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dc.contributor.editorFuchs, Kevin
dc.contributor.editorHenning, Peter A.
dc.date.accessioned2022-11-28T16:03:47Z
dc.date.available2022-11-28T16:03:47Z
dc.date.issued2017
dc.identifierONIX_20221128_9781000794236_21
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/59737
dc.description.abstractINTUITEL is a research project that was co-financed by the European Commission with the aim to advance state-of-the-art e-learning systems via addition of guidance and feedback for learners. Through a combination of pedagogical knowledge, measured learning progress and a broad range of environmental and background data, INTUITEL systems will provide guidance towards an optimal learning pathway. This allows INTUITEL-enabled learning management systems to offer learners automated, personalised learning support so far only provided by human tutors INTUITEL is - in the first place - a design pattern for the creation of adaptive e-learning systems. It focuses on the reusability of existing learning material and especially the annotation with semantic meta data. INTUITEL introduces a novel approach that describes learning material as well as didactic and pedagogical meta knowledge by the use of ontologies. Learning recommendations are inferred from these ontologies during runtime. This way INTUITEL solves a common problem in the field of adaptive systems: it is not restricted to a certain field. Any content from any domain can be annotated. The INTUITEL research team also developed a prototype system. Both the theoretical foundations and how to implement your own INTUITEL system are discussed in this book.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineeringen_US
dc.subject.classificationthema EDItEUR::P Mathematics and Science::PH Physics::PHD Classical mechanics::PHDY Energyen_US
dc.subject.otherComputer programming / software engineering
dc.subject.otherEnergy
dc.titleComputer-Driven Instructional Design with INTUITEL
dc.typebook
oapen.identifier.doi10.1201/9781003337690
oapen.relation.isPublishedBy7b3c7b10-5b1e-40b3-860e-c6dd5197f0bb
oapen.relation.isFundedBy3983007a-5726-4f1e-b9df-3fbc771f2916
oapen.relation.isbn9781000794236
oapen.relation.isbn9788793519510
oapen.relation.isbn9781003337690
oapen.imprintRiver Publishers
oapen.pages178
oapen.grant.number[...]
peerreview.anonymitySingle-anonymised
peerreview.idbc80075c-96cc-4740-a9f3-a234bc2598f1
peerreview.open.reviewNo
peerreview.publish.responsibilityPublisher
peerreview.review.stagePre-publication
peerreview.review.typeProposal
peerreview.reviewer.typeInternal editor
peerreview.reviewer.typeExternal peer reviewer
peerreview.titleProposal review
oapen.review.commentsTaylor & Francis open access titles are reviewed as a minimum at proposal stage by at least two external peer reviewers and an internal editor (additional reviews may be sought and additional content reviewed as required).


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