AI in Computing Education from Research to Practice
Author:
Affiliation:
1. North Carolina State University, Raleigh, NC, USA
2. Aalto University, Espoo, Finland
3. University of California Berkeley, Berkeley, CA, USA
4. Abilene Christian University, Abilene, TX, USA
5. University of Toronto, Toronto, ON, Canada
Funder
NSF
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3626253.3631657
Reference17 articles.
1. Bita Akram Susan Fisk Spencer Yoder Cynthia Hunt Thomas Price Lina Battestilli and Tiffany Barnes. 2022. Increasing Students' Persistence in Computer Science through a Lightweight Scalable Intervention. In ITiCSE'22.
2. Brett A Becker Paul Denny James Finnie-Ansley Andrew Luxton-Reilly James Prather and Eddie Antonio Santos. 2023. Programming Is Hard--Or at Least It Used to Be: Educational Opportunities And Challenges of AI Code Generation. (2023).
3. The Robots Are Coming: Exploring the Implications of OpenAI Codex on Introductory Programming
4. AI education matters
5. Do Intentions to Persist Predict Short-Term Computing Course Enrollments
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