"Why Put in This Much Effort?": How AI Availability Shapes Students' Motivation in Introductory Programming
Open Access
- 10 August 2026
- conference paper
- Published by Association for Computing Machinery (ACM)
- p. 189-201
Abstract
No abstract availableAll Related Versions
Funding Information
- National Science Foundation (2137100)
This publication has 50 references indexed in Scilit:
- Insights from the Frontline: GenAI Utilization Among Software Engineering Students2025
- Programming education and learner motivation in the age of generative AI: student and educator perspectivesInformation and Learning Sciences, 2024
- Situated Expectancy-Value Theory, Dimensions of Engagement, and Academic Outcomes2022
- One size fits all? What counts as quality practice in (reflexive) thematic analysis?Qualitative Research in Psychology, 2020
- From expectancy-value theory to situated expectancy-value theory: A developmental, social cognitive, and sociocultural perspective on motivationContemporary Educational Psychology, 2020
- Reflecting on reflexive thematic analysisQualitative Research in Sport, Exercise and Health, 2018
- Measuring cost: The forgotten component of expectancy-value theoryContemporary Educational Psychology, 2015
- Expectancy-Value-Cost Model of Motivation2015
- A 2 × 2 achievement goal framework.Journal of Personality and Social Psychology, 2001
- Expectancy–Value Theory of Achievement MotivationContemporary Educational Psychology, 2000