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ERIC Number: EJ1196454
Record Type: Journal
Publication Date: 2018
Pages: 12
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0951-354X
EISSN: N/A
Dynamic Clustering to Evaluate Satisfaction with Teaching at University
Bassi, Francesca
International Journal of Educational Management, v32 n6 p1070-1081 2018
Purpose: The 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/approach: Latent 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. Findings: Results of model estimation reveal some interesting evidences that are important indications for the university management to define targeted strategies to elevate teaching quality. Originality/value: The 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.
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Italy
Grant or Contract Numbers: N/A