Paper Info
Title
Developing a Computing Identity Framework: Understanding Computer Science and Information Technology Career Choice
Abstract
This paper expands on knowledge of computing identity by building on what is known about prior identity models in science and mathematics education. The model theorizes three primary sub-constructs that contribute to the development of a computing identity: belief in one's performance/competence, interest, and recognition in computing. Drawing on data from a nationally representative survey of more than 1,700 college students at 22 colleges and universities, the study tested the alignment of the theorized model to the measures on the survey. Confirmatory Factor Analysis was used to validate whether the appropriate measures loaded on the three separate sub-constructs. Criterion-related validity was also established by testing whether the computing identity measures predicted the choice of a computer science career. The results reveal that a computing identity proxy based on the theorized measures was a highly significant predictor of students' computer science and information technology career choice (p < 0.0001). In addition, this work also established criterion-related validity by showing gender differences that had been found by prior work in computing. Finally, the theorized measures were found to be reliable and internally consistent. The educational understanding of computing identities may provide an important tool to help researchers and practitioners improve student persistence in computer science.
Year
DOI
Venue
2020
10.1145/3365571
ACM Transactions on Computing Education (TOCE)
Keywords
DocType
Volume
Computing identity,STEM career choice,computer science
Journal
20
Issue
ISSN
Citations 
1
1946-6226
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Jonathan Mahadeo100.34
Zahra Hazari232.11
Geoff Potvin322.28