SlideShare a Scribd company logo
1 of 5
Download to read offline
International Journal of Electrical and Computer Engineering (IJECE)
Vol. 7, No. 5, October 2017, pp. 2833~2837
ISSN: 2088-8708, DOI: 10.11591/ijece.v7i5.pp2833-2837  2833
Journal homepage: http://iaesjournal.com/online/index.php/IJECE
Mobile Learning Technologies
Khalil Alsaadat
Department of educational policies, college of education, King Saud University, Riyadh, Saudi Arabia
Article Info ABSTRACT
Article history:
Received Sep 3, 2016
Revised Jun 1, 2017
Accepted Sept 11, 2017
Technological development have altered the way we communicate, learn,
think, share, and spread information. Mobile technologies are those that
make use of wireless technologies to gain some sort of data. As mobile
connectedness continues to spread across the world, the value of employing
mobile technologies in the arena of learning and teaching seems to be both
self-evident and unavoidable The fast deployment of mobile devices and
wireless networks in university campuses makes higher education a good
environment to integrate learners-centered m-learning. This paper discusses
mobile learning technologies that are being used for educational purposes
and the effect they have on teaching and learning methods.
Keywords:
Mobile learning
Technology
Copyright © 2017 Institute of Advanced Engineering and Science.
All rights reserved.
Corresponding Author:
Khalil Alsaadat,
Department of educational policies, college of education,
King Saud University, Riyadh, Saudi Arabia.
Email: alsaadat@gmail.com
1. INTRODUCTION
Because m-Learning is such a new field the research is still in a stage where different categories of
m-Learning pedagogy are being developed, identified, and researched. With this developmental stage in
mind, the very existence of m-Learning, not to mention its growing application, is directly tied to the growth
of mobile technology. This fact is why it is so important for researchers and practitioners to be familiar with
mobile technology applicable to m-Learning. It simply is not possible for someone to log onto a learning
management system (LMS) wirelessly from a personal digital assistant (PDA) if wireless networks don’t
exist or if PDAs do not support wireless connectivity [1].
2. THE MEANING OF MOBILE LEARNING
The term mobile learning (m-learning) refers to the use of mobile and handheld IT devices, such as
Personal Digital Assistants (PDAs), mobile telephones, laptops and tablet PC technologies, in teaching and
learning.
As computers and the internet become essential educational tools, the technologies become more
portable, affordable, effective and easy to use. This provides many opportunities for widening participation
and access to ICT, and in particular the internet. Mobile devices such as phones and PDAs are much more
reasonably priced than desktop computers, and therefore represent a less expensive method of accessing the
internet (though the cost of connection can be higher). The introduction of tablet PCs now allows mobile
internet access with equal, if not more, functionality than desktop computers [2].
M-Learning, or "mobile learning", has different meanings for different communities. Although
related to e-learning and distance education, it is distinct in its focus on learning across contexts and learning
with mobile devices. One definition of mobile learning is: Learning that happens across locations, or that
 ISSN: 2088-8708
IJECE Vol. 7, No. 5, October 2017 : 2833 – 2837
2834
takes advantage of learning opportunities offered by portable technologies. In other words, mobile learning
decreases limitation of learning location with the mobility of general portable devices.
The term covers: learning with portable technologies, where the focus is on the technology (which
could be in a fixed location, such as a classroom); learning across contexts, where the focus is on the mobility
of the learner, interacting with portable or fixed technology; and learning in a mobile society, with a focus on
how society and its institutions can accommodate and support the learning of an increasingly mobile
population that is not satisfied with existing learning methodologies.
M-learning is convenient, in the sense that it is accessible virtually from anywhere (class, taxi,
laundry room, bathroom …) which provides access to all the different learning materials available.
Moreover, it is collaborative; that is sharing is almost instantly among everyone using the same content,
which will in turn also lead to receiving instant feedback and tips. M-Learning also brings strong portability
by replacing books and notes with small RAMs, filled with tailored learning contents. In addition, this kind
of learning is engaging and fun. With this kind of learning, it is much easier to combine gaming and learning
for a more effective and entertaining experience [3].
 Access: How widely available is the wireless network that will distribute the mobile content?
 Richness: Do pages load quickly? Do animations play in a smooth and seamless manner? Does the
streaming media (media that is consumed—read, heard, viewed—while it is being delivered) flow at a
sufficiently rapid rate?
 Efficiency: How large is the client that will be required to make use of a particular media player? How
fast will the application load and play?
 Flexibility: Will the application be viewable on a variety of devices? Can content designed for use with
one kind of device or operating system be played on other devices with some expectation of comparable
quality?
 Security: Is the interactive mobile device protected from worms and viruses? Is the shared content
protected from being intercepted by unintended recipients?
 Reliability: Will content be displayed in a consistent manner, regardless of the browser, device, and
screen size?
 Interactivity: Does the application allow users to interact freely with the display and the content [4].
Through the use of mobile learning, user can access learning content without any borders so that it can
be accessed at any time so that it can be accessed at any
 time with interesting illustration [5].
3. MOBILE HARDWARE
Various types of derivative information have been increasing exponentially, based on mobile
devices and social networking sites, and the information technologies utilizing them have also been
developing rapidly. Technologies to classify and analyze such information are as important as data
generation [6].
Caudill said the first device that comes to mind when mobile hardware is discussed is the PDA.
These devices offer many of the features of a full-size laptop computer but in a package that fits in a pocket.
As discussed, mobility is a primary component of m-Learning hardware, and few devices offer the
combination of mobility and features that the PDA does.
From the start, the PDA experience lends itself to being ideal for the m-Learning environment.
Whether a Palm or PocketPC operating system, a PDA will start up almost instantly, as opposed to the boot
process that is required for a larger computer. This advantage by itself is a significant one; if a learner wants
to check e-mail or reply to a message board while in between appointments, the time spent booting up and
shutting down a traditional computer platform is a very real deterrent, the PDA interface eliminates that
wasted time.
Once the PDA is active, it provides a wide variety of applications that in the past were not available
on mobile devices. Andronico and colleagues 2003, investigate three areas of applications using PDAs in the
m-Learning environment:
 The use of PDA as an enhanced organizer, by uploading/downloading data with the central system in
order to align periodically or on demand the agenda of the user (teacher, student, or other actors of the
system) with all the academic appointments. This will imply the integration of the data schema of the
agenda software of the portable device with the data coming from the central system.
 The browsing of newsgroups managed by the central Learning management system (LMS) on the PDA
screen, in case the user has no keyboard attached to the portable device, or the full interaction with the
newsgroup in the other case.
IJECE ISSN: 2088-8708 
Mobile Learning Technologies (Khalil Alsaadat)
2835
 The browsing of the LMS web pages where it is possible to download the educational material and
consult it with specific viewers (at the moment those related with the Office suite and with Acrobat PDF
format [1].
In his study peters grouped his findings about manufacturers and softwares developers into the
following:
 First, producers of hardware and operating systems often minimise costs and maximise effect through
product development partnerships
 Second, demand from consumers and businesses is the influence on the type of product being developed,
with the common requests being: easier to use, smaller, faster, smarter, and greater security. This has
resulted in advancements such as multiple security layers, Bluetooth, car and business kits, hands free
and infrared/ data cables. When asked about the future applications or capabilities that are planned for
existing products, the response was: ‘smaller, faster, better, cheaper, and more wireless technology to
send bigger files faster.’
What percentage of mobile technologies are purchased for business purposes and what percentage is
purchased for consumer use? The following quote tells the story:
 There is such a cross-over between personal and business use we’re unable to tell them apart. Higher end
products (i.e., Bluetooth or wireless, products with extra security, or products containing enterprise
solutions) are marketed only to business clients, but the simplest phone can be used for business as well
as personal purposes
Much is made of the potential of m-Learning, but what is actually happening from a developer
perspective? The two following quotes illustrate the developers' insights:
 A flash-based mobile interface is now being produced for m-Learning, so that animated material can be
used on mobile phones; the technology is now moving quickly to respond to the increasing speed of m-
Learning uptake
 As an add-on to other modes of deliver, m-Learning will increase. But it won’t replace other forms of e-
education because screens are too small and hard to read, and if you make them bigger, the device isn’t
as mobile. m-Learning is most useful when it’s in a mobile, field environment [7].
