TY - GEN
T1 - Insights on gender differences in CS1
T2 - 2017 ACM Conference on Innovation and Technology in Computer Science Education, ITiCSE 2017
AU - Quille, Keith
AU - Culligan, Natalie
AU - Bergin, Susan
N1 - Publisher Copyright:
© 2017 ACM.
PY - 2017/6/28
Y1 - 2017/6/28
N2 - 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.
AB - 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.
KW - Computer science education
KW - CS1
KW - Female
KW - Gender
KW - Programming
KW - Programming self-efficacy
UR - https://www.scopus.com/pages/publications/85029495201
U2 - 10.1145/3059009.3059048
DO - 10.1145/3059009.3059048
M3 - Conference contribution
T3 - Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE
SP - 263
EP - 268
BT - ITiCSE 2017 - Proceedings of the 2017 ACM Conference on Innovation and Technology in Computer Science Education
PB - Association for Computing Machinery (ACM)
Y2 - 3 July 2017 through 5 July 2017
ER -