Text Mining in Students' Course Evaluations - Relationships between Open-ended Comments and Quantitative Scores

Tamara Sliusarenko, Line Harder Clemmensen, Bjarne Kjær Ersbøll

2013

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.

Paper Citation

in Harvard Style

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 - Volume 1: CSEDU, ISBN 978-989-8565-53-2, pages 564-573. DOI: 10.5220/0004384705640573

in Bibtex Style

@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 - Volume 1: CSEDU,},
year={2013},
pages={564-573},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004384705640573},
isbn={978-989-8565-53-2},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Conference on Computer Supported Education - Volume 1: CSEDU,
TI - Text Mining in Students' Course Evaluations - Relationships between Open-ended Comments and Quantitative Scores
SN - 978-989-8565-53-2
AU - Sliusarenko T.
AU - Harder Clemmensen L.
AU - Ersbøll B.
PY - 2013
SP - 564
EP - 573
DO - 10.5220/0004384705640573