Traxler turned our attention to some categories of mobile learning that are emerging, he listed the
following:
 Technology-driven mobile learning–Some specific technological innovation is deployed in an
academic setting to demonstrate technical feasibility and pedagogic possibility
 Miniature but portable e-Learning–Mobile, wireless, and handheld technologies are used to re-enact
approaches and solutions already used in 'conventional' e-Learning, perhaps porting some e-Learning
technology such as a Virtual Learning Environment (VLE) to these technologies or perhaps merely using
mobile technologies as flexible replacements for static desktop technologies
 Connected classroom learning–The same technologies are used in classroom settings to support
collaborative learning, perhaps connected to other classroom technologies such as interactive
whiteboards
 Informal, personalised, situated mobile learning–The same technologies are enhanced with additional
functionality, for example location-awareness or video-capture, and deployed to deliver educational
experiences that would otherwise be difficult or impossible
 Mobile training/performance support–The technologies are used to improve the productivity and
efficiency of mobile workers by delivering information and support just-in-time and in context for their
immediate priorities (for an early account, see Gayeski, 2002)
 Remote/rural/development mobile learning–The technologies are used to address environmental and
infrastructural challenges to delivering and supporting education where 'conventional' e-Learning
technologies would fail, often troubling accepted developmental or evolutionary paradigms
Mobile distance learning could fall into any of these categories (with the exception of the 'connected
classroom learning'); how it develops will depend in part on the affordances of any given situation. These
affordances might include:
 Infrastructure, meaning power supply, postal services, Internet connectivity, etc.
 Sparsity, giving rise to infrequent face-to-face contact, lack of technical support, etc.
 The wider policy agenda including lifelong learning, inclusion (of rural areas for example), assistivity,
participation, and access
 ISSN: 2088-8708
IJECE Vol. 7, No. 5, October 2017 : 2833 – 2837
2836
 Mobile distance learning within a framework of blended distance learning and the affordances of other
delivery and support mechanism [8].
4. MOBILE NETWORKING
Caudill noticed that the most prevalent and most widely recognized mobile networking technology
is the IEEE 802.11 specification, commonly called Wi-Fi. Wi-Fi works by using a series of access points,
which are transmitter/receiver stations that wireless devices can connect to via their own Wi-Fi networking
card. Initially seen as external cards that were used in a Personal Computer Memory Card International
Association (PCMCIA) slot on laptops, Wi-Fi networking devices are now being integrated into standard-
size PDAs and even smaller platforms such as mobile gaming devices. If a mobile device does not have a
built-in Wi-Fi card there are a wide variety of add-on cards available, some small enough to fit into the SD
slots on handheld devices. Thus, many devices not originally configured to access wireless networks can be
converted to do so.he aso said:
at 11 Megabits per second (Mbps), and 802.11g (g), which transmits at 54 Mbps. Both of these
common standards are interoperable, There are two widely used standards, 802.11b (b), which transmits
meaning that a g device can operate at a slower speed on a b network, and a b device can access a g network.
Most devices today that include built-in Wi-Fi connectivity are using either the g or b standard, as are most
publicly accessible Wi-Fi access points, which are referred to as hotspots [1].
5. DISCUSSION
The distance learning is an instruction system which has various and independent instruction
environment, customized lecture design, method and techniques. Distance learning has been improving from
letter learning to mobile learning [9].
Because of its high mobility and spontaneity, m-learning offers learners access to learning objects
and resources that are distributed around us. In the ‘anytime, anywhere, learning area. What really matters is
whether learners can access the right resources at the right time in the right place. Learners should be able to
interact with the learning objects both in the real world and in the virtual world. Apart from that, the ultimate
goal of m-learning is to enable mobile devices to offer individualized guidance and support during the
learning process, and replace the one-size-fits-all receptive style of learning. It enables students to walk out
of the classroom and actively explore their learning environment to gain more experience in collaboration
and problem solving[10].
Traxler argued that mobile education, however innovative, technically feasible, and pedagogically
sound, may have no chance of sustained, wide-scale institutional deployment in higher education in the
foreseeable future, at a distance or on site. This is because of the strategic factors at work within educational
institutions and providers. These strategic factors are different from those of technology and pedagogy. They
are the context and the environment for the technical and the pedagogic aspects. They include resources (that
is, finance and money but also human resources, physical estates, institutional reputation, intellectual
property, and expertise) and culture (that is, institutions as social organisations, their practices, values and
procedures, but also the expectations and standards of their staff, students and their wider communities,
including employers and professional bodies).
Implementing wireless and mobile education within higher education must address these social,
cultural, and organisational factors. They can be formal and explicit, or informal and tacit, and can vary
enormously across and within institutions. Within institutions, different disciplines have their own specific
cultures and concerns, often strongly influenced by professional practice in the 'outside world'–especially in
the case of part-time provision and distance learning. Because most work in mobile learning is still in the
pilot and/ or trial phase, any explorations of wider institutional issues are still tentative [11].
Peters in alsaadat asked Is the promise of mobile technologies as a trigger to generate learning
cultures realistic? And is m-Learning any more likely to increase interest in learning than any other form of
delivery? Articles about the link between mobile technologies and learning organisations appear to fall into
three categories:
1. A database focus that captures organisational knowledge
2. A human systems focus that allows synchronous communication and information sharing at the worksite
3. A learning development focus that suggests that learning about new technologies generates a more
general drive for learning
The database focus has, to a large degree, become the accepted wisdom in organisations that use
structured processes to collect, codify, and manage knowledge. Mobile technologies have the potential to
collect a greater range and percentage of data, through recording of activity on the device (and subsequent
IJECE ISSN: 2088-8708 
Mobile Learning Technologies (Khalil Alsaadat)
2837
analysis of the patterns of access to specific information or information sources) and through the reduction of
paper-based records as electronic systems replace paper in the field.
Peters thinks that the The capacity of mobile technology to deliver synchronous communication and
knowledge-sharing can provide benefits to human (or soft) systems. Evidence of these benefits has been
reported by Ragus 2004, who found that m-Learning encouraged simultaneous personal development, such
as networking and socialisation, outside of normal working groups–an unexpected, and positive result of the
m-Learning trials [12].
6. CONCLUSION
Mobile technology, both hardware and networking applications, is a necessary component for the
existence of m-Learning. As instructors and designers, practitioners of m-Learning need to be fluent in the
use of these technologies and cognizant of what technologies their learner population has access to.
Application of specific pedagogical theories is directly connected to the technologies in use in a m-Learning
system and as such, design of m-Learning environments demands a systems approach, where development
accounts for all aspects of the environment. As technology continues to improve and innovate the options
open to m-Learning will expand; the key is to focus on the fact that the goal of m-Learning is to facilitate
learning, no matter what form the delivery may take [1].
REFERENCES
[1] Caudil, Jason g, 2007. "The Growth of m Learning and the Growth of Mobile Computing,":paralle development
[2] Exellence gateway.org.uk
[3] Wikipedia (reference:http://www.grayharriman.com/mlearning.htm)
[4] Wagner ellen D.2005,"Enabling Mobile Learning," Educause review,V40,N3,pp40-53.
[5] Setiawan, Alexsander. Hanreas Handojo. Hadi, Renadra, "Indonisian Culture Learning Application Based on
Android," 2017, International Journal of Electrical and Computer Engineering, vol 7,No 1, 2017
[6] Jung Se Hoon. Chan Kim, Jong. Bo Sim Chun, "Prediction Data Processing Scheme Using on Artificial Network
and Data Clustering for Big Data, "International Journal of Electrical and Computer Engineering, Vol 6,No 1,2016.
[7] Peters, 2007. "M learning: Positioning Educators for a Mobile, Connected Future," The International Review of
Research in open and Distance Learning, vol 8, no 2.
[8] Traxler, 2007, "Defining, Discussing and Evaluating Mobile Learning: the Moving Finger Writes," The
International Review of Research in Open and Distance Learning.vol 8, no 2.
[9] Soykan, Emran,"The Review of Puplished Articles on Mobile Learning Area in Ebesco Data Base," Procedia Social
and Behavioral Science,Vol 182, 2015
[10] Shin, Ju Ling. Chun Chu, Hui, Hawang, Gwo Gen. Kinshuk, "An Investigation of Attitudes of Students and
Teachers About Participating in a Context Aware Ubiquitous Learning Activity," British Journal of Educational
Technology, vol 42 ,No 3,2011.
[11] Alsaadat, Khalil, "M Learning and College Education, "European Journal of Education Studies, Vol 3, Issue 5 ,
2017.
[12] Alsaadat, Khalil,"The Importance of m Learning in the Educational Arena, "European Journal of Open Education
and e Learning Studies, Vol 2, Issue 1 ,2017.

