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Authors: R. Campagni ; D. Merlini and M. C. Verri

Affiliation: Università di Firenze, Italy

Keyword(s): Educational Data Mining, K-means Clustering, Courses Evaluation, Assessment.

Related Ontology Subjects/Areas/Topics: Assessment and Accreditation of Courses and Institutions ; Computer-Supported Education ; Learning/Teaching Methodologies and Assessment ; Metrics and Performance Measurement ; Social Context and Learning Environments ; Teacher Evaluation

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.

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Paper citation in several formats:
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 3: CSEDU; ISBN 978-989-758-021-5; ISSN 2184-5026, SciTePress, pages 26-33. DOI: 10.5220/0004796000260033

@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 3: CSEDU},
year={2014},
pages={26-33},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004796000260033},
isbn={978-989-758-021-5},
issn={2184-5026},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Computer Supported Education - Volume 3: CSEDU
TI - Finding Regularities in Courses Evaluation with K-means Clustering
SN - 978-989-758-021-5
IS - 2184-5026
AU - Campagni, R.
AU - Merlini, D.
AU - Verri, M.
PY - 2014
SP - 26
EP - 33
DO - 10.5220/0004796000260033
PB - SciTePress

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