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International Journal of Trend in Scientific Research and Development (IJTSRD)
Volume 4 Issue 3, April 2020 Available Online: www.ijtsrd.com e-ISSN: 2456 – 6470
@ IJTSRD | Unique Paper ID – IJTSRD30414 | Volume – 4 | Issue – 3 | March-April 2020 Page 279
The Effect of using Interactive Whiteboard on the Achievement
of Eleventh Grade Students in Computer Science Subject
Mr. S. Karuppasamy1, Mr. S. Lenin2
1M. Ed Student, 2
Assistant Professor,
1,2Department of Education, Manonmaniam Sundaranar University, Tirunelveli, Tamil Nadu, India
ABSTRACT
The interactive whiteboard is present in the classroom setting to get better
achievement in a computer science subject. The study was conducted on a
sample of 56 eleventh standard student’s selected using subjective sampling
technique. The major objectives of the study were to find out the level of gain
scores of control and experimental group students and to find out the
significant difference in pretest and posttestachievement scoresofthecontrol
and experimental group students. The investigator chooses the experimental
method. The investigator divided by conducting intelligent test. The students
of experimental group were taught using interactive whiteboard, while the
students of control group were taught through normal method of teaching.
Pretest and posttest equivalent groups design was followed for in this study.
Statistical techniques used were paired sample‘t’ test and percentile analysis.
As a result, there is an improvement in students' academic achievement.
KEYWORDS: Control group, Experimental group, Interactive whiteboard,
intelligent test, Normal Method of Teaching, Pretest, and Posttest
How to cite this paper: Mr. S.
Karuppasamy | Mr. S. Lenin "The Effect of
using Interactive Whiteboard on the
Achievement of Eleventh Grade Students
in Computer Science
Subject" Published
in International
Journal of Trend in
Scientific Research
and Development
(ijtsrd), ISSN: 2456-
6470, Volume-4 |
Issue-3, April 2020, pp.279-282, URL:
www.ijtsrd.com/papers/ijtsrd30414.pdf
Copyright © 2020 by author(s) and
International Journal ofTrendinScientific
Research and Development Journal. This
is an Open Access article distributed
under the terms of
the Creative
CommonsAttribution
License (CC BY 4.0)
(http://creativecommons.org/licenses/by
/4.0)
INTRODUCTION
Education plays an important role in student success. Any
person getting a good education can become a good
humanistic person. When a person does not get a good
education, a person is incomplete. So, education makes a
man a right thinker, a correct decision-maker and gives a
positive effect on human life.
The use of technology tools has changed the way of
technology in the classroom compared with traditional
methods. When we use technology theteachingandlearning
process is simple. An interactive whiteboard is an effective
tool in the teaching process. As Zandbergen and Lehrman
suggest, the interactive whiteboard is "an innovation that is
gaining considerable presence in many contemporary
classrooms” (2008, p. 107). An interactive whiteboard has
been recently gaining popularity among the classrooms
because they enable teachers to teach in an enjoyable and
motivating manner.
Need and significance of the study
The importance of the study stems from the importance of
smartboard as a modern method of teaching which is
consistent with global and local principles in the adoption of
the principle of the use of technology in teaching (NCTM,
2000).
Today different forms of technology have entered the
classroom. One of the technology tools is an interactive
whiteboard. An interactive whiteboard used in the
classroom could support this needfurtherasithasincreased
interaction between studentsandteachersandalsoallowing
equal opportunities for both participants to learn in
collaboration with other and it is an effectivetool toincrease
students subject matter and knowledge because of
motivation and attention created by an interactive
whiteboard. So it is necessary to enrich the student
knowledge. Hence the investigator has decided to conduct a
study on the effectiveness of interactive whiteboard among
the higher secondary students.
Review of related literature
Nuri and Muharrem (2015) studied on attitudes of students
and teachers towards the use of interactive whiteboards
initial elementary and secondary school classrooms. The
main objective of the study to understood teachers and
students attitudes toward interactive whiteboard. Two
parallel survey methods adopted for the present study. The
data collected form 255 students and 23 teachersfromthree
private schools by using simple randomsamplingtechnique.
Students from sixth to twelfth grades and teachers from 15
different branches participated in this research study. The
result of the study should that interactive whiteboards are
highly rated by both teachers and students. This study was
statistically not significance of difference between teachers
and students. This study has some educational implications
for policymakers, educator and researchers. The entire
IJTSRD30414
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD30414 | Volume – 4 | Issue – 3 | March-April 2020 Page 280
samples of the students and teachers have been favorable
attitude towards the use of interactive whiteboard.
