Integrating Generative AI in Hackathons: Opportunities, Challenges, and Educational Implications

Ramteja Sajja, Carlos Erazo Ramirez, Zhouyayan Li, Bekir Z. Demiray, Yusuf Sermet +1 more
1/30/2024
cs.CYcs.AIcs.HC

No confident code implementation found for this paper.

Abstract

Hackathons have emerged as pivotal platforms in the software industry, driving both innovation and skill development for organizations and students alike. These events enable companies to quickly prototype new ideas while offering students practical, hands-on learning experiences. Over time, hackathons have transitioned from purely competitive events to valuable educational tools, integrating theory with real-world problem-solving through collaboration between academia and industry. The infusion of artificial intelligence (AI) and machine learning is now reshaping hackathons, providing enhanced learning opportunities while also introducing ethical challenges. This study explores the influence of generative AI on students' technological choices, focusing on a case study from the 2023 University of Iowa Hackathon. The findings offer insights into AI's role in these events, its educational impact, and propose strategies for integrating such technologies in future hackathons, ensuring a balance between innovation, ethics, and educational value.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Cite this paper

@article{sajja2024integrating,
  title  = {Integrating Generative AI in Hackathons: Opportunities, Challenges, and Educational Implications},
  author = {Ramteja Sajja and Carlos Erazo Ramirez and Zhouyayan Li and Bekir Z. Demiray and Yusuf Sermet and Ibrahim Demir},
  year   = {2024},
  eprint = {2401.17434},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2401.17434v3}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2401.17434.svg)](https://codeofpaper.com/paper/2401.17434)

Discussion