Considering Different Learning Styles when Transferring Problem Solving Strategies from Expert to End Users
2004 (English)In: Knowledge-Based Intelligent Information and Engineering Systems: KES 2004, Wellington, New Zealand, September 20-25, 2004. Proceedings. Part I. / [ed] Mircea Gh. Negoita, Robert J. Howlett, L. C. Jain, Berlin Heidelberg: Springer Berlin/Heidelberg, 2004, 253-262 p.Conference paper (Refereed)
This paper discusses the manner in which a knowledge-based system can support different learning styles. There has been along tradition of constructing knowledge-based systems as learning environments to facilitate understanding and tutor subjects.These systems transfer domain knowledge and reasoning strategies to the end users by making the knowledge available. However,the systems are not usually adapted to the individual end user and his or hers way of learning. The systems only use a smallnumber of ways of teaching while end users have many different ways of learning. With this in mind, the knowledge-based systemsneed to be extended to support these different learning styles and facilitate the individual end user’s learning. Our focusin this article will be on the knowledge transfer, which is a process that enables learning to occur. We suggest using visualizationand simulation to support the transfer of problem solving strategies from a domain expert to end users.
Place, publisher, year, edition, pages
Berlin Heidelberg: Springer Berlin/Heidelberg, 2004. 253-262 p.
, Lecture Notes in Artificial Intelligence
IdentifiersURN: urn:nbn:se:kth:diva-44452DOI: 10.1007/978-3-540-30132-5_38ISI: 000224585300038ScopusID: 2-s2.0-35048829338ISBN: 978-3-540-30132-5OAI: oai:DiVA.org:kth-44452DiVA: diva2:450462
Knowledge-Based Intelligent Information and Engineering Systems
QC 201602222011-10-202011-10-202016-02-22Bibliographically approved