Mobile Learning

2007 ◽  
pp. 525-527 ◽  
Author(s):  
D. Parsons
Keyword(s):  
Wireless Networks ◽  
Mobile Devices ◽  
Mobile Learning ◽  
Mobile Device ◽  
Ubiquitous Learning

Mobile learning (variously shortened to M-Learning, M-learning, m-learning, mlearning, M Learning, or mLearning!) describes any form of education or training that is delivered using some kind of mobile device. As the power and sophistication of mobile devices increases, and wireless networks become faster and more ubiquitous, learning with a mobile device will become an integral part of the general spectrum of technology-supported learning. Furthermore, the special characteristics of mobile learning, including ubiquity, convenience, localization, and personalization, give it unique qualities that help it stand out from other forms of learning.

Mobile Learning in the Era of IoT

2020 ◽  
pp. 252-280
Author(s):  
Koralia Papadokostaki ◽  
Spyros Panagiotakis ◽  
Athanasios Malamos ◽  
Kostas Vassilakis
Keyword(s):  
Early Childhood ◽  
Mobile Devices ◽  
Mobile Learning ◽  
Adaptive Learning ◽  
The Other ◽  
Ubiquitous Learning ◽  
Educational Content ◽  
E Learning ◽  
Future Of Education ◽  
Early Childhood Learning

Teaching is always affected by the advent of technology. Nowadays, mobile devices can offer an air of innovation in classrooms and multiple benefits in learning. On the other hand, IoT is expanding rapidly and promises to provide education with new dynamics: sensors and beacons may contribute to pervasive provision of educational content to students, whereas wearables can track the students' interaction with educational objects. As a result, learning is changing and may happen anywhere, anytime, and with any means. This evolution, described under the term Ubiquitous learning, promises to be the future of education for all ages and needs. This chapter presents the transformation of learning from traditional to e-learning, mobile learning, and Ubiquitous learning, and discusses the features and applications of the latter. Furthermore, authors describe the Experience API specification and investigate how it can be used to implement adaptive learning applications and make Ubiquitous learning a reality not only in typical but also in Early Childhood learning.

scholarly journals The SAMR Model as a Framework for Evaluating mLearning

2014 ◽  
Vol 18 (2) ◽  
Author(s):  
Danae Romrell ◽  
Lisa C. Kidder ◽  
Emma Wood
Keyword(s):  
Mobile Devices ◽  
Mobile Learning ◽  
Mobile Device ◽  
Recent Literature ◽  
Samr Model

As mobile devices become more prominent in the lives of students, the use of mobile devices has the potential to transform learning. Mobile learning, or mLearning, is defined as learning that is personalized, situated, and connected through the use of a mobile device. As mLearning activities are developed, there is a need for a framework within which mLearning activities can be evaluated. The SAMR Model (Puentadura, 2012) provides such a framework. This paper reviews recent literature on mLearning and provides examples of activities that fall within each of the four classifications of the SAMR Model: substitution, augmentation, modification, and redefinition.

A 2D Barcode Validation System for Mobile Commerce

2011 ◽  
Vol 2 (2) ◽  
pp. 1-19
Author(s):  
David Kuo ◽  
Daniel Wong ◽  
Jerry Gao ◽  
Lee Chang
Keyword(s):  
Wireless Networks ◽  
Supply Chain ◽  
Electronic Commerce ◽  
Mobile Devices ◽  
Mobile Device ◽  
Mobile Commerce ◽  
Mobile Technologies ◽  
Data Matrix ◽  
2D Barcode

The wide deployment of wireless networks and mobile technologies and the significant increase in the number of mobile device users has created a very strong demand for emerging mobile commerce applications and services. Barcode-based identification and validation solutions are considered an important part of electronic commerce systems, particularly in electronic supply chain systems. This paper reports a mobile-based 2D barcode validation system as part of mobile commerce systems. This barcode-based validation solution is developed based on the Data Matrix 2D-Barcode standard to support barcode-based validation in mobile commerce systems on mobile devices. The paper demonstrates its application by building a mobile movie ticketing system.