Amani and Yousif (2015) studied on teacher’s attitudes
towards using interactive whiteboards in English language
classrooms. The objective of the study was explored the
attitudes and insights of Saudi female teachersregardingthe
use of interactive whiteboards in English classroom. Data
was collected from questionnaires from forty threeteachers
at different girl’s schools in Riyadh by using simple random
sampling technique. The result of the study was positive
attitudes toward using the interactive whiteboard in the
English as a foreign language classroom. The finding was
there is a significant difference between student teachers
having internet facility at home and not having internet
facility at home. The study was recommended that English
classroom should be equipped with all supplicants of the
interactive whiteboards. This study suggested that training
is important for teachers to deal with the technological
devices.
Marzano and Haystead (2009) conducted a study aimed to
determine the effect of whiteboard on the academic
achievement of students where it included 85 teachers and
170 classrooms the teachers used whiteboard to teach a
series of lessons, which have been taught later to a different
group of students without the use of technology where the
results indicated that the use of whiteboard was
accompanied by an increase of 16% in student achievement
scores, there was statistically significant differencesinfavor
of the use of whiteboard.
Statement of the problem
The problem is entitled as “the effect of using an interactive
whiteboard on the achievement of eleventh-grade students
in computer science subject”.
Objectives of the study
1. To find out the level of gain scores of Control and
Experimental Group Students.
2. To find out the level of gain scores of Control and
Experimental Group Boys and Girls.
Hypothesis Framed
Ho1 : There is no sign of the difference in achievement gain
scores between control and experimental groups
H02 : There is no significant difference between pretest
achievement scores of students in control and
experimental groups.
H03 : There is no significant difference between posttest
achievement scores of students in control and
experimental groups.
H04 : There is no significant difference betweenpretestand
posttest achievement scores of students in control and
experimental groups.
Method of the study
The investigator adoptedan experimental methodtoanalyze
the result.
Sample
The sample for the present study consists of 56 students of
class XI from a higher secondary level of Sankarankovil area.
A class with 28 students was considered as a control group
and another group with 28 students was treated as the
experimental group. The control group is taught with the
traditional method on the topic ‘Introduction to computer’.
The experimental group is taught with an interactive
whiteboard method on the same topic.
Tool used
In the present study, the investigator has used the
“interactive whiteboard acceptance scale” developed by S.
Karuppasamy and S. Lenin (2019) for collecting the data.
The interactive whiteboard acceptance scale consists of 35
items under five dimensions namely, remembering,
understanding, applying, analyzing and evaluating. The
content validity of IWBAS was established with the help of 5
judges. The reliability of these tools was established by the
split-half method and reliability coefficients were found to
be 0.8675.
Statistical Techniques used
The investigator used the following statistical techniques for the study: percentage analysis andpairt-testforthelargegroups
were used to analyze the data.
Data Analysis
1. Percentage analysis
Objective 1: To find out the level of gain scores of control and experimental group students
Table 1 Level of Gain Scores of Control and Experimental Group Students
Group Low Moderate High
N % N % N %
Control 18 64.29 4 14.29 6 21.43
Experimental 11 39.29 12 42.86 5 17.86
It is inferred from the above table that 64.29% of control group students have a low level, 14.29% of moderate level, and
21.43% of the high level of gain scores. Among the experimental group, 39.29% of the students have a low level,42.29%ofthe
moderate level and 17.86% of them have a high level of gain scores.
Objective 2: To find out the level of gain scores of control and experimental group concerning boys and girls
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD30414 | Volume – 4 | Issue – 3 | March-April 2020 Page 281
Table 2 Level of Gain Scores of control and Experimental Group Boys and Girls
Group Boys Girls
L M H L M H
N % N % N % N % N % N %
Control 16 57.14 0 0 2 7.14 2 7.14 4 14.29 4 14.29
Experimental 9 32.14 5 14.86 2 7.14 2 7.14 7 25.00 3 10.71
It is inferred from the above table, control group boys have 57.14,% of students have a low level, 0% of them have moderate
level, 7.14% of the high level of gain scores. Regarding the control group girls, 7.14% of students have a low level, 14.29% of
them have moderate level, 7.24% of the high level of gain scores
It can be observed from the above table, experimental group 32.14% of the students have a low level, 14.86% of the moderate
level and 7.14% of them have a high level of gain scores. Regarding the experimental group girls, 7.14% of studentshavea low
level, 25.00% of them have a moderate level, 10.71% of the high level of gain scores.
