Insights on gender differences in CS1: A multi-institutional, multi-variate study

Keith Quille, Natalie Culligan, Susan Bergin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper describes a multivariate, multi-institutional study conducted in the academic year 2015-16. Six hundred and ninety-three students participated from 11 institutions, (ten institutions in Ireland and one in Denmark). The goal of the study was to compare the profile of male and female students enrolled on introductory programming modules (CS1), to determine if any significant differences could be identified by gender. The gender split was ∼79:21, male to female respectively. The study took place early in the CS1 module with three instruments used to capture data: a background survey, a survey on programming self-efficacy, comfort and anxiety, and a short programming test. At the end of the module, the overall result for each participant was gathered. Of importance, the study was conducted across multiple levels of Computer Science education, from Level 5 Certificate up to and including Honors Bachelor Degree and Higher Diploma, (which are based on the Irish National Framework of Qualifications NFQ). This paper describes the approach taken and the detailed analysis performed. Several significant differences between male and female students were identified early in CS1, some of which did not hold true at the end of the module. A gender comparison between the two participating countries and the different institution types was also performed and discussed. The findings could be used to positively influence teaching practice and to the development of gender focused retention and recruitment strategies.

Original languageEnglish
Title of host publicationITiCSE 2017 - Proceedings of the 2017 ACM Conference on Innovation and Technology in Computer Science Education
PublisherAssociation for Computing Machinery (ACM)
Pages263-268
Number of pages6
ISBN (Electronic)9781450347044
DOIs
Publication statusPublished - 28 Jun 2017
Externally publishedYes
Event2017 ACM Conference on Innovation and Technology in Computer Science Education, ITiCSE 2017 - Bologna, Italy
Duration: 3 Jul 20175 Jul 2017

Publication series

NameAnnual Conference on Innovation and Technology in Computer Science Education, ITiCSE
VolumePart F128680
ISSN (Print)1942-647X

Conference

Conference2017 ACM Conference on Innovation and Technology in Computer Science Education, ITiCSE 2017
Country/TerritoryItaly
CityBologna
Period3/07/175/07/17

Keywords

  • Computer science education
  • CS1
  • Female
  • Gender
  • Programming
  • Programming self-efficacy

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