poster

An online tool for analyzing written student feedback

Authors:

Niku Grönberg,

Antti Knutas,

Timo Hynninen,

Maija HujalaAuthors Info & Claims

Koli Calling '20: Proceedings of the 20th Koli Calling International Conference on Computing Education Research

Article No.: 40, Pages 1 - 2

https://doi.org/10.1145/3428029.3428565

Published: 22 November 2020 Publication History

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Abstract

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.

References

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Dyulicheva Y(2024)Application of Learning Analytics in Higher Education: Datasets, Methods and ToolsVysshee Obrazovanie v Rossii = Higher Education in Russia10.31992/0869-3617-2024-33-5-86-11133:5(86-111)Online publication date: 19-Jun-2024
https://doi.org/10.31992/0869-3617-2024-33-5-86-111
Hagerer GLahesoo LAnschutz MKrusche SGroh G(2021)An Analysis of Programming Course Evaluations Before and After the Introduction of an Autograder2021 19th International Conference on Information Technology Based Higher Education and Training (ITHET)10.1109/ITHET50392.2021.9759809(01-09)Online publication date: 4-Nov-2021
https://doi.org/10.1109/ITHET50392.2021.9759809

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Published In

Koli Calling '20: Proceedings of the 20th Koli Calling International Conference on Computing Education Research

November 2020

295 pages

ISBN:9781450389211

DOI:10.1145/3428029

Editors:
Nick Falkner
University of Adelaide, Australia
,
Otto Seppala
Aalto University, Finland

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 22 November 2020

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Koli Calling '20

Koli Calling '20: 20th Koli Calling International Conference on Computing Education Research

November 19 - 22, 2020

Koli, Finland

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Dyulicheva Y(2024)Application of Learning Analytics in Higher Education: Datasets, Methods and ToolsVysshee Obrazovanie v Rossii = Higher Education in Russia10.31992/0869-3617-2024-33-5-86-11133:5(86-111)Online publication date: 19-Jun-2024
https://doi.org/10.31992/0869-3617-2024-33-5-86-111
Hagerer GLahesoo LAnschutz MKrusche SGroh G(2021)An Analysis of Programming Course Evaluations Before and After the Introduction of an Autograder2021 19th International Conference on Information Technology Based Higher Education and Training (ITHET)10.1109/ITHET50392.2021.9759809(01-09)Online publication date: 4-Nov-2021
https://doi.org/10.1109/ITHET50392.2021.9759809

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Sentiment Analysis to Track Emotion and Polarity in Student Fora

Topic-based knowledge mining of online student reviews for strategic planning in universities

Dream sentiment analysis using second order soft co-occurrences (SOSCO) and time course representations

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