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    Digital Education Resource Mining for Decision Support

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    PhD Thesis (39.39Mb)
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    Publication date
    2021
    Author
    AL Fanah, Muna M.S.
    Supervisor
    Not named
    Keyword
    University rankings
    e-learners
    Classification
    Prediction
    Decision Trees
    Model-based clustering
    Markov Chains
    Education
    Resource mining
    Decision support
    Rights
    Creative Commons License
    The University of Bradford theses are licenced under a Creative Commons Licence.
    Institution
    University of Bradford
    Department
    Faculty of Engineering and Informatics. Department of Computer Science
    Awarded
    2021
    
    Metadata
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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
    Type
    Thesis
    Qualification name
    PhD
    Collections
    Theses

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