Learning – Student Support
Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 601 - 630 of 682
Design and implementation of an Al-enabled visual report tool as formative assessment to promote learning achievement and self-regulated learning: An experimental study
Xiaofang Liao, Xuedi Zhang, Zhifeng Wang, Heng Luo. (01/2024). BJET. https://bera-journals.onlinelibrary.wiley.com/doi/abs/10.1111/bjet.13424
Interactions with Prompt Problems: A New Way to Teach Programming with Large Language Models
James Prather, Paul Denny, Juho Leinonen, David H. Smith IV, Brent N. Reeves, Stephen MacNeil, Brett A. Becker, Andrew Luxton-Reilly, Thezyrie Amarouche, Bailey Kimmel. (01/2024). arXiv. http://arxiv.org/pdf/2401.10759v1
Generative AI and Its Educational Implications
Kacper Lodzikowski, Peter W. Foltz, John T. Behrens. (01/2024). arXiv. https://arxiv.org/pdf/2401.08659
Loneliness and suicide mitigation for students using GPT3-enabled chatbots
Bethanie Maples, Merve Cerit, Aditya Vishwanath, Roy Pea. (01/2024). Nature. https://www.nature.com/articles/s44184-023-00047-6
Applications, challenges and ethical issues of AI and ChatGPT in education
Dimitrios Sidiropoulos, Christos-Nikolaos Anagnostopoulos. (01/2024). arXiv. https://arxiv.org/pdf/2402.07907
Using ChatGPT for Science Learning: A Study on Pre-service Teachers' Lesson Planning
Gyeong-Geon Lee, Xiaoming Zhai. (01/2024). arXiv. http://arxiv.org/pdf/2402.01674v1
Foundation Models in Augmentative and Alternative Communication: Opportunities and Challenges
Ambra Di Paola, Serena Muraro, Roberto Marinelli, Christian Pilato. (01/2024). arXiv. http://arxiv.org/pdf/2401.08866v1
Build Your Own Robot Friend: An Open-Source Learning Module for Accessible and Engaging AI Education
Zhonghao Shi, Allison O'Connell, Zongjian Li, Siqi Liu, Jennifer Ayissi, Guy Hoffman, Mohammad Soleymani, Maja Mataric. (01/2024). arXiv. http://arxiv.org/pdf/2402.01647v1
Catalyzing Equity in STEM Teams: Harnessing Generative AI for Inclusion and Diversity
Nia Nixon, Yiwen Lin & Lauren Snow. (01/2024). arXiv. http://arxiv.org/pdf/2402.00037v1
Understanding Teacher Perspectives and Experiences After Deployment Of Ai Literacy Curriculum In Middle-School Classrooms
Prerna Ravi, Annalisa Broski, Glenda Stump, Hal Abelson, Eric Klopfer, Cynthia Breazeal. (12/2023). arXiv. https://arxiv.org/pdf/2312.04839
Challenges and Opportunities of Moderating Usage of Large Language Models in Education
Lars Krupp, Steffen Steinert, Maximilian Kiefer-Emmanouilidis, Karina E. Avila, Paul Lukowicz, Jochen Kuhn, Stefan KŸchemann, Jakob Karolus. (12/2023). arXiv. http://arxiv.org/pdf/2312.14969v1
Generative AI in the Classroom: Can Students Remain Active Learners?
Rania Abdelghani, Helene Sauzeon, Pierre-Yves Oudeyer. (11/2023). arXiv. http://arxiv.org/pdf/2310.03192v2
Math Education With Large Language Models: Peril or Promise?
