ChatGPT and Its Educational Impact: Insights from a Software Development Competition
Sunhee Hwang, Yudoo Kim, Heejin Lee

TL;DR
This paper investigates how ChatGPT integration in a student software development competition improves project outcomes, learning experiences, and satisfaction, demonstrating its potential to transform educational practices.
Contribution
It presents the first empirical evaluation of ChatGPT's impact on student project performance and learning in a competitive educational setting.
Findings
Students using ChatGPT achieved higher project scores.
ChatGPT use correlated with increased project completion rates.
Participants reported high satisfaction with ChatGPT's role in learning.
Abstract
This study explores the integration and impact of ChatGPT, a generative AI that utilizes natural language processing, in an educational environment. The main goal is to evaluate how ChatGPT affects project performance. To this end, we organize a software development competition utilizing ChatGPT, lasting for four weeks and involving 36 students. The competition is structured in two rounds: in the first round, all 36 students participate and are evaluated based on specific performance metrics such as code quality, innovation, and adherence to project requirements. The top 15 performers from the first round are then selected to advance to the second round, where they compete for the final rankings and the overall winner is determined. The competition shows that students who use ChatGPT extensively in various stages of development, including ideation, documentation, software development,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsArtificial Intelligence in Healthcare and Education · Online Learning and Analytics
