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An Adaptive Time Management System for Student Learning

Record type: Conference or Workshop Item (Paper)

We present a modular framework for an adaptive, position-aware student time management system, and a prototype imlementation distributed between a desktop PC and a PDA. The system uses an adapted version of Soloman & Felder's Index of Learning Styles questionnaire to determine the student's learning style. This is matched with the teaching style of module, acquired by using a complementary teaching style questionnaire, to create an individual study plan for a user-defined learning task hierarchy. Based on user feedback the schedule is continually adapted using a multi-layered neural network. The mobile part of the system uses GPS data to launch position-related reminders. The novelty of our approach is its comprehensiveness, combining aspects of education theory, time management, machine learning, and position-awareness in a single framework. Remaining work includes the integration into the university IT infrastructure and a thorough evaluation by a representative group of students.

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Citation

Rebenich, Till and Gravell, Andrew M (2008) An Adaptive Time Management System for Student Learning At World Conference on Educational Multimedia, Hypermedia and Telecommunications 2008, Austria. , pp. 5357-5366.

More information

Published date: 30 June 2008
Additional Information: Event Dates: 30 June 2008
Venue - Dates: World Conference on Educational Multimedia, Hypermedia and Telecommunications 2008, Austria, 2008-06-30
Keywords: Students, Learning Management Systems
Organisations: Web & Internet Science, Electronic & Software Systems

Identifiers

Local EPrints ID: 266757
URI: http://eprints.soton.ac.uk/id/eprint/266757
PURE UUID: 9b204d53-7f38-49a6-b154-08ba865675ca

Catalogue record

Date deposited: 21 Oct 2008 11:58
Last modified: 18 Jul 2017 07:12

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Contributors

Author: Till Rebenich
Author: Andrew M Gravell

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