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dc.contributor.authorLubega, Jude T.
dc.contributor.authorWilliams, Shirley
dc.date.accessioned2012-02-03T17:23:50Z
dc.date.available2012-02-03T17:23:50Z
dc.date.issued2009-08-08
dc.identifier.citationIn Wang, F.L.; Fong, J.; Zhang, L.; Lee, V.K.S. (Eds.): Theoretical Computer Science and General Issues. Lecture Notes in Computer Science, Springer-Verlag Berlin Heidelberg, Vol. 5685, pp. 218-229en_US
dc.identifier.isbn978-3-642-03696-5
dc.identifier.urihttp://hdl.handle.net/10570/385
dc.descriptionThe original publication is available at http://www.springerlink.comen_US
dc.description.abstractWhen using e-learning material some students progress readily, others have difficulties. In a traditional classroom the teacher would identify those with difficulties and direct them to additional resources. This support is not easily available within e-learning. A new approach to providing constructive feedback is developed that will enable an e-learning system to identify areas of weakness and provide guidance on further study. The approach is based on the tagging of learning material with appropriate keywords that indicate the contents. Thus if a student performs poorly on an assessment on topic X, there is a need to suggest further study of X and participation in activities related to X such as forums. As well as supporting the learner this type of constructive feedback can also inform other stakeholders. For example a tutor can monitor the progress of a cohort; an instructional designer can monitor the quality of learning objects in facilitating the appropriate knowledge across many learners.en_US
dc.language.isoenen_US
dc.publisherSpringer-Verlag Berlin / Heidelbergen_US
dc.relation.ispartofseries;5685
dc.subjectE-Learningen_US
dc.subjectTrackingen_US
dc.subjectConstructive feedbacken_US
dc.subjectLMSen_US
dc.subjectPersonalisationen_US
dc.titleIntegrating constructive feedback in personalised e-learningen_US
dc.typeConference paperen_US


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