More Related Content

What's hot

Mobile Learning Africa (UNESCO)
Mobile Learning Africa (UNESCO)Mobile Learning Africa (UNESCO)
Mobile Learning Africa (UNESCO)Ilona Buchem
 
Horizon Report 2010 presentation
Horizon Report 2010 presentationHorizon Report 2010 presentation
Horizon Report 2010 presentationRob Peregoodoff
 
Exploring Sample Mobile Apps for English Language Learning, Abdellatif ZOUBAIR
Exploring Sample Mobile Apps for English Language  Learning, Abdellatif ZOUBAIRExploring Sample Mobile Apps for English Language  Learning, Abdellatif ZOUBAIR
Exploring Sample Mobile Apps for English Language Learning, Abdellatif ZOUBAIRSaadia Morcenet secretary
 
Mobile Learning Definitions
Mobile Learning DefinitionsMobile Learning Definitions
Mobile Learning DefinitionsBrad H
 
ICT in Practice Technology and Education Online Magazine Issue 8
ICT in Practice Technology and Education Online Magazine Issue 8ICT in Practice Technology and Education Online Magazine Issue 8
ICT in Practice Technology and Education Online Magazine Issue 8Yasemin Allsop
 
Virtual lecturer web based application system to discharge teachers roles in ...
Virtual lecturer web based application system to discharge teachers roles in ...Virtual lecturer web based application system to discharge teachers roles in ...
Virtual lecturer web based application system to discharge teachers roles in ...Yekini Nureni
 
Ict applications in school management and record keeping
Ict applications in school management and record keepingIct applications in school management and record keeping
Ict applications in school management and record keepingRex Mwamba
 
Information technology in education.
Information technology in education.Information technology in education.
Information technology in education.NA XXXXXXXXXXXXX
 
Mobile Learning & New Trends
Mobile Learning & New TrendsMobile Learning & New Trends
Mobile Learning & New TrendsEADTU
 
Sustainable Development for Higher Education Sector using Mobile Cloud with M...
Sustainable Development for Higher Education Sector using Mobile Cloud with M...Sustainable Development for Higher Education Sector using Mobile Cloud with M...
Sustainable Development for Higher Education Sector using Mobile Cloud with M...ijtsrd
 
Effectiveness of Information Communication Technologies for Education System
Effectiveness of Information Communication Technologies for Education SystemEffectiveness of Information Communication Technologies for Education System
Effectiveness of Information Communication Technologies for Education SystemIOSR Journals
 

What's hot (14)

Mobile Learning Africa (UNESCO)
Mobile Learning Africa (UNESCO)Mobile Learning Africa (UNESCO)
Mobile Learning Africa (UNESCO)
 
Horizon Report 2010 presentation
Horizon Report 2010 presentationHorizon Report 2010 presentation
Horizon Report 2010 presentation
 
Exploring Sample Mobile Apps for English Language Learning, Abdellatif ZOUBAIR
Exploring Sample Mobile Apps for English Language  Learning, Abdellatif ZOUBAIRExploring Sample Mobile Apps for English Language  Learning, Abdellatif ZOUBAIR
Exploring Sample Mobile Apps for English Language Learning, Abdellatif ZOUBAIR
 
Mobile Learning Definitions
Mobile Learning DefinitionsMobile Learning Definitions
Mobile Learning Definitions
 
Online assignment
Online assignmentOnline assignment
Online assignment
 
ICT in Practice Technology and Education Online Magazine Issue 8
ICT in Practice Technology and Education Online Magazine Issue 8ICT in Practice Technology and Education Online Magazine Issue 8
ICT in Practice Technology and Education Online Magazine Issue 8
 
Virtual lecturer web based application system to discharge teachers roles in ...
Virtual lecturer web based application system to discharge teachers roles in ...Virtual lecturer web based application system to discharge teachers roles in ...
Virtual lecturer web based application system to discharge teachers roles in ...
 
Why is mobile learning important  in education?
Why is mobile learning important  in education?Why is mobile learning important  in education?
Why is mobile learning important  in education?
 
Ict applications in school management and record keeping
Ict applications in school management and record keepingIct applications in school management and record keeping
Ict applications in school management and record keeping
 
Ijcatr04041023
Ijcatr04041023Ijcatr04041023
Ijcatr04041023
 
Information technology in education.
Information technology in education.Information technology in education.
Information technology in education.
 
Mobile Learning & New Trends
Mobile Learning & New TrendsMobile Learning & New Trends
Mobile Learning & New Trends
 
Sustainable Development for Higher Education Sector using Mobile Cloud with M...
Sustainable Development for Higher Education Sector using Mobile Cloud with M...Sustainable Development for Higher Education Sector using Mobile Cloud with M...
Sustainable Development for Higher Education Sector using Mobile Cloud with M...
 
Effectiveness of Information Communication Technologies for Education System
Effectiveness of Information Communication Technologies for Education SystemEffectiveness of Information Communication Technologies for Education System
Effectiveness of Information Communication Technologies for Education System
 

Similar to Mobile Learning Technologies

AN OVERVIEW OF CLOUD COMPUTING FOR E-LEARNING WITH ITS KEY BENEFITS
AN OVERVIEW OF CLOUD COMPUTING FOR E-LEARNING WITH ITS KEY BENEFITSAN OVERVIEW OF CLOUD COMPUTING FOR E-LEARNING WITH ITS KEY BENEFITS
AN OVERVIEW OF CLOUD COMPUTING FOR E-LEARNING WITH ITS KEY BENEFITSijistjournal
 
Adoption of Digital Learning Technology: An Empirical Analysis of the Determi...
Adoption of Digital Learning Technology: An Empirical Analysis of the Determi...Adoption of Digital Learning Technology: An Empirical Analysis of the Determi...
Adoption of Digital Learning Technology: An Empirical Analysis of the Determi...IJAEMSJORNAL
 
M-Learning
M-LearningM-Learning
M-Learningbutest
 
Multimedia based IoT-centric smart framework for eLearning paradigm Muhammad ...
Multimedia based IoT-centric smart framework for eLearning paradigm Muhammad ...Multimedia based IoT-centric smart framework for eLearning paradigm Muhammad ...
Multimedia based IoT-centric smart framework for eLearning paradigm Muhammad ...eraser Juan José Calderón
 
Mobile learning architecture using fog computing and adaptive data streaming
Mobile learning architecture using fog computing and adaptive data streamingMobile learning architecture using fog computing and adaptive data streaming
Mobile learning architecture using fog computing and adaptive data streamingTELKOMNIKA JOURNAL
 
An Exploratory Essay On Cloud Computing And Its Impact On The Use Of Informat...
An Exploratory Essay On Cloud Computing And Its Impact On The Use Of Informat...An Exploratory Essay On Cloud Computing And Its Impact On The Use Of Informat...
An Exploratory Essay On Cloud Computing And Its Impact On The Use Of Informat...Vicki Cristol
 
IRJET- Secure Architecture for Mobile Cloud based Learning
IRJET-  	  Secure Architecture for Mobile Cloud based LearningIRJET-  	  Secure Architecture for Mobile Cloud based Learning
IRJET- Secure Architecture for Mobile Cloud based LearningIRJET Journal
 
