Conference Proceedings


Vincent Wade
Mary Sharp
Catherine Mulwa
Seamus Lawless


Computer Science

learning technology systems adaptivity technology enhanced learning evaluation methods adaptive learning user experience user context

The Evaluation of Adaptive Technology-Enhanced Learning Systems (2012)

Abstract Adaptive technology enhanced learning has attracted significant interest with the promise of supporting individual learning tailored to the unique circumstances, preferences, and prior knowledge of a learner. Evaluation of the overall performance of such adaptive TEL systems is a major challenge; as such systems react differently for each individual user and context of use. Evaluation of such systems has become a significant but very complex area of research in itself since depending on the aspect of adaptivity and personalisation that needs to be evaluated (quality of the user modelling, performance of different adaptation approaches, knowledge gain from using the personalised system or overall end user experience), several evaluation techniques need to be combined and executed differently. This paper proposes a hybrid recommendation service for recommending appropriate evaluation techniques (approach, methods, metrics and criteria). It also discusses evaluation challenges and presents analysed results of a survey on evaluations of adaptive systems.
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Full list of authors on original publication

Vincent Wade, Mary Sharp, Catherine Mulwa, Seamus Lawless

Experts in our system

Vincent Patrick Wade
Trinity College Dublin
Total Publications: 140
Seamus Lawless
Trinity College Dublin
Total Publications: 71