ChatGPT / OpenAI GPT

Studies tagged with AI from their full text or abstract; see each study for details.

Showing 961 - 990 of 1083 studies

ChatGPT-generated help produces learning gains equivalent to human tutor-authored help on mathematics skills

Zachary A. Pardos, Shreya Bhandari. (05/2024). PLOS ONE. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0304013
The AI Collaborator: Bridging Human-Ai Interaction In Educational And Professional Settings

Mohammad Amin Samadi, Spencer JaQuay, Nia Nixon, Jing Gu. (05/2024). arXiv. http://arxiv.org/pdf/2405.10460v1
The Role of Al in Peer Support for Young People: A Study of Preferences for Human- and Al-Generated Responses

Jordyn Young, Laala M Jawara, Diep N Nguyen, Brian Daly, Jina Huh-Yoo, Afsaneh Razi. (05/2024). arXiv. http://arxiv.org/pdf/2405.02711v1
Large Language Models for In-Context Student Modeling: Synthesizing Student's Behavior in Visual Programming

Manh Hung Nguyen, Sebastian Tschiatschek, Adish Singla. (05/2024). arXiv. http://arxiv.org/pdf/2310.10690v3
Capabilities of Gemini Models in Medicine

Khaled Saab, Tao Tu, Wei-Hung Weng, Ryutaro Tanno, David Stutz, Ellery Wulczyn, Fan Zhang, Tim Strother, Chunjong Park, Elahe Vedadi, Juanma Zambrano Chaves, Szu-Yeu Hu, Mike Schaekermann, Aishwarya Kamath, Yong Cheng, David G.T. Barrett, Cathy Cheung, Basil Mustafa, Anil Palepu, Daniel McDuff, Le Hou, Tomer Golany, Luyang Liu, Jean-baptiste Alayrac, Neil Houlsby, Nenad Tomasev, Jan Freyberg, Charles Lau, Jonas Kemp, Jeremy Lai, Shekoofeh Azizi, Kimberly Kanada, SiWai Man, Kavita Kulkarni, Ruoxi Sun, Siamak Shakeri, Luheng He, Ben Caine, Albert Webson, Natasha Latysheva, Melvin Johnson, Philip Mansfield, Jian Lu, Ehud Rivlin, Jesper Anderson, Bradley Green, Renee Wong, Jonathan Krause, Jonathon Shlens, Ewa Dominowska, S. M. Ali Eslami, Katherine Chou, Claire Cui, Oriol Vinyals, Koray Kavukcuoglu, James Manyika, Jeff Dean, Demis Hassabis, Yossi Matias, Dale Webster, Joelle Barral, Greg Corrado, Christopher Semturs, S. Sara Mahdavi, Juraj Gottweis, Alan Karthikesalingam, Vivek Natarajan. (05/2024). arXiv. http://arxiv.org/pdf/2404.18416v2
Developing generative AI chatbots conceptual framework for higher education

Joshua Ebere Chukwuere. (05/2024). arXiv. https://arxiv.org/pdf/2403.19303
Pros and Cons of Artificial Intelligence-ChatGPT Adoption in Education Settings: A Literature Review and Future Research Agendas

Idria Maita, Saide Saide, Afifah Mesha Putri, Didi Muwardi. (04/2024). IEEE. https://ieeexplore.ieee.org/document/10510580
Clue-Instruct: Text-Based Clue Generation for Educational Crossword Puzzles

Andrea Zugarini, Kamyar Zeinalipour, Surya Sai Kadali, Marco Maggini, Marco Gori, Leonardo Rigutini. (04/2024). arXiv. http://arxiv.org/pdf/2404.06186v1
AI and Machine Learning for Next Generation Science Assessments

Xiaoming Zhai. (04/2024). arXiv. http://arxiv.org/pdf/2405.06660v1
Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges

Qingyao Li, Lingyue Fu, Weiming Zhang, Xianyu Chen, Jingwei Yu, Wei Xia, Weinan Zhang, Ruiming Tang, Yong Yu. (04/2024). arXiv. http://arxiv.org/pdf/2401.08664v3
App Planner: Utilizing Generative AI in K-12 Mobile App Development Education

David Kim, Prerna Ravi, Randi Williams, Daeun Yoo. (04/2024). arXiv. https://arxiv.org/pdf/2401.15182
Bridging the Novice-Expert Gap via Models of Decision-Making: A Case Study on Remediating Math Mistakes

Rose Wang, Qingyang Zhang, Carly D. Robinson, Susanna Loeb, Dorottya Demszky. (04/2024). arXiv. http://arxiv.org/pdf/2310.10648v3
AI AND PERSONALIZED LEARNING: BRIDGING THE GAP WITH MODERN EDUCATIONAL GOALS

