.ac.za/default.asp?Cmd=ViewContent&ContentID=833&Preview=True &P_XSLFile=unisa/accessibility.xsl. (Accessed 09 May 2013). University of South Africa, 2007. UNISA policy on research ethics. Pretoria. http://cm.unisa.ac.za/contents/departments/res_policies/docs/ResearchEthicsPolicy_apprv Counc_21Sept07.pdf. (Accessed 25 January 2014). UNESCO. 2002. Open and distance learning: trends, policy and strategy considerations. http://unesdoc.unesco.org/images/0012/001284/128463e.pdf. (Accessed 11 August 2012). Virtual Studies.net. 2005. Role of the student and the instructor in e-learning. http://www.virtualstudies.net/role-of-the-student-and-instructor-in-elearning.php. (Accessed 13 June 2013). Lime(https://www.limesurvey.org) (Isik, 2008; Shee & Wang, 2008; Sun, Tsai, Finger, & Chen, 2008) (Wang, 2003) (Benkovic & Dobrota, 2012) (Berman & Levine, 2008; Bouhnik & Marcus, 2006; Capper, 2002; Douglas, Gregg, & Mangione, 2001; Motiwalla, 2007) (Kim & Bonk, 2006) (Bouhnik & Marcus, 2006; Capper, 2002; Concannon, Flynn, & Campbell, 2005; Horvat, Dobrota, Krsmanovic, & Cudanov, 2015) ((Jovic, Milutinovic, Kos, & Tomazic, 2012) (Isik, 2008; Shee & Wang, 2008; Sun, Tsai, Finger, & Chen, 2008) (Wang, 2003) (Benkovic & Dobrota, 2012) (Berman & Levine, 2008; Bouhnik & Marcus, 2006; Capper, 2002; Douglas, Gregg, & Mangione, 2001; Motiwalla, 2007) (Kim & Bonk, 2006)(Christie et al 2004) (Laurillard 2004) (Arabasz et al 2003) (Singh, O'Donoghue, and Worton 2003, Laurillard 2004) (Sivapalan and Cregan 2005. Concannon and Campbell 2005) (Liaw & Chen, 2007; Park, Nam, & Cha, 2012). (Buzzetto-More, 2015; Cakir & Solak, 2014; Costley & Lange, 2017; Hung, Yang, Fang, Hwang, & Chen, 2014; Liaw & Chen, 2007; Luzon & Leton, 2015; O’Connor, McDonald, & Ruggiero, 2014; te Pas, Waard, Blok, Pouw, & van Dijk, 2016; Violante & Vezzetti, 2014; Wang & Antonenko, 2017) https://books.google.com.bd/books?id=o525BQAAQBAJ&pg=PA182&lpg=PA182&dq=Semugabi+ and+de+Villiers+(2010)&source=bl&ots=FckfRd8lY8&sig=ACfU3U15v7WqxR4Wtn7XJa7AqhcAhe8yJg &hl=en&sa=X&ved=2ahUKEwj9quPCwNvpAhWSX3wKHXKoDAMQ6AEwEnoECAoQAQ#v=onepage &q=Semugabi%20and%20de%20Villiers%20(2010)&f=false https://www.researchgate.net/publication/290139198_Effectiveness_of_heuristic_evaluation_in_usa bility_evaluation_of_elearning_applications_in_higher_educ https://www.researchgate.net/publication/258183313_Postcourse_Evaluations_of_WebCT_Web_Co urse_Tools_Classes_by_Social_Work_Students https://www.unisa.ac.za/sites/myunisa/default/ https://www.google.com/search?client=opera&q=ODL+environment&sourceid=opera&ie=UTF- 8&oe=UTF-8
  • 40. 39 APPENDIX Questionnaire for students Student’s attitudes towards e-learning IN different university students AT Bangladesh. Dear Prospective Respondent My name is Shakila Ahmed and I am student of Bachelor of Business Administration at the Manarat International University of Bangladesh. I am carrying out a study on “Students attitudes towards e-learning in different university students AT Bangladesh”. The application for conducting research involving different university students or data in respect of the above study has been submitted to the supervisor and the permission or ethical clearance will expected on 01 June 2020. I kindly request your participation in this survey. The information you provide will be used solely for research purposes. You have been selected to participate in this survey because you are university student. You are, however, under no obligation to complete the survey and can withdraw from the study prior to submitting the survey. Also note that the survey is developed to be anonymous and I, as researcher, will have no way of connecting the information you provide to you personally. You will not be able to withdraw from the study once you have clicked the submit button based on the anonymous nature of the survey. If you choose to participate in this survey, it will take no more than 5 to 10 minutes of your time. I do not foresee that you will experience any negative consequences by completing this web-survey. Nevertheless, the researcher undertakes to keep any individual information provided herein confidential, not to let it out of his possession, and to analyze the feedback received only on a group level. The records will be kept for three weeks for completing study purposes where after it will be permanently deleted from the hard drive of the computer. It is hoped that the information I gain from this survey will help me in completing my dissertation. You will not be reimbursed or receive any incentives for your participation in the survey. Should you require any further information, want feedback on the study or need to contact the researcher about any aspect of this study, feel free to do so. Thanking you in advance for your time.
  • 41. 40 Kind regards Shakila Ahmed Department of BBA Tel: 01551618247 Email: shakslysnaile@gmail.com Consent letter for students CONSENT Statement of Agreement to Participate in the Research Study:  I hereby confirm that I have been informed by the researcher, Mrs. Shakila Ahmed, about the nature, conduct, benefits and risks of this study.  I have also received, read and understood the above written information (Participant Letter of Information) regarding the study.  I am aware that the results of the study, including any personal details, will be anonymously processed into a study report.  In view of the requirements of research, I agree that the data collected during this study can be processed in a computerized system by the researcher.  I may, at any stage, without prejudice, withdraw my consent and participation in the study.  I have had sufficient opportunity to ask questions and (of my own free will) declare myself prepared to participate in the study. Please tick the box below to indicate your consent. I HAVE READ THE CONSENT FORM AND HEREBY AGREE TO PARTICIPATE IN THIS STUDY *
  • 43. 42 Section B: Questionnaire for “Students attitudes towards e-Learning” STUDENT PERCEPTIONS Thank you very much for your valuable time!