Harsh Kumar, David M. Rothschild, Daniel G. Goldstein, Jake M. Hofman. (11/2023). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4641653
Revolutionizing Customer Interactions: Insights and Challenges in Deploying ChatGPT and Generative Chatbots for FAQs
Feriel Khennouche, Youssef Elmira, Nabil Djebari, Yassine Himeur, Abbes Amira. (11/2023). arXiv. http://arxiv.org/pdf/2311.09976v1
Retrieval-augmented Generation to Improve Math Question-Answering: Trade-offs Between Groundedness and Human Preference
Zachary Levonian, Chenglu Li, Wangda Zhu, Anoushka Gade, Owen Henkel, Millie-Ellen Postle, Wanli Xing. (11/2023). arXiv. http://arxiv.org/pdf/2310.03184v2
Exploring User Perspectives on ChatGPT: Applications, Perceptions, and Implications for AI-Integrated Education
Reza Hadi Mogavi, Chao Deng, Justin Juho Kim, Pengyuan Zhou, Young D. Kwon, Ahmed Hosny Saleh Metwally, Ahmed Tlili, Simone Bassanelli, Antonio Bucchiarone, Sujit Gujar, Lennart E. Nacke, Pan Hui. (11/2023). arXiv. https://arxiv.org/pdf/2305.13114
White Paper: The Generative Education (GenEd) Framework Empowering Educators as AI-Enhanced Mentors
Daniel Leiker. (11/2023). arXiv. http://arxiv.org/pdf/2311.10732v2
More Robots are Coming: Large Multimodal Models (ChatGPT) can Solve Visually Diverse Images of Parsons Problems
Irene Y. Hou, Owen Man, Sophia Mettille, Sebastian Gutierrez, Kenneth Angelikas, Stephen MacNeil. (11/2023). arXiv. http://arxiv.org/pdf/2311.04926v1
The Robots are Here: Navigating the Generative AI Revolution in Computing Education
James Prather, Paul Denny, Juho Leinonen, Brett A. Becker, Ibrahim Albluwi, Michelle Craig, Hieke Keuning, Natalie Kiesler, Tobias Kohn, Andrew Luxton-Reilly, Stephen MacNeil, Andrew Petersen, Raymond Pettit, Brent N. Reeves, Jaromir Savelka. (10/2023). arXiv. http://arxiv.org/pdf/2310.00658v1
New Era of Artificial Intelligence In Education: Towards A Sustainable Multifaceted Revolution
Firuz Kamalov, David Santandreu Calonge, Ikhlaas Gurrib. (10/2023). arXiv. http://arxiv.org/pdf/2305.18303v2
Designing a Realistic Peer-like Embodied Conversational Agent for Supporting Children's Storytelling
Zhixin Li, Ying Xu. (09/2023). arXiv. http://arxiv.org/pdf/2304.09399v3
With ChatGPT, do we have to rewrite our learning objectives - CASE study in Cybersecurity
Peter Jamieson, Suman Bhunia, Dhananjai M. Rao. (09/2023). arXiv. http://arxiv.org/pdf/2311.06261v1
More than Model Documentation: Uncovering Teachers' Bespoke Information Needs for Informed Classroom Integration of ChatGPT
Mei Tan, Hariharan Subramonyam. (09/2023). arXiv. http://arxiv.org/pdf/2309.14458v1
Data-Driven Artificial Intelligence in Education: A Comprehensive Review
Kashif Ahmad, Waleed Iqbal, Ammar El-Hassan, Junaid Qadir, Driss Benhaddou, Moussa Ayyash, Ala Al-Fuqaha. (09/2023). IEEE. https://ieeexplore.ieee.org/document/10247566
ChatGPT-4 with Code Interpreter can be used to solve introductory college-level vector calculus and electromagnetism problems
Tanuj Kumar, Mikhail A. Kats. (09/2023). arXiv. http://arxiv.org/pdf/2309.08881v1
Application of ChatGPT in Higher Education and Research - A Futuristic Analysis
P. S. Aithal, Shubhrajyosna Aithal. (09/2023). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4674364
Implementing Learning Principles with a Personal AI Tutor: A Case Study
Ambroise Baillifard, Maxime Gabella, Pamela Banta Lavenex, Corinna S. Martarelli. (09/2023). arXiv. http://arxiv.org/pdf/2309.13060v1
How Novices Use LLM-Based Code Generators to Solve CS1 Coding Tasks in a Self-Paced Learning Environment
Majeed Kazemitabaar, Xinying Hou, Austin Henley, Barbara J. Ericson, David Weintrop, Tovi Grossman. (09/2023). arXiv. http://arxiv.org/pdf/2309.14049v1
Generativism: the new hybrid
B. Mairead Pratschke. (09/2023). arXiv. http://arxiv.org/pdf/2309.12468v1
