Integrating Generative AI in Hackathons: Opportunities, Challenges, and Educational Implications DOI Creative Commons
Ramteja Sajja, Carlos Erazo Ramirez, Zhouyayan Li

и другие.

Big Data and Cognitive Computing, Год журнала: 2024, Номер 8(12), С. 188 - 188

Опубликована: Дек. 13, 2024

Hackathons have become essential in the software industry, fostering innovation and skill development for both organizations students. These events facilitate rapid prototyping companies while providing students with hands-on learning opportunities that bridge theory practice. Over time, hackathons evolved from competitive arenas into dynamic educational platforms, promoting collaboration between academia industry. The integration of artificial intelligence (AI) machine is transforming hackathons, enhancing experiences, introducing ethical considerations. This study examines impact generative AI tools on technological decision-making during 2023 University Iowa Hackathon. It analyzes how influences project efficiency, outcomes, collaboration, addressing challenges posed by its use. findings offer actionable insights strategies effectively integrating future balancing innovation, ethics, value.

Язык: Английский

AI and Education DOI
Tinka Singh, C. Kishor Kumar Reddy,

B. V. Ramana Murthy

и другие.

Advances in educational technologies and instructional design book series, Год журнала: 2024, Номер unknown, С. 131 - 160

Опубликована: Окт. 11, 2024

This chapter explores how Artificial Intelligence (AI) is revolutionizing education by transforming traditional learning methods into more personalized, efficient, and accessible experiences. It examines the historical evolution of educational technologies, highlights shift to AI-driven approaches, outlines key elements such as data-driven insights, interactive environments, personalized platforms, administrative task automation. The study discusses AI's advantages, including enhanced personalization, increased efficiency, improved accessibility, greater student engagement. also addresses challenges like data privacy, equity, teacher training, ethical concerns. Through practical case studies, paper offers insights effective AI implementations concludes with recommendations for future developments in education.

Язык: Английский

Процитировано

5
An Empirical Evaluation of Large Language Models on Consumer Health Questions DOI Creative Commons
Muhammad Abrar, Yusuf Sermet, İbrahim Demir

и другие.

BioMedInformatics, Год журнала: 2025, Номер 5(1), С. 12 - 12

Опубликована: Фев. 27, 2025

Background: Large Language Models (LLMs) have demonstrated strong performances in clinical question-answering (QA) benchmarks, yet their effectiveness addressing real-world consumer medical queries remains underexplored. This study evaluates the capabilities and limitations of LLMs answering health questions using MedRedQA dataset, which consists answers by verified experts from AskDocs subreddit. Methods: Five LLMs-GPT-4o mini, Llama 3.1-70B, Mistral-123B, Mistral-7B, Gemini-Flash were assessed a cross-evaluation framework. Each model generated responses to outputs evaluated every comparing them with expert responses. Human evaluation was used assess reliability models as evaluators. Results: GPT-4o mini achieved highest alignment according four out five models’ judges, while Mistral-7B scored lowest three judges. Overall, show low Conclusions: Current small or medium sized struggle provide accurate must be significantly improved.

Язык: Английский

Процитировано

0
Integrating Generative AI in Hackathons: Opportunities, Challenges, and Educational Implications DOI Creative Commons
Ramteja Sajja, Carlos Erazo Ramirez, Zhouyayan Li

и другие.

Big Data and Cognitive Computing, Год журнала: 2024, Номер 8(12), С. 188 - 188

Опубликована: Дек. 13, 2024

Hackathons have become essential in the software industry, fostering innovation and skill development for both organizations students. These events facilitate rapid prototyping companies while providing students with hands-on learning opportunities that bridge theory practice. Over time, hackathons evolved from competitive arenas into dynamic educational platforms, promoting collaboration between academia industry. The integration of artificial intelligence (AI) machine is transforming hackathons, enhancing experiences, introducing ethical considerations. This study examines impact generative AI tools on technological decision-making during 2023 University Iowa Hackathon. It analyzes how influences project efficiency, outcomes, collaboration, addressing challenges posed by its use. findings offer actionable insights strategies effectively integrating future balancing innovation, ethics, value.

Язык: Английский

Процитировано

2