A4 Conference proceedings

To Get Good Student Ratings should you only Teach Programming Courses? Investigation and Implications of Student Evaluations of Teaching in a Software Engineering Context

Open Access publication

Publication Details

Authors: Knutas Antti, Hynninen Timo, Hujala Maija

Publisher: IEEE

Publication year: 2021

Language: English

Related journal or series: International Conference on Software Engineering

Title of parent publication: 2021 IEEE/ACM 43rd International Conference on Software Engineering: Software Engineering Education and Training (ICSE-SEET)

Journal acronym: ICSE

ISBN: 978-1-6654-2972-6

eISBN: 978-1-6654-0138-8

ISSN: 0270-5257

eISSN: 1558-1225

JUFO level of this publication: 2

Digital Object Identifier (DOI): http://dx.doi.org/10.1109/ICSE-SEET52601.2021.00035

Permanent website address: https://ieeexplore.ieee.org/document/9402161

Open Access: Open Access publication

Location of the parallel saved publication: https://arxiv.org/abs/2102.08179


Student evaluations of teaching (SET) are commonly used in universities for assessing teaching quality. However, previous literature shows that in software engineering students tend to rate certain topics higher than others: In particular students tend to value programming and software construction over software design, software engineering models and methods, or soft skills. We hypothesize that these biases also play a role in SET responses collected from students. The objective of this study is to investigate how the topic of a software engineering course affects the SET metrics. We accomplish this by performing multilevel regression analysis on SET data collected in a software engineering programme. We analyzed a total of 1295 student evaluations from 46 university courses in a Finnish university. The results of the analysis verifies that the student course evaluations exhibit similar biases as distinguished by previous software engineering education research. The type of the course can predict a higher SET rating. In our dataset, software construction and programming courses received higher SET ratings compared to courses on software engineering processes, models, and methods.

Last updated on 2021-03-08 at 10:54