An online tool for analyzing written student feedback
Grönberg, Niku; Knutas, Antti; Hynninen, Timo; Hujala, Maija (2020)
Grönberg, Niku
Knutas, Antti
Hynninen, Timo
Hujala, Maija
Editoija
Falkner, Nick
Seppälä, Otto
Association for Computing Machinery
2020
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe202102104398
https://urn.fi/URN:NBN:fi-fe202102104398
Tiivistelmä
Collecting student feedback is commonplace in universities. Feedback surveys usually have both open-ended questions and Likert-type questions, but the answers to open questions tend not to be analysed further than simply reading them. This paper presents a tool for analyzing written student feedback using topic modeling and emotion analysis. We demonstrate the utility of this tool using course survey responses from a software engineering (SE) programme.