How CS academics view student engagement

Morgan, Michael, Butler, Matthew, Thota, Nina and Sinclair, Jane (2018) How CS academics view student engagement. In: 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education, Larnaca, Cyprus, 2-4 Jul 2018. Published in: Proceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education pp. 284-289. ISBN 9781450357074 . doi:10.1145/3197091.3197092

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Official URL: https://doi.org/10.1145/3197091.3197092

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Abstract

There are several national benchmarks used to measure student engagement, including the National Survey of Student Engagement (NSSE) in the USA and Canada, the Student Experience Survey (SES) in Australia, and the UK Engagement Survey (UKES). For a number of years, the world-wide performance of Computer Science (CS) on these benchmarks and across a range of instruments has been weak and shows little sign of improvement. The weakness of CS ratings is apparent especially when compared to related STEM disciplines that consistently rate more highly on many measures.

In order to understand the nature of the problems that result in our own students rating their engagement with their CS studies so poorly, it is essential to understand the perspectives of CS academics on student engagement in general, and how the nature of the CS discipline and CS students relate to engagement issues. Previous work has suggested that CS academics' views on student engagement differ significantly and that they attempt to address student engagement using a variety of strategies. In this paper, we carry out an in-depth analysis of CS academic perspectives regarding student engagement by analysing 16 interviews conducted with academics from several countries. Since student engagement measures are used by students to make course study decisions, it is important to understand why CS students rate CS courses so poorly and how the views of CS academics feed into this issue.

Item Type:	Conference Item (Paper)
Subjects:	L Education > LB Theory and practice of education > LB2300 Higher Education Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions:	Faculty of Science, Engineering and Medicine > Science > Computer Science
Library of Congress Subject Headings (LCSH):	Computer science -- Study and teaching (Higher) , Motivation in education, Student activities , College student development programs
Journal or Publication Title:	Proceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education
Publisher:	ACM
ISBN:	9781450357074
Official Date:	2 July 2018
Dates:	Date Event 2 July 2018 Available 11 March 2018 Accepted
Page Range:	pp. 284-289
DOI:	10.1145/3197091.3197092
Status:	Peer Reviewed
Publication Status:	Published
Re-use Statement:	© ACM 2018. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in ACM Transactions on Computing Education, http://dx.doi.org/10.1145/10.1145/3171129
Access rights to Published version:	Restricted or Subscription Access
Date of first compliant deposit:	23 May 2019
Date of first compliant Open Access:	23 May 2019
Conference Paper Type:	Paper
Title of Event:	23rd Annual ACM Conference on Innovation and Technology in Computer Science Education
Type of Event:	Conference
Location of Event:	Larnaca, Cyprus
Date(s) of Event:	2-4 Jul 2018
URI:	https://wrap.warwick.ac.uk/117308/

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