Introduction To M-Learning
Introduction To M-LearningIntroduction To M-Learning
Introduction To M-LearningKaren Brooks
 
Elucidating the impact of cloud computing in education sector Benefits and Ch...
Elucidating the impact of cloud computing in education sector Benefits and Ch...Elucidating the impact of cloud computing in education sector Benefits and Ch...
Elucidating the impact of cloud computing in education sector Benefits and Ch...Dr. Trilok Kumar Jain
 
Review Of A De Technology (Report)
Review Of A De Technology (Report)Review Of A De Technology (Report)
Review Of A De Technology (Report)u068704
 
Federated learning of deep networks using model averaging
Federated learning of deep networks using model averagingFederated learning of deep networks using model averaging
Federated learning of deep networks using model averagingNguyễn Nhương
 
EFFECT OF CLOUD BASED MOBILE LEARNING ON ENGINEERING EDUCATION
EFFECT OF CLOUD BASED MOBILE LEARNING ON ENGINEERING EDUCATIONEFFECT OF CLOUD BASED MOBILE LEARNING ON ENGINEERING EDUCATION
EFFECT OF CLOUD BASED MOBILE LEARNING ON ENGINEERING EDUCATIONIAEME Publication
 
Networking online assignment
Networking online assignmentNetworking online assignment
Networking online assignmentKavitha Dhanesh
 
Networking online assignment
Networking online assignmentNetworking online assignment
Networking online assignmentKavitha Dhanesh
 

Similar to Mobile Learning Technologies (20)

4213ijsea05
4213ijsea054213ijsea05
4213ijsea05
 
AN OVERVIEW OF CLOUD COMPUTING FOR E-LEARNING WITH ITS KEY BENEFITS
AN OVERVIEW OF CLOUD COMPUTING FOR E-LEARNING WITH ITS KEY BENEFITSAN OVERVIEW OF CLOUD COMPUTING FOR E-LEARNING WITH ITS KEY BENEFITS
AN OVERVIEW OF CLOUD COMPUTING FOR E-LEARNING WITH ITS KEY BENEFITS
 
Adoption of Digital Learning Technology: An Empirical Analysis of the Determi...
Adoption of Digital Learning Technology: An Empirical Analysis of the Determi...Adoption of Digital Learning Technology: An Empirical Analysis of the Determi...
Adoption of Digital Learning Technology: An Empirical Analysis of the Determi...
 
M-Learning
M-LearningM-Learning
M-Learning
 
Multimedia based IoT-centric smart framework for eLearning paradigm Muhammad ...
Multimedia based IoT-centric smart framework for eLearning paradigm Muhammad ...Multimedia based IoT-centric smart framework for eLearning paradigm Muhammad ...
Multimedia based IoT-centric smart framework for eLearning paradigm Muhammad ...
 
Mobile learning architecture using fog computing and adaptive data streaming
Mobile learning architecture using fog computing and adaptive data streamingMobile learning architecture using fog computing and adaptive data streaming
Mobile learning architecture using fog computing and adaptive data streaming
 
Online Assignment
Online AssignmentOnline Assignment
Online Assignment
 
Online assignment
Online assignmentOnline assignment
Online assignment
 
An Exploratory Essay On Cloud Computing And Its Impact On The Use Of Informat...
An Exploratory Essay On Cloud Computing And Its Impact On The Use Of Informat...An Exploratory Essay On Cloud Computing And Its Impact On The Use Of Informat...
An Exploratory Essay On Cloud Computing And Its Impact On The Use Of Informat...
 
IRJET- Secure Architecture for Mobile Cloud based Learning
IRJET-  	  Secure Architecture for Mobile Cloud based LearningIRJET-  	  Secure Architecture for Mobile Cloud based Learning
IRJET- Secure Architecture for Mobile Cloud based Learning
 
Introduction To M-Learning
Introduction To M-LearningIntroduction To M-Learning
Introduction To M-Learning
 
Elucidating the impact of cloud computing in education sector Benefits and Ch...
Elucidating the impact of cloud computing in education sector Benefits and Ch...Elucidating the impact of cloud computing in education sector Benefits and Ch...
Elucidating the impact of cloud computing in education sector Benefits and Ch...
 
Review Of A De Technology (Report)
Review Of A De Technology (Report)Review Of A De Technology (Report)
Review Of A De Technology (Report)
 
Federated learning of deep networks using model averaging
Federated learning of deep networks using model averagingFederated learning of deep networks using model averaging
Federated learning of deep networks using model averaging
 
M learning in education
M learning in educationM learning in education
M learning in education
 
EFFECT OF CLOUD BASED MOBILE LEARNING ON ENGINEERING EDUCATION
EFFECT OF CLOUD BASED MOBILE LEARNING ON ENGINEERING EDUCATIONEFFECT OF CLOUD BASED MOBILE LEARNING ON ENGINEERING EDUCATION
EFFECT OF CLOUD BASED MOBILE LEARNING ON ENGINEERING EDUCATION
 
Networking online assignment
Networking online assignmentNetworking online assignment
Networking online assignment
 
Mlearning
MlearningMlearning
Mlearning
 
Networking online assignment
Networking online assignmentNetworking online assignment
Networking online assignment
 
M Learning
M LearningM Learning
M Learning
 

More from IJECEIAES

Cloud service ranking with an integration of k-means algorithm and decision-m...
Cloud service ranking with an integration of k-means algorithm and decision-m...Cloud service ranking with an integration of k-means algorithm and decision-m...
Cloud service ranking with an integration of k-means algorithm and decision-m...IJECEIAES
 
Prediction of the risk of developing heart disease using logistic regression
Prediction of the risk of developing heart disease using logistic regressionPrediction of the risk of developing heart disease using logistic regression
Prediction of the risk of developing heart disease using logistic regressionIJECEIAES
 
Predictive analysis of terrorist activities in Thailand's Southern provinces:...
Predictive analysis of terrorist activities in Thailand's Southern provinces:...Predictive analysis of terrorist activities in Thailand's Southern provinces:...
Predictive analysis of terrorist activities in Thailand's Southern provinces:...IJECEIAES
 
Optimal model of vehicular ad-hoc network assisted by unmanned aerial vehicl...
Optimal model of vehicular ad-hoc network assisted by  unmanned aerial vehicl...Optimal model of vehicular ad-hoc network assisted by  unmanned aerial vehicl...
Optimal model of vehicular ad-hoc network assisted by unmanned aerial vehicl...IJECEIAES
 
Improving cyberbullying detection through multi-level machine learning
Improving cyberbullying detection through multi-level machine learningImproving cyberbullying detection through multi-level machine learning
Improving cyberbullying detection through multi-level machine learningIJECEIAES
 
Comparison of time series temperature prediction with autoregressive integrat...
Comparison of time series temperature prediction with autoregressive integrat...Comparison of time series temperature prediction with autoregressive integrat...
Comparison of time series temperature prediction with autoregressive integrat...IJECEIAES
 
Strengthening data integrity in academic document recording with blockchain a...
Strengthening data integrity in academic document recording with blockchain a...Strengthening data integrity in academic document recording with blockchain a...
Strengthening data integrity in academic document recording with blockchain a...IJECEIAES
 
Design of storage benchmark kit framework for supporting the file storage ret...
Design of storage benchmark kit framework for supporting the file storage ret...Design of storage benchmark kit framework for supporting the file storage ret...
Design of storage benchmark kit framework for supporting the file storage ret...IJECEIAES
 
Detection of diseases in rice leaf using convolutional neural network with tr...
Detection of diseases in rice leaf using convolutional neural network with tr...Detection of diseases in rice leaf using convolutional neural network with tr...
Detection of diseases in rice leaf using convolutional neural network with tr...IJECEIAES
 
A systematic review of in-memory database over multi-tenancy
A systematic review of in-memory database over multi-tenancyA systematic review of in-memory database over multi-tenancy
A systematic review of in-memory database over multi-tenancyIJECEIAES
 
