Digital Education Resource Mining for Decision Support

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.

Grantor dc:publisher.institution

University of Bradford

Year dc:date.issued

2021

Author dc:creator

• AL Fanah, Muna M.S.

Advisor dc:contributor.advisor

• Not named

• University rankings
• e-learners
• Classification
• Prediction
• Decision Trees
• Model-based clustering
• Markov Chains
• Education
• Resource mining
• Decision support

Statement dc:rights

• <a rel="license" href="http://creativecommons.org/licenses/by-nc-nd/3.0/"><img alt="Creative Commons License" style="border-width:0" src="http://i.creativecommons.org/l/by-nc-nd/3.0/88x31.png" /></a><br />The University of Bradford theses are licenced under a <a rel="license" href="http://creativecommons.org/licenses/by-nc-nd/3.0/">Creative Commons Licence</a>.

Language dc:language.iso

en

Handle dc:identifier.uri

http://hdl.handle.net/10454/19295

OAI identifier oai:identifier

oai:bradscholars.brad.ac.uk:10454/19295