Finding Regularities in Courses Evaluation with K-means Clustering

R. Campagni, D. Merlini, M. C. Verri

2014

Abstract

This paper presents an analysis about the courses evaluation made by university students together with their results in the corresponding exams. The analysis concerns students and courses of a Computer Science program of an Italian University from 2001/2002 to 2007/2008 academic years. Before the end of each course, students evaluate different aspects of the course, such as the organization and the teaching. Evaluation data and the results obtained by students in terms of grades and delays with which they take their exams can be collected and reorganized in an appropriate way. Then we can use clustering techniques to analyze these data thus show possible correlation between the evaluation of a course and the corresponding average results as well as regularities among groups of courses over the years. The results of this type of analysis can possibly suggest improvements in the teaching organization.

Paper Citation

in Harvard Style

Campagni R., Merlini D. and Verri M. (2014). Finding Regularities in Courses Evaluation with K-means Clustering . In Proceedings of the 6th International Conference on Computer Supported Education - Volume 2: CSEDU, ISBN 978-989-758-021-5, pages 26-33. DOI: 10.5220/0004796000260033

in Bibtex Style

@conference{csedu14,
author={R. Campagni and D. Merlini and M. C. Verri},
title={Finding Regularities in Courses Evaluation with K-means Clustering},
booktitle={Proceedings of the 6th International Conference on Computer Supported Education - Volume 2: CSEDU,},
year={2014},
pages={26-33},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004796000260033},
isbn={978-989-758-021-5},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Computer Supported Education - Volume 2: CSEDU,
TI - Finding Regularities in Courses Evaluation with K-means Clustering
SN - 978-989-758-021-5
AU - Campagni R.
AU - Merlini D.
AU - Verri M.
PY - 2014
SP - 26
EP - 33
DO - 10.5220/0004796000260033