A 2D Barcode Validation System for Mobile Commerce

2013 ◽  
pp. 1-19
Author(s):  
David Kuo ◽  
Daniel Wong ◽  
Jerry Gao ◽  
Lee Chang
Keyword(s):  
Wireless Networks ◽  
Supply Chain ◽  
Electronic Commerce ◽  
Mobile Devices ◽  
Mobile Device ◽  
Mobile Commerce ◽  
Mobile Technologies ◽  
Data Matrix ◽  
2D Barcode

The wide deployment of wireless networks and mobile technologies and the significant increase in the number of mobile device users has created a very strong demand for emerging mobile commerce applications and services. Barcode-based identification and validation solutions are considered an important part of electronic commerce systems, particularly in electronic supply chain systems. This paper reports a mobile-based 2D barcode validation system as part of mobile commerce systems. This barcode-based validation solution is developed based on the Data Matrix 2D-Barcode standard to support barcode-based validation in mobile commerce systems on mobile devices. The paper demonstrates its application by building a mobile movie ticketing system.

Mobile Technology and Student Learning

2014 ◽  
pp. 32-41
Author(s):  
Pamela Pollara ◽  
Kelly Kee Broussard
Keyword(s):  
Systematic Review ◽  
Student Learning ◽  
Mobile Devices ◽  
Mobile Learning ◽  
Mobile Technology ◽  
Mobile Device ◽  
Student Learning Outcomes ◽  
Future Research ◽  
Research And Practice ◽  
Learning Research

As mobile devices become ubiquitous, it is necessary to analyze if and how these devices can be used for learning. This systematic review is part of a larger review that analyzed 21 mobile learning research studies published from 2005-present. Eleven studies that focused specifically on student learning outcomes and processes are summarized in this review in order to better understand the direction of mobile learning in mainstream education. Overall, studies were found to be positive and indicated several benefits of using mobile devices for learning including an increase in achievement, productivity, engagement, and motivation. This paper also highlights recommendations for future research and practice in the field of mobile learning, specifically focusing on the way personal mobile device ownership may influence learning both inside and outside the classroom.

Recognizing Value of Mobile Device for Learning

2015 ◽  
pp. 768-784
Author(s):  
Young Park ◽  
YongJu Jung
Keyword(s):  
Learning Environment ◽  
Mobile Devices ◽  
Mobile Learning ◽  
Mobile Device ◽  
Incidental Learning ◽  
Learning Activities ◽  
Learning Tool ◽  
Factors Influencing ◽  
Initial Learning ◽  
And Behavior

This study defines a mobile device as a contemporary learning tool and learning environment and focuses on the factors' influencing on users' perceptions of mobile learning and the characteristics of informal learning available for a use of mobile device for learning. The major findings are the following: First, the longer participants are engaged with mobile device, the more they will view that mobile device as valuable for learning. Next, whoever defines knowledge in a broader sense expects to use mobile devices longer time and in turn see the value of that device for learning more positively. Users' initial learning-related perception seems to influence their recognition and behavior toward mobile learning. Lastly, participants' major learning activities are self-directed while incidental learning is also meaningfully recognized. Participants' recognition of incidental learning can predict one's recognition of the value of mobile devices for learning.

scholarly journals The Potential of Indonesia in the Utilization of Mobile Learning in Vocational High School

2019 ◽  
Author(s):  
Sirwan ◽  
Nurkhamid ◽  
Ridwan Daud Mahande
Keyword(s):  
Mobile Devices ◽  
Mobile Learning ◽  
Mobile Device ◽  
Sampling Technique ◽  
Survey Method ◽  
Vocational Schools ◽  
Vocational High School ◽  
South Sulawesi ◽  
Network Engineering ◽  
Survey Results

