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dc.contributor.authorBarker, Trevor
dc.date.accessioned2013-02-27T10:29:49Z
dc.date.available2013-02-27T10:29:49Z
dc.date.issued2010
dc.identifier.citationBarker , T 2010 , ' An automated feedback system based on adaptive testing : extending the model ' , International Journal of Emerging Technologies in Learning , vol. 5 , no. 2 .
dc.identifier.issn1863-0383
dc.identifier.otherPURE: 833655
dc.identifier.otherPURE UUID: 34f6b739-f12e-475c-a78e-cdc71129868e
dc.identifier.otherScopus: 84863006265
dc.identifier.urihttp://hdl.handle.net/2299/10088
dc.description.abstractThe results of the recent national students survey (NSS) revealed that a major problem in HE today is that of student feedback. Research carried out by members of the project team in the past has led to the development of an automated student feedback system for use with objective formative testing. This software relies on an ‘intelligent’ engine to determine the most appropriate individual feedback, based on test performance, relating not only to answers, but also to Bloom’s cognitive levels. The system also recommends additional materials and challenges, for each individual learner. Detailed evaluation with more than 500 students and 100 university staff have shown that the system is highly valued by learners and seen by staff as an important addition to the methods available. The software has been used on two modules so far over a two year perioden
dc.language.isoeng
dc.relation.ispartofInternational Journal of Emerging Technologies in Learning
dc.titleAn automated feedback system based on adaptive testing : extending the modelen
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionScience & Technology Research Institute
dc.description.statusPeer reviewed
dcterms.dateAccepted2010
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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