e-LM: A Sensing Application for Learning Monitoring Using Mobile Computing
Article No.: 1, Pages 1 - 6
Abstract
In an era characterized by unprecedented levels of digital human communication, the educational process at a university campus lacks proper tools for cooperation between instructors and students. On the other hand, students may not always know how to maximize their learning outcomes and avoid common pitfalls. From our experience with the campus environment, we propose a platform design that offers a solution for those two issues. We believe that the most effective implementation of our system must rely on mobile computing technologies in order to ensure ease-of-use and accessibility to the system. Our ultimate goal is to help both parties (instructors and students) maximize their goals while making use of technologies that are currently available. The proposed concept is a mobile application that relies on a predictive mechanism in order to direct the users towards achieving their goals.
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Index Terms
- e-LM: A Sensing Application for Learning Monitoring Using Mobile Computing
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October 2017
203 pages
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- SIGAPP: ACM Special Interest Group on Applied Computing
- University of Cyprus
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 30 October 2017
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- Refereed limited
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mLearn 2017
mLearn 2017: 16th World Conference on Mobile and Contextual Learning
October 30 - November 1, 2017
Larnaca, Cyprus
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