Journal article
Integrating Generative AI in Hackathons: Opportunities, Challenges, and Educational Implications
Big data and cognitive computing, Vol.8(12), 188
12/01/2024
DOI: 10.3390/bdcc8120188
Abstract
Hackathons have become essential in the software industry, fostering innovation and skill development for both organizations and students. These events facilitate rapid prototyping for companies while providing students with hands-on learning opportunities that bridge theory and practice. Over time, hackathons have evolved from competitive arenas into dynamic educational platforms, promoting collaboration between academia and industry. The integration of artificial intelligence (AI) and machine learning is transforming hackathons, enhancing learning experiences, and introducing ethical considerations. This study examines the impact of generative AI tools on technological decision-making during the 2023 University of Iowa Hackathon. It analyzes how AI influences project efficiency, learning outcomes, and collaboration, while addressing the ethical challenges posed by its use. The findings offer actionable insights and strategies for effectively integrating AI into future hackathons, balancing innovation, ethics, and educational value.
Details
- Title: Subtitle
- Integrating Generative AI in Hackathons: Opportunities, Challenges, and Educational Implications
- Creators
- Ramteja Sajja - University of IowaCarlos Erazo Ramirez - University of IowaZhouyayan Li - University of Iowa, IIHR--Hydroscience and EngineeringBekir Demiray - University of IowaYusuf Sermet - University of IowaIbrahim Demir - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Big data and cognitive computing, Vol.8(12), 188
- DOI
- 10.3390/bdcc8120188
- ISSN
- 2504-2289
- eISSN
- 2504-2289
- Publisher
- MDPI AG
- Grant note
- National Oceanic & Atmospheric Administration (NOAA)National Science Foundation: 2230710
This project was funded by the National Oceanic & Atmospheric Administration (NOAA) via a cooperative agreement with The University of Alabama (NA22NWS4320003) awarded to the Cooperative Institute for Research to Operations in Hydrology (CIROH) as well as the National Science Foundation (#2230710).
- Language
- English
- Date published
- 12/01/2024
- Academic Unit
- Electrical and Computer Engineering; Civil and Environmental Engineering; IIHR--Hydroscience and Engineering; Injury Prevention Research Center
- Record Identifier
- 9984769789702771
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