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.

Download

[img] PDF (An Adaptive Time Management System for Student Learning) - Published Version
Download (240Kb)

Description/Abstract

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
ePrint ID: 266757
Date Deposited: 21 Oct 2008 11:58
Last Modified: 27 Mar 2014 20:12
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/266757

Actions (login required)

View Item View Item

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics