Do Intentions to Persist Predict Short-Term Computing Course Enrollments-Reference-Cited by-同舟云学术

Do Intentions to Persist Predict Short-Term Computing Course Enrollments

Published:2023-03-02 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1
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Author:

Harred Rachel¹^ORCID,Barnes Tiffany¹^ORCID,Fisk Susan R.²^ORCID,Akram Bita¹^ORCID,Price Thomas W.¹^ORCID,Yoder Spencer¹^ORCID

Affiliation:

1. North Carolina State University, Raleigh, NC, USA

2. Kent State University, Kent, OH, USA

Funder

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3545945.3569875

Reference44 articles.

1. Bita Akram et al. "Increasing Students' Persistence in Computer Science through a Lightweight Scalable Intervention ". In: Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 1 . 2022 , pp. 526 -- 532 . Bita Akram et al. "Increasing Students' Persistence in Computer Science through a Lightweight Scalable Intervention". In: Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 1. 2022, pp. 526--532.

2. Exploring factors that influence computer science introductory course students to persist in the major

3. Persistence of community college students: The influence of student intent and academic and social integration

4. Best Practices for Developing and Validating Scales for Health, Social, and Behavioral Research: A Primer

5. Broadening participation in computing (BPC). url: https:// www.nsf.gov/pubs/2021/nsf21571/nsf21571.htm. Broadening participation in computing (BPC). url: https:// www.nsf.gov/pubs/2021/nsf21571/nsf21571.htm.

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