Dynamic clustering to evaluate satisfaction with teaching at university

Author:

Bassi Francesca

Abstract

PurposeThe purpose of this paper is to measure students’ satisfaction with the didactics in a large Italian university, that of Padua, giving special attention to its evolution over time in consecutive academic years. The overall level of the quality of the didactics is examined and its change over time is modeled. Moreover, the effect of courses’ and teachers’ variables on it is estimated.Design/methodology/approachLatent cluster class models and mixture latent class Markov models are estimated in order to identify groups of courses that are homogeneous for the level of the quality of the didactics. Evolution over the three academic years of satisfaction is monitored. The effect on the clustering and its dynamics of potential covariates is also examined.FindingsResults of model estimation reveal some interesting evidences that are important indications for the university management to define targeted strategies to elevate teaching quality.Originality/valueThe paper gives its original contribution both on the side of methods applied to analyze data collected with students evaluation of teaching and on the evidences obtained for a large university.

Publisher

Emerald

Subject

Organizational Behavior and Human Resource Management,Education,Organizational Behavior and Human Resource Management,Education

Reference24 articles.

1. Longitudinal models for dynamic segmentation in financial markets;International Journal of Bank Marketing,2017

2. Students’ evaluation of teaching at a large Italian university: validation of measurement scale;Electronic Journal of Applied Statistical Analysis,2017

3. Where class size really matters: class size and students’ ratings of instructor effectiveness;Economics of Education Review,2008

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