2. Differential Analysis
Ho1: There is no significance of the difference in achievement gain scores between control and experimental groups
Table 3 Significance of Difference in Achievement Gain Scores between Control and Experimental Groups
Group N Mean SD T value P-value
Control 28 15.84 13.56
2.439 .022*
Experimental 28 24.68 14.46
*- Significant at 0.05 level
In the above table, since the P-value is less than 0.05, the null hypothesis is not ACCEPTEData 5%level ofsignificance.Henceit
is concluded that there is a significant difference between the gain scores of control and treatment groups. The mean scores
show that the experimental group performed better than the control group.
H02: There is no significance of the difference between pretest achievement scores of students in control and experimental
groups
Table 4 Significance of Difference between Pretest Achievement Scores of Students in Control and Experimental
Groups
Group N Mean SD Value p-value
Control 28 33.23 14.97
0.561 0.579NS
Experimental 28 35.71 16.85
NS- Not Significant
In the above table, since the p-value is greater than 0.05, the null hypothesis is ACCEPTED ata 5%level ofsignificance.Henceit
is concluded that there is no significance of the difference between pretest achievement scores of students in the control and
experimental group.
H03: There is no significance of the difference between posttest achievement scores of students in control and experimental
groups
Table 5 Significance of Difference between Posttest Achievement Scores of Students in Control and Experimental
Groups
Group N Mean SD t value p-value
Control 28 49.07 19.746
2.319 .028*
Experimental 28 60.39 12.662
*Significant at 0.05 level
In the above table, since the P-value is less than 0.05, the null hypothesis is not ACCEPTED at a 5% level of significance. Hence
there is a significant difference between posttest scores of control and experimental groups. The mean scores show that the
post-test achievement scores of the experimental group high when compared to the control group scores.
H04: There is no significance of the difference between pretest and posttest achievement scores of students in control and
experimental groups
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD30414 | Volume – 4 | Issue – 3 | March-April 2020 Page 282
Table 6 Significance of Difference between Pretest and Posttest Achievement Scores of the Control Group and
Experimental Groups
Group Test Mean SD t value p-value
Control
Pretest 33.23 14.968
6.121 0.000**
Posttest 49.07 19.746
Experimental
Pretest 35.71 16.85
9.034 0.000**
Posttest 60.39 12.66
**- Significant at 0.01 level
In the above table, since the P-value is less than 0.01, the null hypothesis is not ACCEPTED at a 1% level of significance. Hence
there is a significant difference between pretest and posttest achievement scores of the control group. The mean scores show
that posttest achievement scores in computer science in control and experimental groups posttest higher when compared to
control and experimental groups pretest scores.
Findings
1. 64.29% of the control group higher secondary students
have a low level of gain scores.
2. There is no significant difference between pretest
achievement scores of students in the control and
experimental group.
3. There is a significant difference between the posttest
scores of the student in control and experimental
groups.
4. There is a significant difference betweenthepretestand
posttest of the student in control and experimental
groups.
Recommendations
1. Teachers should acquire basic ICT skills
2. Teachers should have a clear idea of how a traditional
classroom is different from classroom equipped with
Smart Board
3. The syllabus should be transformed into software
programs
4. Teachers should be aware of learner’s needs and their
different learning styles. They should accommodate
computer science classes.
Conclusion
It is observed that the pretest result shows no significant
difference in all the samples concerning the method of
teaching while considering the posttest significantly is
observed in the method of teaching. As a whole, on
comparing the pretest and posttest results, the posttest
results show a significant difference in the method of
teaching. It is found that the traditional methodofteachingis
a better method than other methods followed by
conventional methods. This method is effective for teaching
computer science subjects.
References
[1] Kumar, R. C. (2014). Research Methodology. APH
Publishing Corporation: New Delhi.
