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dc.contributor.authorZemaityte, Gintare
dc.contributor.authorTerzic, Kasim
dc.date.accessioned2019-01-25T17:30:04Z
dc.date.available2019-01-25T17:30:04Z
dc.date.issued2019-01-09
dc.identifier257419950
dc.identifier3de2ce0a-8e9a-46bb-9c80-ec9cd15f54dc
dc.identifier85061063866
dc.identifier000516711700001
dc.identifier.citationZemaityte , G & Terzic , K 2019 , Supervisor recommendation tool for Computer Science projects . in Proceedings of the 3rd Conference on Computing Education Practice (CEP '19) . , 1 , ACM , New York , Computing Education Practice , Durham , United Kingdom , 9/01/19 . https://doi.org/10.1145/3294016.3294030en
dc.identifier.citationconferenceen
dc.identifier.isbn9781450366311
dc.identifier.urihttps://hdl.handle.net/10023/16935
dc.description.abstractIn most Computer Science programmes, students are required to undertake an individual project under the guidance of a supervisor during their studies. With increasing student numbers, matching students to suitable supervisors is becoming an increasing challenge. This paper presents a software tool which assists Computer Science students in identifying the most suitable supervisor for their final year project. It does this by matching a list of keywords or a project proposal provided by the students to a list of keywords which were automatically extracted from freely available data for each potential supervisor. The tool was evaluated using both manual and user testing, with generally positive results and user feedback. 83% of respondents agree that the current implementation of the tool is accurate, with 67% saying it would be a useful tool to have when looking for a supervisor. The tool is currently being adapted for wider use in the School.
dc.format.extent4
dc.format.extent499141
dc.language.isoeng
dc.publisherACM
dc.relation.ispartofProceedings of the 3rd Conference on Computing Education Practice (CEP '19)en
dc.subjectApplied Computingen
dc.subjectEducationen
dc.subjectInformation retrievalen
dc.subjectLB Theory and practice of educationen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectNSen
dc.subject.lccLBen
dc.subject.lccQA75en
dc.titleSupervisor recommendation tool for Computer Science projectsen
dc.typeConference itemen
dc.contributor.institutionUniversity of St Andrews. School of Computer Scienceen
dc.identifier.doi10.1145/3294016.3294030


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