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Authors: Tamara Sliusarenko ; Line Harder Clemmensen and Bjarne Kjær Ersbøll

Affiliation: Technical University of Denmark, Denmark

Keyword(s): Text Mining, Course Evaluation, Teacher Evaluation, Factor Analysis, Keyphrase Extraction.

Related Ontology Subjects/Areas/Topics: Computer-Supported Education ; Social Context and Learning Environments ; Teacher Evaluation

Abstract: Extensive research has been done on student evaluations of teachers and courses based on quantitative data from evaluation questionnaires, but little research has examined students’ written responses to open-ended questions and their relationships with quantitative scores. This paper analyzes such kind of relationship of a well established course at the Technical University of Denmark using statistical methods. Keyphrase extraction tool was used to find the main topics of students’ comments, based on which the qualitative feedback was transformed into quantitative data for further statistical analysis. Application of factor analysis helped to reveal the important issues and the structure of the data hidden in the students’ written comments, while regression analysis showed that some of the revealed factors have a significant impact on how students rate a course.

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Paper citation in several formats:
Sliusarenko, T.; Harder Clemmensen, L. and Ersbøll, B. (2013). Text Mining in Students' Course Evaluations - Relationships between Open-ended Comments and Quantitative Scores. In Proceedings of the 5th International Conference on Computer Supported Education - CSEDU; ISBN 978-989-8565-53-2; ISSN 2184-5026, SciTePress, pages 564-573. DOI: 10.5220/0004384705640573

@conference{csedu13,
author={Tamara Sliusarenko. and Line {Harder Clemmensen}. and Bjarne Kjær Ersbøll.},
title={Text Mining in Students' Course Evaluations - Relationships between Open-ended Comments and Quantitative Scores},
booktitle={Proceedings of the 5th International Conference on Computer Supported Education - CSEDU},
year={2013},
pages={564-573},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004384705640573},
isbn={978-989-8565-53-2},
issn={2184-5026},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Computer Supported Education - CSEDU
TI - Text Mining in Students' Course Evaluations - Relationships between Open-ended Comments and Quantitative Scores
SN - 978-989-8565-53-2
IS - 2184-5026
AU - Sliusarenko, T.
AU - Harder Clemmensen, L.
AU - Ersbøll, B.
PY - 2013
SP - 564
EP - 573
DO - 10.5220/0004384705640573
PB - SciTePress

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