[2] Everett, B. S. & Landag, S. A. (2016). A handbook of
Statistical Analysis using SPSS ACRC Press Company:
New York
[3] Smart Technologies INC. (2006). Interactive
Whiteboards and Learning: Improving student
Learning outcomes and streamline lesson planning
[4] Mangal, S. K. (2016). Statistics in Psychology and
Education (2nd ed). New Delhi: PHI Private Limited
[5] Deniz, K. A. & Tezel, M. (2009). The Effect using an
Interactive board in Mathematics course
[6] K. W. Vaughan (1958), Educational Measurement
Washington D.C: Council on Education, p-159
[7] R. L. Thorndike (1949) Personal Selection, New York:
John Willey and Sons publications, p-66
[8] K. L. Bean (1957), Construction of Educational and
Personal test New York: McGraw Hill Book Company.
p- 15

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The Effect of using Interactive Whiteboard on the Achievement of Eleventh Grade Students in Computer Science Subject

  • 1. International Journal of Trend in Scientific Research and Development (IJTSRD) Volume 4 Issue 3, April 2020 Available Online: www.ijtsrd.com e-ISSN: 2456 – 6470 @ IJTSRD | Unique Paper ID – IJTSRD30414 | Volume – 4 | Issue – 3 | March-April 2020 Page 279 The Effect of using Interactive Whiteboard on the Achievement of Eleventh Grade Students in Computer Science Subject Mr. S. Karuppasamy1, Mr. S. Lenin2 1M. Ed Student, 2 Assistant Professor, 1,2Department of Education, Manonmaniam Sundaranar University, Tirunelveli, Tamil Nadu, India ABSTRACT The interactive whiteboard is present in the classroom setting to get better achievement in a computer science subject. The study was conducted on a sample of 56 eleventh standard student’s selected using subjective sampling technique. The major objectives of the study were to find out the level of gain scores of control and experimental group students and to find out the significant difference in pretest and posttestachievement scoresofthecontrol and experimental group students. The investigator chooses the experimental method. The investigator divided by conducting intelligent test. The students of experimental group were taught using interactive whiteboard, while the students of control group were taught through normal method of teaching. Pretest and posttest equivalent groups design was followed for in this study. Statistical techniques used were paired sample‘t’ test and percentile analysis. As a result, there is an improvement in students' academic achievement. KEYWORDS: Control group, Experimental group, Interactive whiteboard, intelligent test, Normal Method of Teaching, Pretest, and Posttest How to cite this paper: Mr. S. Karuppasamy | Mr. S. Lenin "The Effect of using Interactive Whiteboard on the Achievement of Eleventh Grade Students in Computer Science Subject" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456- 6470, Volume-4 | Issue-3, April 2020, pp.279-282, URL: www.ijtsrd.com/papers/ijtsrd30414.pdf Copyright © 2020 by author(s) and International Journal ofTrendinScientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative CommonsAttribution License (CC BY 4.0) (http://creativecommons.org/licenses/by /4.0) INTRODUCTION Education plays an important role in student success. Any person getting a good education can become a good humanistic person. When a person does not get a good education, a person is incomplete. So, education makes a man a right thinker, a correct decision-maker and gives a positive effect on human life. The use of technology tools has changed the way of technology in the classroom compared with traditional methods. When we use technology theteachingandlearning process is simple. An interactive whiteboard is an effective tool in the teaching process. As Zandbergen and Lehrman suggest, the interactive whiteboard is "an innovation that is gaining considerable presence in many contemporary classrooms” (2008, p. 107). An interactive whiteboard has been recently gaining popularity among the classrooms because they enable teachers to teach in an enjoyable and motivating manner. Need and significance of the study The importance of the study stems from the importance of smartboard as a modern method of teaching which is consistent with global and local principles in the adoption of the principle of the use of technology in teaching (NCTM, 2000). Today different forms of technology have entered the classroom. One of the technology tools is an interactive whiteboard. An interactive whiteboard used in the classroom could support this needfurtherasithasincreased interaction between studentsandteachersandalsoallowing equal opportunities for both participants to learn in collaboration with other and it is an effectivetool toincrease students subject matter and knowledge because of motivation and attention created by an interactive whiteboard. So it is necessary to enrich the student knowledge. Hence the investigator has decided to conduct a study on the effectiveness of interactive whiteboard among the higher secondary students. Review of related literature Nuri and Muharrem (2015) studied on attitudes of students and teachers towards the use of interactive whiteboards initial elementary and secondary school classrooms. The main objective of the study to understood teachers and students attitudes toward interactive whiteboard. Two parallel survey methods adopted for the present study. The data collected form 255 students and 23 teachersfromthree private schools by using simple randomsamplingtechnique. Students from sixth to twelfth grades and teachers from 15 different branches participated in this research study. The result of the study should that interactive whiteboards are highly rated by both teachers and students. This study was statistically not significance of difference between teachers and students. This study has some educational implications for policymakers, educator and researchers. The entire IJTSRD30414
