An Adaptive Time Management System for Student Learning
Rebenich, Till and Gravell, Andrew M (2008) An Adaptive Time Management System for Student Learning. In, World Conference on Educational Multimedia, Hypermedia and Telecommunications 2008, Vienna, Austria, AACE, 5357-5366.
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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.
|Item Type:||Conference or Workshop Item (Paper)|
|Additional Information:||Event Dates: 30 June 2008|
|Keywords:||Students, Learning Management Systems|
|Divisions:||Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Web & Internet Science
Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Electronic & Software Systems
|Date Deposited:||21 Oct 2008 11:58|
|Last Modified:||27 Mar 2014 20:12|
|Further Information:||Google Scholar|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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