Eliciting Adaptation Knowledge from On-Line Tutors to Increase Motivation

Hurley, Teresa and Weibelzahl, Stephan (2007) Eliciting Adaptation Knowledge from On-Line Tutors to Increase Motivation. In: User Modeling 2007 : Proceedings of 11th International Conference, UM2007. Lecture Notes in Computer Science (4511). Springer Berlin Heidelberg, Berlin, pp. 370-374. ISBN 9783540730781

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Abstract

In the classroom, teachers know how to motivate their students and how to exploit this knowledge to adapt or optimize their instruction when a student shows signs of demotivation. In on-line learning environments it is much more difficult to assess a learner’s motivation and to have adaptive intervention strategies and rules of application to help prevent attrition or drop-out. In this paper, we present results from a survey of on-line tutors on how they motivate their learners. These results will inform the development of an adaptation engine by extracting and validating selection rules for strategies to increase motivation depending on the learner’s self-efficacy, goal orientation, locus of control and perceived task difficulty in adaptive Intelligent Tutoring Systems.

Item Type:	Book Section
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
Divisions:	School of Computing > Staff Research and Publications
Depositing User:	Caoimhe Ní Mhaicín
Date Deposited:	19 Mar 2014 16:48
Last Modified:	26 Mar 2014 12:46
URI:	https://norma.ncirl.ie/id/eprint/1037

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