This study aimed to reveal and know the potential use of mobile learning on the competency test of computer and network engineering vocational schools. The method used in this research was survey method. The Data was collected from August 2017 until December 2017. The research sites were in three vocational schools, SMK Negeri 8 Jeneponto, South Sulawesi, SMK Telkom Makassar, South Sulawesi, and SMK Negeri 1 Depok Sleman, Yogyakarta. The subjects of this study were class XII Computer and Network Engineering with the number of respondents were 120 students. The instrument used to collect data was a questionnaire enclosed. Data obtained used stratified random sampling technique descriptively and statistically analyzed using SPSS. The survey results showed the aspects of mobile device ownership were 100% of the 120 respondents had mobile device, 0% who did not have a mobile device. The average type of mobile devices owned by students was IPhone at around 41.7%, Oppo 32.5%, Advan 10% and Samsung 5%. While from the aspect of the use of mobile devices from 120 respondents showed that the average student accessed social media whatsapp was about 50.8%, Facebook 28.3%, Instagram 8.3%, Line 7.5% and educational application 4.2%.

scholarly journals M-LEARNING

2021 ◽  
pp. 422-437
Author(s):  
Atul Patel ◽  
Yogesh Parekh
Keyword(s):  
Mobile Devices ◽  
Mobile Learning ◽  
Mobile Device ◽  
Quantitative Data ◽  
Online Survey ◽  
Academic Library ◽  
Library Services ◽  
Library Users ◽  
Learning Research

This paper aims to provide quantitative data on students’ of Gujarat University Library for the Mobile learning to regard as the benefit to academic of mobile library services to library users. The M-learning research included an online survey through Google form that involved 80 participants. In addition, the paper provides data for libraries to establish the value of developing their own mobile learning and services. It also demonstrates the propagation of mobile device usage within the library and shows which services students would find most useful in Mlearning. The paper provides coming into a rapidly moving area of technology as confirmed through the research. The increase use of mobile devices among students is vital to acknowledge. The role of the academic library is to hug changing student behaviour by provide services optimised for mobile devices.

Recognizing Value of Mobile Device for Learning

2014 ◽  
Vol 4 (3) ◽  
pp. 66-81 ◽  
Author(s):  
Young Park ◽  
YongJu Jung
Keyword(s):  
Learning Environment ◽  
Informal Learning ◽  
Mobile Devices ◽  
Mobile Learning ◽  
Mobile Device ◽  
Incidental Learning ◽  
Learning Activities ◽  
Factors Influencing ◽  
Initial Learning ◽  
And Behavior

This study defines a mobile device as a contemporary learning tool and learning environment and focuses on the factors' influencing on users' perceptions of mobile learning and the characteristics of informal learning available for a use of mobile device for learning. The major findings are the following: First, the longer participants are engaged with mobile device, the more they will view that mobile device as valuable for learning. Next, whoever defines knowledge in a broader sense expects to use mobile devices longer time and in turn see the value of that device for learning more positively. Users' initial learning-related perception seems to influence their recognition and behavior toward mobile learning. Lastly, participants' major learning activities are self-directed while incidental learning is also meaningfully recognized. Participants' recognition of incidental learning can predict one's recognition of the value of mobile devices for learning.

Mobile Learning

2012 ◽  
pp. 311-326 ◽  
Author(s):  
Andreea Molnar ◽  
Cristina Hava Muntean
Keyword(s):  
Wireless Networks ◽  
Mobile Devices ◽  
Mobile Learning ◽  
Learning Experience ◽  
Content Delivery ◽  
Multimedia Content ◽  
Educational Content ◽  
Economic Behaviour ◽  
The Moment ◽  
The Cost

Today, mobile devices have become an integral part of their possessor’s life. Learning using mobile devices has the advantage of receiving educational content at the moment when it is actually needed, or when the learner feels like s/he is able to study. Moreover, mobile devices used in education can augment the learning experience by delivering further information to the learner, depending on the learner’s context. However, there are still challenges to overcome in order to achieve a widespread adoption of mobile learning. One of these is the high cost of delivering educational content over wireless networks, especially when multimedia content is transmitted. This research proposes a solution that predicts the learner’s economic behaviour and takes it into account when delivering educational multimedia content. A mechanism for reducing the cost of the educational content delivery over wireless networks is also presented.

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