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Towards an intelligent tutor for hierarchically-structured curricula

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dc.contributor.advisor Barrow JE, Mr en
dc.contributor.author Thomas TA en
dc.date.accessioned 2016-09-22T11:54:18Z
dc.date.available 2016-09-22T11:54:18Z
dc.date.submitted 1990 en
dc.identifier.uri http://hdl.handle.net/20.500.11892/141719
dc.description.abstract An intelligent tutor should be able to understand the domain it is giving instruction in, the student it is attempting to teach and how to teach and communicate in an effective way. A prototype intelligent tutor for the addition of fractions is developed for this dissertation. An expert, module with knowledgebase and inference engine is used so that the tutor will understand the domain it is teaching. The tutor uses a learning hierarchy structured as a curriculum graph showing the skills to be learnt and the relationships between those skills. The tutor is highly adaptable to the individual student, both in terms, of what the student does and does not know and with regard to his preferences. To achieve this the tutor uses three separate student models and a tutor module which can adapt its guidance according to its understanding of the student models. en
dc.language English en
dc.subject Computer Science en
dc.subject General en
dc.title Towards an intelligent tutor for hierarchically-structured curricula en
dc.type Masters degree en
dc.description.degree MSc en


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