Exploring the strengths and limitations of learning styles towards the design of an adaptive web-based instructional system
Thanasis Giouvanakis, Konstantinos Tarabanis, Despina Bousiou, Haido Samaras, University of Macedonia, Greece
EdMedia + Innovate Learning, in Denver, Colorado, USA ISBN 978-1-880094-45-7 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC
This presentation reports on our current and on-going R&D efforts towards the design and development of an instructional system that supports individual learning preferences through an adaptive web-based learning environment. The aim of the system is to facilitate individualized instruction by providing both content-level as well as link-level adaptations through the exploitation of the user's particular learning style. In order to accomplish this, different learning style models are explored and compared. These learning style models have been formulated and used in classifying students according to their preferences. The implementation of the adaptive instructional system is based on the use of learning object technology on the one hand and an inference engine (JESS) on the other. The former provides the framework for the structuring of the domain model while the latter renders the rules upon which the adaptation is defined.
Giouvanakis, T., Tarabanis, K., Bousiou, D. & Samaras, H. (2002). Exploring the strengths and limitations of learning styles towards the design of an adaptive web-based instructional system. In P. Barker & S. Rebelsky (Eds.), Proceedings of ED-MEDIA 2002--World Conference on Educational Multimedia, Hypermedia & Telecommunications (pp. 1707-1712). Denver, Colorado, USA: Association for the Advancement of Computing in Education (AACE).
© 2002 Association for the Advancement of Computing in Education (AACE)