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| Content Provider | Springer Nature Link |
|---|---|
| Author | Nedungadi, Prema Raman, Raghu |
| Copyright Year | 2012 |
| Abstract | Most personalized learning systems are designed for either personal computers (e-learning) or mobile devices (m-learning). Our research has resulted in a cloud-based adaptive learning system that incorporates mobile devices into a classroom setting. This system is fully integrated into the formative assessment process and, most importantly, coexists with the present e-learning environment. Unlike many mobile learning systems, this system provides teachers with real-time feedback about individual and group learners. Its scalable and extendable architectural framework includes the server-side pedagogical recommendation of content adaptation based on the users’ knowledge-levels and preferences. Content is also automatically adapted to the end device that is being used. This context-aware delivery allows users to switch between e-learning and m-learning, and between devices, without any loss in personalized content. Our work builds on a web-based Adaptive Learning and Assessment System (ALAS) that is built on the Knowledge Space Theory model. At present, this system is used at school computer labs and our goal was to widen this user-base by enhancing this system to support personalized learning on mobile devices. This study describes our process of developing this technology, and contains an empirical analysis of students’ performance, perceptions, and achievements when using ALAS on both personal computers and mobile devices. |
| Starting Page | 659 |
| Ending Page | 678 |
| Page Count | 20 |
| File Format | |
| ISSN | 10421629 |
| Journal | Educational Technology Research and Development |
| Volume Number | 60 |
| Issue Number | 4 |
| e-ISSN | 15566501 |
| Language | English |
| Publisher | Springer US |
| Publisher Date | 2012-04-27 |
| Publisher Institution | Association for Educational Communications & Technology |
| Publisher Place | Boston |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Adaptive assessment Mobile learning Personalized learning Adaptive learning Mobile device Mobility Intelligent tutoring m-Learning e-Learning Learning & Instruction Educational Technology |
| Content Type | Text |
| Resource Type | Article |
| Subject | Education |
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