Agriculture crop yield prediction using inertia based cat swarm optimization
Agriculture crop yield prediction using inertia based cat swarm optimizationAgriculture crop yield prediction using inertia based cat swarm optimization
Agriculture crop yield prediction using inertia based cat swarm optimizationIJECEIAES
 
Three layer hybrid learning to improve intrusion detection system performance
Three layer hybrid learning to improve intrusion detection system performanceThree layer hybrid learning to improve intrusion detection system performance
Three layer hybrid learning to improve intrusion detection system performanceIJECEIAES
 
Non-binary codes approach on the performance of short-packet full-duplex tran...
Non-binary codes approach on the performance of short-packet full-duplex tran...Non-binary codes approach on the performance of short-packet full-duplex tran...
Non-binary codes approach on the performance of short-packet full-duplex tran...IJECEIAES
 
Improved design and performance of the global rectenna system for wireless po...
Improved design and performance of the global rectenna system for wireless po...Improved design and performance of the global rectenna system for wireless po...
Improved design and performance of the global rectenna system for wireless po...IJECEIAES
 
Advanced hybrid algorithms for precise multipath channel estimation in next-g...
Advanced hybrid algorithms for precise multipath channel estimation in next-g...Advanced hybrid algorithms for precise multipath channel estimation in next-g...
Advanced hybrid algorithms for precise multipath channel estimation in next-g...IJECEIAES
 
Performance analysis of 2D optical code division multiple access through unde...
Performance analysis of 2D optical code division multiple access through unde...Performance analysis of 2D optical code division multiple access through unde...
Performance analysis of 2D optical code division multiple access through unde...IJECEIAES
 
On performance analysis of non-orthogonal multiple access downlink for cellul...
On performance analysis of non-orthogonal multiple access downlink for cellul...On performance analysis of non-orthogonal multiple access downlink for cellul...
On performance analysis of non-orthogonal multiple access downlink for cellul...IJECEIAES
 
Phase delay through slot-line beam switching microstrip patch array antenna d...
Phase delay through slot-line beam switching microstrip patch array antenna d...Phase delay through slot-line beam switching microstrip patch array antenna d...
Phase delay through slot-line beam switching microstrip patch array antenna d...IJECEIAES
 
A simple feed orthogonal excitation X-band dual circular polarized microstrip...
A simple feed orthogonal excitation X-band dual circular polarized microstrip...A simple feed orthogonal excitation X-band dual circular polarized microstrip...
A simple feed orthogonal excitation X-band dual circular polarized microstrip...IJECEIAES
 
A taxonomy on power optimization techniques for fifthgeneration heterogenous ...
A taxonomy on power optimization techniques for fifthgeneration heterogenous ...A taxonomy on power optimization techniques for fifthgeneration heterogenous ...
A taxonomy on power optimization techniques for fifthgeneration heterogenous ...IJECEIAES
 

More from IJECEIAES (20)

Cloud service ranking with an integration of k-means algorithm and decision-m...
Cloud service ranking with an integration of k-means algorithm and decision-m...Cloud service ranking with an integration of k-means algorithm and decision-m...
Cloud service ranking with an integration of k-means algorithm and decision-m...
 
Prediction of the risk of developing heart disease using logistic regression
Prediction of the risk of developing heart disease using logistic regressionPrediction of the risk of developing heart disease using logistic regression
Prediction of the risk of developing heart disease using logistic regression
 
Predictive analysis of terrorist activities in Thailand's Southern provinces:...
Predictive analysis of terrorist activities in Thailand's Southern provinces:...Predictive analysis of terrorist activities in Thailand's Southern provinces:...
Predictive analysis of terrorist activities in Thailand's Southern provinces:...
 
Optimal model of vehicular ad-hoc network assisted by unmanned aerial vehicl...
Optimal model of vehicular ad-hoc network assisted by  unmanned aerial vehicl...Optimal model of vehicular ad-hoc network assisted by  unmanned aerial vehicl...
Optimal model of vehicular ad-hoc network assisted by unmanned aerial vehicl...
 
Improving cyberbullying detection through multi-level machine learning
Improving cyberbullying detection through multi-level machine learningImproving cyberbullying detection through multi-level machine learning
Improving cyberbullying detection through multi-level machine learning
 
Comparison of time series temperature prediction with autoregressive integrat...
Comparison of time series temperature prediction with autoregressive integrat...Comparison of time series temperature prediction with autoregressive integrat...
Comparison of time series temperature prediction with autoregressive integrat...
 
Strengthening data integrity in academic document recording with blockchain a...
Strengthening data integrity in academic document recording with blockchain a...Strengthening data integrity in academic document recording with blockchain a...
Strengthening data integrity in academic document recording with blockchain a...
 
Design of storage benchmark kit framework for supporting the file storage ret...
Design of storage benchmark kit framework for supporting the file storage ret...Design of storage benchmark kit framework for supporting the file storage ret...
Design of storage benchmark kit framework for supporting the file storage ret...
 
Detection of diseases in rice leaf using convolutional neural network with tr...
Detection of diseases in rice leaf using convolutional neural network with tr...Detection of diseases in rice leaf using convolutional neural network with tr...
Detection of diseases in rice leaf using convolutional neural network with tr...
 
A systematic review of in-memory database over multi-tenancy
A systematic review of in-memory database over multi-tenancyA systematic review of in-memory database over multi-tenancy
A systematic review of in-memory database over multi-tenancy
 
Agriculture crop yield prediction using inertia based cat swarm optimization
Agriculture crop yield prediction using inertia based cat swarm optimizationAgriculture crop yield prediction using inertia based cat swarm optimization
Agriculture crop yield prediction using inertia based cat swarm optimization
 
Three layer hybrid learning to improve intrusion detection system performance
Three layer hybrid learning to improve intrusion detection system performanceThree layer hybrid learning to improve intrusion detection system performance
Three layer hybrid learning to improve intrusion detection system performance
 
Non-binary codes approach on the performance of short-packet full-duplex tran...
Non-binary codes approach on the performance of short-packet full-duplex tran...Non-binary codes approach on the performance of short-packet full-duplex tran...
Non-binary codes approach on the performance of short-packet full-duplex tran...
 
Improved design and performance of the global rectenna system for wireless po...
Improved design and performance of the global rectenna system for wireless po...Improved design and performance of the global rectenna system for wireless po...
Improved design and performance of the global rectenna system for wireless po...
 
Advanced hybrid algorithms for precise multipath channel estimation in next-g...
Advanced hybrid algorithms for precise multipath channel estimation in next-g...Advanced hybrid algorithms for precise multipath channel estimation in next-g...
Advanced hybrid algorithms for precise multipath channel estimation in next-g...
 
Performance analysis of 2D optical code division multiple access through unde...
Performance analysis of 2D optical code division multiple access through unde...Performance analysis of 2D optical code division multiple access through unde...
Performance analysis of 2D optical code division multiple access through unde...
 
On performance analysis of non-orthogonal multiple access downlink for cellul...
On performance analysis of non-orthogonal multiple access downlink for cellul...On performance analysis of non-orthogonal multiple access downlink for cellul...
On performance analysis of non-orthogonal multiple access downlink for cellul...
 
Phase delay through slot-line beam switching microstrip patch array antenna d...
Phase delay through slot-line beam switching microstrip patch array antenna d...Phase delay through slot-line beam switching microstrip patch array antenna d...
Phase delay through slot-line beam switching microstrip patch array antenna d...
 
A simple feed orthogonal excitation X-band dual circular polarized microstrip...
A simple feed orthogonal excitation X-band dual circular polarized microstrip...A simple feed orthogonal excitation X-band dual circular polarized microstrip...
A simple feed orthogonal excitation X-band dual circular polarized microstrip...
 
A taxonomy on power optimization techniques for fifthgeneration heterogenous ...
A taxonomy on power optimization techniques for fifthgeneration heterogenous ...A taxonomy on power optimization techniques for fifthgeneration heterogenous ...
A taxonomy on power optimization techniques for fifthgeneration heterogenous ...
 

