The Evaluation of Adaptive Technology-Enhanced Learning Systems
File Type:
PDFItem Type:
Conference PaperDate:
2012-10Citation:
Catherine Mulwa, Seamus Lawless, Mary Sharp, Vincent Wade, The Evaluation of Adaptive Technology-Enhanced Learning Systems, The World Conference on E-Learning in Corporate, Government, Healthcare and Higher Education, E-LEARN 2012, Montreal, Quebec, Canada, 9th-12th October, 2012Download Item:
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.
Author's Homepage:
http://people.tcd.ie/selawlesDescription:
PUBLISHEDOther Titles:
The World Conference on E-Learning in Corporate, Government, Healthcare and Higher Education, E-LEARN 2012Type of material:
Conference PaperCollections
Availability:
Full text availableKeywords:
Evaluation, Adaptivity, Technology Enhanced LearningMetadata
Show full item recordLicences: