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Clustering students' open-ended questionnaire answers
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Hämäläinen, Wilhelmiina, Joy, Mike, Berger, Florian and Huttunen, Sami (2018) Clustering students' open-ended questionnaire answers. Working Paper. University of Warwick, Department of Computer Science. (Unpublished)
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Abstract
Open responses form a rich but underused source of information in educational data mining and intelligent tutoring systems. One of the major obstacles is the difficulty of clustering short texts automatically. In this paper, we investigate the problem of clustering free-formed questionnaire answers. We present comparative experiments on clustering ten sets of open responses from course feedback queries in English and Finnish. We also evaluate how well the main topics could be extracted from clusterings with the HITS algorithm. The main result is that, for English data, affinity propagation performed well despite frequent outliers and considerable overlapping between real clusters. However, for Finnish data, the performance was poorer and none of the methods clearly outperformed the others. Similarly, topic extraction was very successful for the English data but only satisfactory for the Finnish data. The most interesting discovery was that stemming could actually deteriorate the clustering quality significantly.
Item Type: | Working or Discussion Paper (Working Paper) | ||||
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Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software | ||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||
Library of Congress Subject Headings (LCSH): | Questionnaires -- Data processing, Data mining, Internet in education | ||||
Publisher: | University of Warwick, Department of Computer Science | ||||
Official Date: | 19 September 2018 | ||||
Dates: |
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Institution: | University of Warwick | ||||
Status: | Not Peer Reviewed | ||||
Publication Status: | Unpublished | ||||
Access rights to Published version: | Restricted or Subscription Access | ||||
Date of first compliant deposit: | 30 May 2019 | ||||
Open Access Version: |
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