Recently uploaded

(RIA) Call Girls Bhosari ( 7001035870 ) HI-Fi Pune Escorts Service
(RIA) Call Girls Bhosari ( 7001035870 ) HI-Fi Pune Escorts Service(RIA) Call Girls Bhosari ( 7001035870 ) HI-Fi Pune Escorts Service
(RIA) Call Girls Bhosari ( 7001035870 ) HI-Fi Pune Escorts Serviceranjana rawat
 
Software Development Life Cycle By Team Orange (Dept. of Pharmacy)
Software Development Life Cycle By  Team Orange (Dept. of Pharmacy)Software Development Life Cycle By  Team Orange (Dept. of Pharmacy)
Software Development Life Cycle By Team Orange (Dept. of Pharmacy)Suman Mia
 
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICSAPPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICSKurinjimalarL3
 
UNIT-III FMM. DIMENSIONAL ANALYSIS
UNIT-III FMM.        DIMENSIONAL ANALYSISUNIT-III FMM.        DIMENSIONAL ANALYSIS
UNIT-III FMM. DIMENSIONAL ANALYSISrknatarajan
 
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...Dr.Costas Sachpazis
 
High Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur EscortsHigh Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur EscortsCall Girls in Nagpur High Profile
 
Porous Ceramics seminar and technical writing
Porous Ceramics seminar and technical writingPorous Ceramics seminar and technical writing
Porous Ceramics seminar and technical writingrakeshbaidya232001
 
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130Suhani Kapoor
 
result management system report for college project
result management system report for college projectresult management system report for college project
result management system report for college projectTonystark477637
 
Introduction and different types of Ethernet.pptx
Introduction and different types of Ethernet.pptxIntroduction and different types of Ethernet.pptx
Introduction and different types of Ethernet.pptxupamatechverse
 
Java Programming :Event Handling(Types of Events)
Java Programming :Event Handling(Types of Events)Java Programming :Event Handling(Types of Events)
Java Programming :Event Handling(Types of Events)simmis5
 
UNIT - IV - Air Compressors and its Performance
UNIT - IV - Air Compressors and its PerformanceUNIT - IV - Air Compressors and its Performance
UNIT - IV - Air Compressors and its Performancesivaprakash250
 
SPICE PARK APR2024 ( 6,793 SPICE Models )
SPICE PARK APR2024 ( 6,793 SPICE Models )SPICE PARK APR2024 ( 6,793 SPICE Models )
SPICE PARK APR2024 ( 6,793 SPICE Models )Tsuyoshi Horigome
 
Call Girls Service Nashik Vaishnavi 7001305949 Independent Escort Service Nashik
Call Girls Service Nashik Vaishnavi 7001305949 Independent Escort Service NashikCall Girls Service Nashik Vaishnavi 7001305949 Independent Escort Service Nashik
Call Girls Service Nashik Vaishnavi 7001305949 Independent Escort Service NashikCall Girls in Nagpur High Profile
 
Call for Papers - Educational Administration: Theory and Practice, E-ISSN: 21...
Call for Papers - Educational Administration: Theory and Practice, E-ISSN: 21...Call for Papers - Educational Administration: Theory and Practice, E-ISSN: 21...
Call for Papers - Educational Administration: Theory and Practice, E-ISSN: 21...Christo Ananth
 
The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...
The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...
The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...ranjana rawat
 
Top Rated Pune Call Girls Budhwar Peth ⟟ 6297143586 ⟟ Call Me For Genuine Se...
Top Rated  Pune Call Girls Budhwar Peth ⟟ 6297143586 ⟟ Call Me For Genuine Se...Top Rated  Pune Call Girls Budhwar Peth ⟟ 6297143586 ⟟ Call Me For Genuine Se...
Top Rated Pune Call Girls Budhwar Peth ⟟ 6297143586 ⟟ Call Me For Genuine Se...Call Girls in Nagpur High Profile
 
(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...
(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...
(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...ranjana rawat
 
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur EscortsHigh Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escortsranjana rawat
 

Recently uploaded (20)

(RIA) Call Girls Bhosari ( 7001035870 ) HI-Fi Pune Escorts Service
(RIA) Call Girls Bhosari ( 7001035870 ) HI-Fi Pune Escorts Service(RIA) Call Girls Bhosari ( 7001035870 ) HI-Fi Pune Escorts Service
(RIA) Call Girls Bhosari ( 7001035870 ) HI-Fi Pune Escorts Service
 
Software Development Life Cycle By Team Orange (Dept. of Pharmacy)
Software Development Life Cycle By  Team Orange (Dept. of Pharmacy)Software Development Life Cycle By  Team Orange (Dept. of Pharmacy)
Software Development Life Cycle By Team Orange (Dept. of Pharmacy)
 
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICSAPPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
 
UNIT-III FMM. DIMENSIONAL ANALYSIS
UNIT-III FMM.        DIMENSIONAL ANALYSISUNIT-III FMM.        DIMENSIONAL ANALYSIS
UNIT-III FMM. DIMENSIONAL ANALYSIS
 
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
 
High Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur EscortsHigh Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur Escorts
 
Porous Ceramics seminar and technical writing
Porous Ceramics seminar and technical writingPorous Ceramics seminar and technical writing
Porous Ceramics seminar and technical writing
 
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
 
result management system report for college project
result management system report for college projectresult management system report for college project
result management system report for college project
 
Introduction and different types of Ethernet.pptx
Introduction and different types of Ethernet.pptxIntroduction and different types of Ethernet.pptx
Introduction and different types of Ethernet.pptx
 
Java Programming :Event Handling(Types of Events)
Java Programming :Event Handling(Types of Events)Java Programming :Event Handling(Types of Events)
Java Programming :Event Handling(Types of Events)
 
UNIT - IV - Air Compressors and its Performance
UNIT - IV - Air Compressors and its PerformanceUNIT - IV - Air Compressors and its Performance
UNIT - IV - Air Compressors and its Performance
 
SPICE PARK APR2024 ( 6,793 SPICE Models )
SPICE PARK APR2024 ( 6,793 SPICE Models )SPICE PARK APR2024 ( 6,793 SPICE Models )
SPICE PARK APR2024 ( 6,793 SPICE Models )
 
Water Industry Process Automation & Control Monthly - April 2024
Water Industry Process Automation & Control Monthly - April 2024Water Industry Process Automation & Control Monthly - April 2024
Water Industry Process Automation & Control Monthly - April 2024
 
Call Girls Service Nashik Vaishnavi 7001305949 Independent Escort Service Nashik
Call Girls Service Nashik Vaishnavi 7001305949 Independent Escort Service NashikCall Girls Service Nashik Vaishnavi 7001305949 Independent Escort Service Nashik
Call Girls Service Nashik Vaishnavi 7001305949 Independent Escort Service Nashik
 
Call for Papers - Educational Administration: Theory and Practice, E-ISSN: 21...
Call for Papers - Educational Administration: Theory and Practice, E-ISSN: 21...Call for Papers - Educational Administration: Theory and Practice, E-ISSN: 21...
Call for Papers - Educational Administration: Theory and Practice, E-ISSN: 21...
 
The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...
The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...
The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...
 
Top Rated Pune Call Girls Budhwar Peth ⟟ 6297143586 ⟟ Call Me For Genuine Se...
Top Rated  Pune Call Girls Budhwar Peth ⟟ 6297143586 ⟟ Call Me For Genuine Se...Top Rated  Pune Call Girls Budhwar Peth ⟟ 6297143586 ⟟ Call Me For Genuine Se...
Top Rated Pune Call Girls Budhwar Peth ⟟ 6297143586 ⟟ Call Me For Genuine Se...
 
(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...
(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...
(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...
 
