Abstract
This chapter introduces the application of an artificial intelligence technique to a mobile educational device in order to provide a learning management system platform that is adaptive to students’ learn ing styles. The key concepts of the adaptive mobile learning management system (AM-LMS) platform are outlined and explained. The AM-LMS provides an adaptive environment that continually sets a mobile device’s use of remote learning resources to the needs and requirements of individual learners. The platform identifies a user’s learning style based on an analysis tool provided by Felder & Soloman (2005) and updates the profile as the learner engages with e-learning content. A novel computational mechanism continuously provides interfaces specific to the user’s learning style and supports unique user interactions. The platform’s interfaces include strategies for learning activities, contents, menus, and supporting functions for learning through a mobile device.
| Original language | English |
|---|---|
| Title of host publication | Handbook of Research on User Interface Design and Evaluation for Mobile Technology |
| Subtitle of host publication | Volume 1 |
| Pages | 286-301 |
| Number of pages | 16 |
| ISBN (Electronic) | 9781599048727 |
| DOIs | |
| State | Published - 1 Jan 2008 |