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Design of an Adaptive Mobile Learning Management System

Design of an Adaptive Mobile Learning Management System
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Author(s): Hyungsung Park (Korea National University of Education, Korea), Young Kyun Baek (Korea National University of Education, Korea)and David Gibson (The University of Vermont, USA)
Copyright: 2008
Pages: 16
Source title: Handbook of Research on User Interface Design and Evaluation for Mobile Technology
Source Author(s)/Editor(s): Joanna Lumsden (Glasgow Caledonian University)
DOI: 10.4018/978-1-59904-871-0.ch018

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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’ learning 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.

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