  • 2. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD30414 | Volume – 4 | Issue – 3 | March-April 2020 Page 280 samples of the students and teachers have been favorable attitude towards the use of interactive whiteboard. Amani and Yousif (2015) studied on teacher’s attitudes towards using interactive whiteboards in English language classrooms. The objective of the study was explored the attitudes and insights of Saudi female teachersregardingthe use of interactive whiteboards in English classroom. Data was collected from questionnaires from forty threeteachers at different girl’s schools in Riyadh by using simple random sampling technique. The result of the study was positive attitudes toward using the interactive whiteboard in the English as a foreign language classroom. The finding was there is a significant difference between student teachers having internet facility at home and not having internet facility at home. The study was recommended that English classroom should be equipped with all supplicants of the interactive whiteboards. This study suggested that training is important for teachers to deal with the technological devices. Marzano and Haystead (2009) conducted a study aimed to determine the effect of whiteboard on the academic achievement of students where it included 85 teachers and 170 classrooms the teachers used whiteboard to teach a series of lessons, which have been taught later to a different group of students without the use of technology where the results indicated that the use of whiteboard was accompanied by an increase of 16% in student achievement scores, there was statistically significant differencesinfavor of the use of whiteboard. Statement of the problem The problem is entitled as “the effect of using an interactive whiteboard on the achievement of eleventh-grade students in computer science subject”. Objectives of the study 1. To find out the level of gain scores of Control and Experimental Group Students. 2. To find out the level of gain scores of Control and Experimental Group Boys and Girls. Hypothesis Framed Ho1 : There is no sign of the difference in achievement gain scores between control and experimental groups H02 : There is no significant difference between pretest achievement scores of students in control and experimental groups. H03 : There is no significant difference between posttest achievement scores of students in control and experimental groups. H04 : There is no significant difference betweenpretestand posttest achievement scores of students in control and experimental groups. Method of the study The investigator adoptedan experimental methodtoanalyze the result. Sample The sample for the present study consists of 56 students of class XI from a higher secondary level of Sankarankovil area. A class with 28 students was considered as a control group and another group with 28 students was treated as the experimental group. The control group is taught with the traditional method on the topic ‘Introduction to computer’. The experimental group is taught with an interactive whiteboard method on the same topic. Tool used In the present study, the investigator has used the “interactive whiteboard acceptance scale” developed by S. Karuppasamy and S. Lenin (2019) for collecting the data. The interactive whiteboard acceptance scale consists of 35 items under five dimensions namely, remembering, understanding, applying, analyzing and evaluating. The content validity of IWBAS was established with the help of 5 judges. The reliability of these tools was established by the split-half method and reliability coefficients were found to be 0.8675. Statistical Techniques used The investigator used the following statistical techniques for the study: percentage analysis andpairt-testforthelargegroups were used to analyze the data. Data Analysis 1. Percentage analysis Objective 1: To find out the level of gain scores of control and experimental group students Table 1 Level of Gain Scores of Control and Experimental Group Students Group Low Moderate High N % N % N % Control 18 64.29 4 14.29 6 21.43 Experimental 11 39.29 12 42.86 5 17.86 It is inferred from the above table that 64.29% of control group students have a low level, 14.29% of moderate level, and 21.43% of the high level of gain scores. Among the experimental group, 39.29% of the students have a low level,42.29%ofthe moderate level and 17.86% of them have a high level of gain scores. Objective 2: To find out the level of gain scores of control and experimental group concerning boys and girls
