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Digital Education Resource Mining for Decision Support

AL Fanah, Muna M.S.
Publication Date
2021
End of Embargo
Supervisor
Not named
Keywords
University rankings, e-learners, Classification, Prediction, Decision Trees, Model-based clustering, Markov Chains, Education, Resource mining, Decision support
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Creative Commons License
The University of Bradford theses are licenced under a Creative Commons Licence.
Peer-Reviewed
Open Access status
Accepted for publication
Institution
University of Bradford
Department
Faculty of Engineering and Informatics. Department of Computer Science
Awarded
2021
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Theses
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PhD Thesis
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Abstract
Nowadays education becomes a competitive and challenging domain, both na­tionally and internationally in terms of quality, visibility, experience of aca­demic delivery affecting institutions, applicants, regulatory bodies. Currently data becomes more available for the general and public use, and plays also an increasingly significant role in decision support for education topics. For example, world university rankings (WUR) such as Quacquarelli Symonds (QS), Central World University Rankings (CWUR), Times Higher Education (Times) and national university rankings (e.g. the Guardian newspaper Best UK Universities and the Complete University Guide league tables) have published their data for many years now and are increasingly used in such decision making processes by institutions and general public.
URI
http://hdl.handle.net/10454/19295
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Type
Thesis
Qualification name
PhD
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