Kristjan-Julius Laak, Jaan Aru. (04/2024). arXiv. https://arxiv.org/pdf/2404.02798
Designing Child-Centric AI Learning Environments: Insights from LLM-Enhanced Creative Project-Based Learning

Siyu Zha, Yuehan Qiao, Qingyu Hua, Zhongsheng Li, Jiangtao Gong, Yingqing XU. (04/2024). arXiv. http://arxiv.org/pdf/2403.16159v2
The GPT Surprise: Offering Large Language Model Chat in a Massive Coding Class Reduced Engagement but Increased Adopters' Exam Performances

Allen Nie, Yash Chandak, Miroslav Suzara, Ali Malik, Juliette Woodrow, Matt Peng, Mehran Sahami, Emma Brunskill, Chris Piech. (04/2024). MyIDEAS. https://ideas.repec.org/p/osf/osfxxx/qy8zd.html
The Evolution of Learning: Assessing the Transformative Impact of Generative AI on Higher Education

Stefanie Krause, Bhumi Hitesh Panchal, Nikhil Ubhel. (04/2024). arXiv. https://arxiv.org/pdf/2404.10551
The AI Companion in Education: Analyzing the Pedagogical Potential of ChatGPT in Computer Science and Engineering

Zhangying He, Mehrdad Aliasgari, Thomas Nguyen, Setareh Rafatirad, Tahereh Miari, Hossein Sayadi. (04/2024). arXiv. https://arxiv.org/pdf/2407.05205
Can Autograding of Student-Generated Questions Quality by ChatGPT Match Human Experts?

Kangkang Li, Qian Yang, Xianmin Yang. (04/2024). IEEE. https://ieeexplore.ieee.org/document/10510637
Large Language Models for Education: A Survey and Outlook

Shen Wang, Tianlong Xu, Hang Li, Chaoli Zhang, Joleen Liang, Jiliang Tang, Philip S. Yu, Qingsong Wen. (04/2024). arXiv. http://arxiv.org/pdf/2403.18105v2
Exploring How Multiple Levels of GPT-Generated Programming Hints Support or Disappoint Novices

Ruiwei Xiao, Xinying Hou, John Stamper. (04/2024). arXiv. http://arxiv.org/pdf/2404.02213v1
Large Language Models As MOOCs Graders

Shahriar Golchin, Nikhil Garuda, Christopher Impey, Matthew Wenger. (03/2024). arXiv. http://arxiv.org/pdf/2402.03776v4
From Guidelines to Governance: A Study of AI Policies in Education

Aashish Ghimire, John Edwards. (03/2024). arXiv. https://arxiv.org/pdf/2403.15601
Enhancing Instructional Quality: Leveraging Computer-Assisted Textual Analysis to Generate In-Depth Insights from Educational Artifacts

Zewei Tian, Min Sun, Alex Liu, Shawon Sarkar, Jing Liu. (03/2024). arXiv. http://arxiv.org/pdf/2403.03920v1
Generative AI in Education: A Study of Educators' Awareness, Sentiments, and Influencing Factors

Aashish Ghimire, James Prather, John Edwards. (03/2024). arXiv. https://arxiv.org/pdf/2403.15586
"Like a Nesting Doll": Analyzing Recursion Analogies Generated by CS Students using Large Language Models

Seth Bernstein, Paul Denny, Juho Leinonen, Lauren Kan, Arto Hellas, Matt Littlefield, Sami Sarsa, Stephen MacNeil. (03/2024). arXiv. http://arxiv.org/pdf/2403.09409v1
Teach AI How to Code: Using Large Language Models as Teachable Agents for Programming Education

Hyoungwook Jin, Seonghee Lee, Hyungyu Shin, Juho Kim. (03/2024). arXiv. http://arxiv.org/pdf/2309.14534v3
Knowledge Graphs as Context Sources for LLM-Based Explanations of Learning Recommendations*

Hasan Abu-Rasheed, Christian Weber, Madjid Fathi. (03/2024). arXiv. http://arxiv.org/pdf/2403.03008v1
The future of generative AI chatbots in higher education

Joshua Ebere Chukwuere. (03/2024). arXiv. https://arxiv.org/pdf/2403.13487
AGI: Artificial General Intelligence for Education

Ehsan Latif, Gengchen Mai, Matthew Nyaaba, Xuansheng Wu, Ninghao Liu, Guoyu Lu, Sheng Li, Tianming Liu, Xiaoming Zhai. (03/2024). arXiv. http://arxiv.org/pdf/2304.12479v5
Developing and Deploying Industry Standards for Artificial Intelligence in Education (AIED): Challenges, Strategies, and Future Directions

Richard Tong, Haoyang Li, Joleen Liang, Qingsong Wen. (03/2024). arXiv. http://arxiv.org/pdf/2403.14689v2