  • 3. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD30414 | Volume – 4 | Issue – 3 | March-April 2020 Page 281 Table 2 Level of Gain Scores of control and Experimental Group Boys and Girls Group Boys Girls L M H L M H N % N % N % N % N % N % Control 16 57.14 0 0 2 7.14 2 7.14 4 14.29 4 14.29 Experimental 9 32.14 5 14.86 2 7.14 2 7.14 7 25.00 3 10.71 It is inferred from the above table, control group boys have 57.14,% of students have a low level, 0% of them have moderate level, 7.14% of the high level of gain scores. Regarding the control group girls, 7.14% of students have a low level, 14.29% of them have moderate level, 7.24% of the high level of gain scores It can be observed from the above table, experimental group 32.14% of the students have a low level, 14.86% of the moderate level and 7.14% of them have a high level of gain scores. Regarding the experimental group girls, 7.14% of studentshavea low level, 25.00% of them have a moderate level, 10.71% of the high level of gain scores. 2. Differential Analysis Ho1: There is no significance of the difference in achievement gain scores between control and experimental groups Table 3 Significance of Difference in Achievement Gain Scores between Control and Experimental Groups Group N Mean SD T value P-value Control 28 15.84 13.56 2.439 .022* Experimental 28 24.68 14.46 *- Significant at 0.05 level In the above table, since the P-value is less than 0.05, the null hypothesis is not ACCEPTEData 5%level ofsignificance.Henceit is concluded that there is a significant difference between the gain scores of control and treatment groups. The mean scores show that the experimental group performed better than the control group. H02: There is no significance of the difference between pretest achievement scores of students in control and experimental groups Table 4 Significance of Difference between Pretest Achievement Scores of Students in Control and Experimental Groups Group N Mean SD Value p-value Control 28 33.23 14.97 0.561 0.579NS Experimental 28 35.71 16.85 NS- Not Significant In the above table, since the p-value is greater than 0.05, the null hypothesis is ACCEPTED ata 5%level ofsignificance.Henceit is concluded that there is no significance of the difference between pretest achievement scores of students in the control and experimental group. H03: There is no significance of the difference between posttest achievement scores of students in control and experimental groups Table 5 Significance of Difference between Posttest Achievement Scores of Students in Control and Experimental Groups Group N Mean SD t value p-value Control 28 49.07 19.746 2.319 .028* Experimental 28 60.39 12.662 *Significant at 0.05 level In the above table, since the P-value is less than 0.05, the null hypothesis is not ACCEPTED at a 5% level of significance. Hence there is a significant difference between posttest scores of control and experimental groups. The mean scores show that the post-test achievement scores of the experimental group high when compared to the control group scores. H04: There is no significance of the difference between pretest and posttest achievement scores of students in control and experimental groups
  • 4. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD30414 | Volume – 4 | Issue – 3 | March-April 2020 Page 282 Table 6 Significance of Difference between Pretest and Posttest Achievement Scores of the Control Group and Experimental Groups Group Test Mean SD t value p-value Control Pretest 33.23 14.968 6.121 0.000** Posttest 49.07 19.746 Experimental Pretest 35.71 16.85 9.034 0.000** Posttest 60.39 12.66 **- Significant at 0.01 level In the above table, since the P-value is less than 0.01, the null hypothesis is not ACCEPTED at a 1% level of significance. Hence there is a significant difference between pretest and posttest achievement scores of the control group. The mean scores show that posttest achievement scores in computer science in control and experimental groups posttest higher when compared to control and experimental groups pretest scores. Findings 1. 64.29% of the control group higher secondary students have a low level of gain scores. 2. There is no significant difference between pretest achievement scores of students in the control and experimental group. 3. There is a significant difference between the posttest scores of the student in control and experimental groups. 4. There is a significant difference betweenthepretestand posttest of the student in control and experimental groups. Recommendations 1. Teachers should acquire basic ICT skills 2. Teachers should have a clear idea of how a traditional classroom is different from classroom equipped with Smart Board 3. The syllabus should be transformed into software programs 4. Teachers should be aware of learner’s needs and their different learning styles. They should accommodate computer science classes. Conclusion It is observed that the pretest result shows no significant difference in all the samples concerning the method of teaching while considering the posttest significantly is observed in the method of teaching. As a whole, on comparing the pretest and posttest results, the posttest results show a significant difference in the method of teaching. It is found that the traditional methodofteachingis a better method than other methods followed by conventional methods. This method is effective for teaching computer science subjects. References [1] Kumar, R. C. (2014). Research Methodology. APH Publishing Corporation: New Delhi. [2] Everett, B. S. & Landag, S. A. (2016). A handbook of Statistical Analysis using SPSS ACRC Press Company: New York [3] Smart Technologies INC. (2006). Interactive Whiteboards and Learning: Improving student Learning outcomes and streamline lesson planning [4] Mangal, S. K. (2016). Statistics in Psychology and Education (2nd ed). New Delhi: PHI Private Limited [5] Deniz, K. A. & Tezel, M. (2009). The Effect using an Interactive board in Mathematics course [6] K. W. Vaughan (1958), Educational Measurement Washington D.C: Council on Education, p-159 [7] R. L. Thorndike (1949) Personal Selection, New York: John Willey and Sons publications, p-66 [8] K. L. Bean (1957), Construction of Educational and Personal test New York: McGraw Hill Book Company. p- 15