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Students’ opinions on teaching and services provided by the Italian Universities: a proposal for a new evaluation scheme

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  • Bruno Bertaccini

    (University of Florence)

  • Antonio Giusti

    (University of Florence)

  • Alessandra Petrucci

    (University of Florence)

Abstract

In Italy, the evaluation of the internal effectiveness of academic training courses has been substantiated, for over 20 years, in periodical surveys on students’ opinions on teaching and related services. The first proposal to homogenize the various measurement methods adopted by the Universities was advanced by the former National Committee for the Evaluation of the University System in 2000 and it was the reference model until 2011, when the first Board of Directors of the National Evaluation of University and Research Agency (ANVUR) took over. The Agency’s attempt, within the AVA (Self-assessment, Periodic Evaluation and Accreditation) methodological framework, to enrich and update the survey highlighted a number of critical issues, essentially linked to the ways and times of participation of students, compared to the modalities in which the training offers of the universities are organized. Taking a cue from these critical issues, the purpose of this paper is to propose a new, simpler and more rational evaluation model, which still maintains substantial continuity with the inspiring principles of the past plants, and tries to consolidate the monitoring efforts made by the universities to date.

Suggested Citation

  • Bruno Bertaccini & Antonio Giusti & Alessandra Petrucci, 2019. "Students’ opinions on teaching and services provided by the Italian Universities: a proposal for a new evaluation scheme," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(2), pages 1037-1050, March.
    • Handle: RePEc:spr:qualqt:v:53:y:2019:i:2:d:10.1007_s11135-018-0801-y
    DOI: 10.1007/s11135-018-0801-y
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    Cited by:

    1. Silvia Bacci & Bruno Bertaccini & Alessandra Petrucci, 2020. "Beliefs and needs of academic teachers: a latent class analysis," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 29(3), pages 597-617, September.
    2. Qi-Zhen Zhang & Shan Jiang & Ran Liu & Hu-Chen Liu, 2020. "An Integrated Decision-Making Model for Analyzing Key Performance Indicators in University Performance Management," Mathematics, MDPI, vol. 8(10), pages 1-16, October.

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