Student evaluation of teaching: a Partial Least Square-Path Modeling approach - Achille Basile, Rosanna Cataldo, Shira Fano - Vita e Pensiero - Articolo Statistica & Applicazioni

Student evaluation of teaching: a Partial Least Square-Path Modeling approach

digital Student evaluation of teaching: a Partial Least Square-Path
Modeling approach
Article
journal STATISTICA & APPLICAZIONI
issue STATISTICA & APPLICAZIONI - 2019 - 2
title Student evaluation of teaching: a Partial Least Square-Path Modeling approach
authors


publisher Vita e Pensiero
format Article | Pdf
online since 11-2020
doi 10.26350/999999_000023
issn 1824-6672 (print) | 2283-6659 (digital)
Write a comment for this product
Download

Ebook format Pdf readable on these devices:

Nowadays all universities carry out surveys to measure student satisfaction of teaching quality. In this work we study which are the main determinants of student satisfaction of courses, analyzing teaching evaluations filled in by students. Survey questions are designed to assess general satisfaction of students based on the following constructs: teaching, course organization and infrastructure. Structural Equation Modeling, and in particular Partial Least Squares - Path Modeling, is used to examine the relationships between the latent constructs, with the aim of evaluating student satisfaction. Data consists of teaching evaluations collected in a large public university in the academic year 2017/2018. The main result is that teacher characteristics matter and they are the main drivers of student overall satisfactions. The ability of teachers to stimulate student interest, together with the clarity of their explanations, are key drivers to increase student satisfaction. Moreover, organization of teaching and infrastructures are positively correlated with expected satisfaction, but their effect is (much) smaller.

keywords

Higher Education, Teaching Evaluation, Student Satisfaction, Partial Least Squares-Path Modeling.

Authors biography

Dipartimento di Scienze Sociali - Universita` Federico II di Napoli (e-mail: rosanna.cataldo2@unina.it).
Dipartimento di Economia e Statistica - Universita` Federico II di Napoli (e-mail: shira.fano@gmail.com; tiziana.venittelli@unina.it; basile@unina.it).

This site or third-party tools used by this make use of cookies necessary for the operation and useful for the purposes outlined in the cookie policy.
If you want to learn more or opt out of all or some cookies, see the cookie policy.
By closing this warning, browsing this page, clicking on a link or continuing to browse otherwise, you consent to the use of cookies.

I Agree