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur EscortsHigh Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
 

Mobile Learning Technologies

  • 1. International Journal of Electrical and Computer Engineering (IJECE) Vol. 7, No. 5, October 2017, pp. 2833~2837 ISSN: 2088-8708, DOI: 10.11591/ijece.v7i5.pp2833-2837  2833 Journal homepage: http://iaesjournal.com/online/index.php/IJECE Mobile Learning Technologies Khalil Alsaadat Department of educational policies, college of education, King Saud University, Riyadh, Saudi Arabia Article Info ABSTRACT Article history: Received Sep 3, 2016 Revised Jun 1, 2017 Accepted Sept 11, 2017 Technological development have altered the way we communicate, learn, think, share, and spread information. Mobile technologies are those that make use of wireless technologies to gain some sort of data. As mobile connectedness continues to spread across the world, the value of employing mobile technologies in the arena of learning and teaching seems to be both self-evident and unavoidable The fast deployment of mobile devices and wireless networks in university campuses makes higher education a good environment to integrate learners-centered m-learning. This paper discusses mobile learning technologies that are being used for educational purposes and the effect they have on teaching and learning methods. Keywords: Mobile learning Technology Copyright © 2017 Institute of Advanced Engineering and Science. All rights reserved. Corresponding Author: Khalil Alsaadat, Department of educational policies, college of education, King Saud University, Riyadh, Saudi Arabia. Email: alsaadat@gmail.com 1. INTRODUCTION Because m-Learning is such a new field the research is still in a stage where different categories of m-Learning pedagogy are being developed, identified, and researched. With this developmental stage in mind, the very existence of m-Learning, not to mention its growing application, is directly tied to the growth of mobile technology. This fact is why it is so important for researchers and practitioners to be familiar with mobile technology applicable to m-Learning. It simply is not possible for someone to log onto a learning management system (LMS) wirelessly from a personal digital assistant (PDA) if wireless networks don’t exist or if PDAs do not support wireless connectivity [1]. 2. THE MEANING OF MOBILE LEARNING The term mobile learning (m-learning) refers to the use of mobile and handheld IT devices, such as Personal Digital Assistants (PDAs), mobile telephones, laptops and tablet PC technologies, in teaching and learning. As computers and the internet become essential educational tools, the technologies become more portable, affordable, effective and easy to use. This provides many opportunities for widening participation and access to ICT, and in particular the internet. Mobile devices such as phones and PDAs are much more reasonably priced than desktop computers, and therefore represent a less expensive method of accessing the internet (though the cost of connection can be higher). The introduction of tablet PCs now allows mobile internet access with equal, if not more, functionality than desktop computers [2]. M-Learning, or "mobile learning", has different meanings for different communities. Although related to e-learning and distance education, it is distinct in its focus on learning across contexts and learning with mobile devices. One definition of mobile learning is: Learning that happens across locations, or that
  • 2.  ISSN: 2088-8708 IJECE Vol. 7, No. 5, October 2017 : 2833 – 2837 2834 takes advantage of learning opportunities offered by portable technologies. In other words, mobile learning decreases limitation of learning location with the mobility of general portable devices. The term covers: learning with portable technologies, where the focus is on the technology (which could be in a fixed location, such as a classroom); learning across contexts, where the focus is on the mobility of the learner, interacting with portable or fixed technology; and learning in a mobile society, with a focus on how society and its institutions can accommodate and support the learning of an increasingly mobile population that is not satisfied with existing learning methodologies. M-learning is convenient, in the sense that it is accessible virtually from anywhere (class, taxi, laundry room, bathroom …) which provides access to all the different learning materials available. Moreover, it is collaborative; that is sharing is almost instantly among everyone using the same content, which will in turn also lead to receiving instant feedback and tips. M-Learning also brings strong portability by replacing books and notes with small RAMs, filled with tailored learning contents. In addition, this kind of learning is engaging and fun. With this kind of learning, it is much easier to combine gaming and learning for a more effective and entertaining experience [3].  Access: How widely available is the wireless network that will distribute the mobile content?  Richness: Do pages load quickly? Do animations play in a smooth and seamless manner? Does the streaming media (media that is consumed—read, heard, viewed—while it is being delivered) flow at a sufficiently rapid rate?  Efficiency: How large is the client that will be required to make use of a particular media player? How fast will the application load and play?  Flexibility: Will the application be viewable on a variety of devices? Can content designed for use with one kind of device or operating system be played on other devices with some expectation of comparable quality?  Security: Is the interactive mobile device protected from worms and viruses? Is the shared content protected from being intercepted by unintended recipients?  Reliability: Will content be displayed in a consistent manner, regardless of the browser, device, and screen size?  Interactivity: Does the application allow users to interact freely with the display and the content [4]. Through the use of mobile learning, user can access learning content without any borders so that it can be accessed at any time so that it can be accessed at any  time with interesting illustration [5]. 3. MOBILE HARDWARE Various types of derivative information have been increasing exponentially, based on mobile devices and social networking sites, and the information technologies utilizing them have also been developing rapidly. Technologies to classify and analyze such information are as important as data generation [6]. Caudill said the first device that comes to mind when mobile hardware is discussed is the PDA. These devices offer many of the features of a full-size laptop computer but in a package that fits in a pocket. As discussed, mobility is a primary component of m-Learning hardware, and few devices offer the combination of mobility and features that the PDA does. From the start, the PDA experience lends itself to being ideal for the m-Learning environment. Whether a Palm or PocketPC operating system, a PDA will start up almost instantly, as opposed to the boot process that is required for a larger computer. This advantage by itself is a significant one; if a learner wants to check e-mail or reply to a message board while in between appointments, the time spent booting up and shutting down a traditional computer platform is a very real deterrent, the PDA interface eliminates that wasted time. Once the PDA is active, it provides a wide variety of applications that in the past were not available on mobile devices. Andronico and colleagues 2003, investigate three areas of applications using PDAs in the m-Learning environment:  The use of PDA as an enhanced organizer, by uploading/downloading data with the central system in order to align periodically or on demand the agenda of the user (teacher, student, or other actors of the system) with all the academic appointments. This will imply the integration of the data schema of the agenda software of the portable device with the data coming from the central system.  The browsing of newsgroups managed by the central Learning management system (LMS) on the PDA screen, in case the user has no keyboard attached to the portable device, or the full interaction with the newsgroup in the other case.
  • 3. IJECE ISSN: 2088-8708  Mobile Learning Technologies (Khalil Alsaadat) 2835  The browsing of the LMS web pages where it is possible to download the educational material and consult it with specific viewers (at the moment those related with the Office suite and with Acrobat PDF format [1]. In his study peters grouped his findings about manufacturers and softwares developers into the following:  First, producers of hardware and operating systems often minimise costs and maximise effect through product development partnerships  Second, demand from consumers and businesses is the influence on the type of product being developed, with the common requests being: easier to use, smaller, faster, smarter, and greater security. This has resulted in advancements such as multiple security layers, Bluetooth, car and business kits, hands free and infrared/ data cables. When asked about the future applications or capabilities that are planned for existing products, the response was: ‘smaller, faster, better, cheaper, and more wireless technology to send bigger files faster.’ What percentage of mobile technologies are purchased for business purposes and what percentage is purchased for consumer use? The following quote tells the story:  There is such a cross-over between personal and business use we’re unable to tell them apart. Higher end products (i.e., Bluetooth or wireless, products with extra security, or products containing enterprise solutions) are marketed only to business clients, but the simplest phone can be used for business as well as personal purposes Much is made of the potential of m-Learning, but what is actually happening from a developer perspective? The two following quotes illustrate the developers' insights:  A flash-based mobile interface is now being produced for m-Learning, so that animated material can be used on mobile phones; the technology is now moving quickly to respond to the increasing speed of m- Learning uptake  As an add-on to other modes of deliver, m-Learning will increase. But it won’t replace other forms of e- education because screens are too small and hard to read, and if you make them bigger, the device isn’t as mobile. m-Learning is most useful when it’s in a mobile, field environment [7]. Traxler turned our attention to some categories of mobile learning that are emerging, he listed the following:  Technology-driven mobile learning–Some specific technological innovation is deployed in an academic setting to demonstrate technical feasibility and pedagogic possibility  Miniature but portable e-Learning–Mobile, wireless, and handheld technologies are used to re-enact approaches and solutions already used in 'conventional' e-Learning, perhaps porting some e-Learning technology such as a Virtual Learning Environment (VLE) to these technologies or perhaps merely using mobile technologies as flexible replacements for static desktop technologies  Connected classroom learning–The same technologies are used in classroom settings to support collaborative learning, perhaps connected to other classroom technologies such as interactive whiteboards  Informal, personalised, situated mobile learning–The same technologies are enhanced with additional functionality, for example location-awareness or video-capture, and deployed to deliver educational experiences that would otherwise be difficult or impossible  Mobile training/performance support–The technologies are used to improve the productivity and efficiency of mobile workers by delivering information and support just-in-time and in context for their immediate priorities (for an early account, see Gayeski, 2002)  Remote/rural/development mobile learning–The technologies are used to address environmental and infrastructural challenges to delivering and supporting education where 'conventional' e-Learning technologies would fail, often troubling accepted developmental or evolutionary paradigms Mobile distance learning could fall into any of these categories (with the exception of the 'connected classroom learning'); how it develops will depend in part on the affordances of any given situation. These affordances might include:  Infrastructure, meaning power supply, postal services, Internet connectivity, etc.  Sparsity, giving rise to infrequent face-to-face contact, lack of technical support, etc.  The wider policy agenda including lifelong learning, inclusion (of rural areas for example), assistivity, participation, and access
  • 4.  ISSN: 2088-8708 IJECE Vol. 7, No. 5, October 2017 : 2833 – 2837 2836  Mobile distance learning within a framework of blended distance learning and the affordances of other delivery and support mechanism [8]. 4. MOBILE NETWORKING Caudill noticed that the most prevalent and most widely recognized mobile networking technology is the IEEE 802.11 specification, commonly called Wi-Fi. Wi-Fi works by using a series of access points, which are transmitter/receiver stations that wireless devices can connect to via their own Wi-Fi networking card. Initially seen as external cards that were used in a Personal Computer Memory Card International Association (PCMCIA) slot on laptops, Wi-Fi networking devices are now being integrated into standard- size PDAs and even smaller platforms such as mobile gaming devices. If a mobile device does not have a built-in Wi-Fi card there are a wide variety of add-on cards available, some small enough to fit into the SD slots on handheld devices. Thus, many devices not originally configured to access wireless networks can be converted to do so.he aso said: at 11 Megabits per second (Mbps), and 802.11g (g), which transmits at 54 Mbps. Both of these common standards are interoperable, There are two widely used standards, 802.11b (b), which transmits meaning that a g device can operate at a slower speed on a b network, and a b device can access a g network. Most devices today that include built-in Wi-Fi connectivity are using either the g or b standard, as are most publicly accessible Wi-Fi access points, which are referred to as hotspots [1]. 5. DISCUSSION The distance learning is an instruction system which has various and independent instruction environment, customized lecture design, method and techniques. Distance learning has been improving from letter learning to mobile learning [9]. Because of its high mobility and spontaneity, m-learning offers learners access to learning objects and resources that are distributed around us. In the ‘anytime, anywhere, learning area. What really matters is whether learners can access the right resources at the right time in the right place. Learners should be able to interact with the learning objects both in the real world and in the virtual world. Apart from that, the ultimate goal of m-learning is to enable mobile devices to offer individualized guidance and support during the learning process, and replace the one-size-fits-all receptive style of learning. It enables students to walk out of the classroom and actively explore their learning environment to gain more experience in collaboration and problem solving[10]. Traxler argued that mobile education, however innovative, technically feasible, and pedagogically sound, may have no chance of sustained, wide-scale institutional deployment in higher education in the foreseeable future, at a distance or on site. This is because of the strategic factors at work within educational institutions and providers. These strategic factors are different from those of technology and pedagogy. They are the context and the environment for the technical and the pedagogic aspects. They include resources (that is, finance and money but also human resources, physical estates, institutional reputation, intellectual property, and expertise) and culture (that is, institutions as social organisations, their practices, values and procedures, but also the expectations and standards of their staff, students and their wider communities, including employers and professional bodies). Implementing wireless and mobile education within higher education must address these social, cultural, and organisational factors. They can be formal and explicit, or informal and tacit, and can vary enormously across and within institutions. Within institutions, different disciplines have their own specific cultures and concerns, often strongly influenced by professional practice in the 'outside world'–especially in the case of part-time provision and distance learning. Because most work in mobile learning is still in the pilot and/ or trial phase, any explorations of wider institutional issues are still tentative [11]. Peters in alsaadat asked Is the promise of mobile technologies as a trigger to generate learning cultures realistic? And is m-Learning any more likely to increase interest in learning than any other form of delivery? Articles about the link between mobile technologies and learning organisations appear to fall into three categories: 1. A database focus that captures organisational knowledge 2. A human systems focus that allows synchronous communication and information sharing at the worksite 3. A learning development focus that suggests that learning about new technologies generates a more general drive for learning The database focus has, to a large degree, become the accepted wisdom in organisations that use structured processes to collect, codify, and manage knowledge. Mobile technologies have the potential to collect a greater range and percentage of data, through recording of activity on the device (and subsequent
  • 5. IJECE ISSN: 2088-8708  Mobile Learning Technologies (Khalil Alsaadat) 2837 analysis of the patterns of access to specific information or information sources) and through the reduction of paper-based records as electronic systems replace paper in the field. Peters thinks that the The capacity of mobile technology to deliver synchronous communication and knowledge-sharing can provide benefits to human (or soft) systems. Evidence of these benefits has been reported by Ragus 2004, who found that m-Learning encouraged simultaneous personal development, such as networking and socialisation, outside of normal working groups–an unexpected, and positive result of the m-Learning trials [12]. 6. CONCLUSION Mobile technology, both hardware and networking applications, is a necessary component for the existence of m-Learning. As instructors and designers, practitioners of m-Learning need to be fluent in the use of these technologies and cognizant of what technologies their learner population has access to. Application of specific pedagogical theories is directly connected to the technologies in use in a m-Learning system and as such, design of m-Learning environments demands a systems approach, where development accounts for all aspects of the environment. As technology continues to improve and innovate the options open to m-Learning will expand; the key is to focus on the fact that the goal of m-Learning is to facilitate learning, no matter what form the delivery may take [1]. REFERENCES [1] Caudil, Jason g, 2007. "The Growth of m Learning and the Growth of Mobile Computing,":paralle development [2] Exellence gateway.org.uk [3] Wikipedia (reference:http://www.grayharriman.com/mlearning.htm) [4] Wagner ellen D.2005,"Enabling Mobile Learning," Educause review,V40,N3,pp40-53. [5] Setiawan, Alexsander. Hanreas Handojo. Hadi, Renadra, "Indonisian Culture Learning Application Based on Android," 2017, International Journal of Electrical and Computer Engineering, vol 7,No 1, 2017 [6] Jung Se Hoon. Chan Kim, Jong. Bo Sim Chun, "Prediction Data Processing Scheme Using on Artificial Network and Data Clustering for Big Data, "International Journal of Electrical and Computer Engineering, Vol 6,No 1,2016. [7] Peters, 2007. "M learning: Positioning Educators for a Mobile, Connected Future," The International Review of Research in open and Distance Learning, vol 8, no 2. [8] Traxler, 2007, "Defining, Discussing and Evaluating Mobile Learning: the Moving Finger Writes," The International Review of Research in Open and Distance Learning.vol 8, no 2. [9] Soykan, Emran,"The Review of Puplished Articles on Mobile Learning Area in Ebesco Data Base," Procedia Social and Behavioral Science,Vol 182, 2015 [10] Shin, Ju Ling. Chun Chu, Hui, Hawang, Gwo Gen. Kinshuk, "An Investigation of Attitudes of Students and Teachers About Participating in a Context Aware Ubiquitous Learning Activity," British Journal of Educational Technology, vol 42 ,No 3,2011. [11] Alsaadat, Khalil, "M Learning and College Education, "European Journal of Education Studies, Vol 3, Issue 5 , 2017. [12] Alsaadat, Khalil,"The Importance of m Learning in the Educational Arena, "European Journal of Open Education and e Learning Studies, Vol 2, Issue 1 ,2017.