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Supervisor recommendation tool for Computer Science projects

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Date
09/01/2019
Author
Zemaityte, Gintare
Terzic, Kasim
Keywords
Applied Computing
Education
Information retrieval
LB Theory and practice of education
QA75 Electronic computers. Computer science
NS
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Abstract
In 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.
Citation
Zemaityte , 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/10.1145/3294016.3294030
 
conference
 
Publication
Proceedings of the 3rd Conference on Computing Education Practice (CEP '19)
DOI
https://doi.org/10.1145/3294016.3294030
Type
Conference item
Rights
© 2019 Copyright held by the owner/author(s). Publication rights licensed to ACM. This work has been made available online in accordance with the publisher's policies. This is the author created accepted version manuscript following peer review and as such may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1145/3294016.3294030
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  • Computer Science Research
  • University of St Andrews Research
URI
http://hdl.handle.net/10023/16935

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