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Learning – Student Support
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 661 - 690 of 1012
Understanding The Impacts Of Generative Ai Use On Children
Hashem, Y., Esnaashari, S., Onslow, K., Chakraborty, S., Poletaev, A., Francis, J., Bright, J. (2025).. (07/2025). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5327241
Conversational Education at Scale: A Multi-LLM Agent Workflow for Procedural Learning and Pedagogic Quality Assessment
Jiahuan Pei, Fanghua Ye, Xin Sun, Wentao Deng, Koen Hindriks, Junxiao Wang. (07/2025). arXiv. http://arxiv.org/pdf/2507.05528v1
Narrowing the Gap: Supervised Fine-Tuning of Open-Source LLMs as a Viable Alternative to Proprietary Models for Pedagogical Tools
Lorenzo Lee Solano, Charles Koutcheme, Juho Leinonen, Alexandra Vassar, Jake Renzella. (07/2025). arXiv. http://arxiv.org/pdf/2507.05305v1
Do Students Write Better Post-AI Support? Effects of Generative AI Literacy and Chatbot Interaction Strategies on Multimodal Academic Writing
Yueqiao Jin, Kaixun Yang, Roberto Martinez-Maldonado, Dragan Ga_evi_, Lixiang Yan. (07/2025). arXiv. http://arxiv.org/pdf/2507.04398v1
From Query to Explanation: Uni-RAG for Multi-Modal Retrieval-Augmented Learning in STEM
Xinyi Wu, Yanhao Jia, Luwei Xiao, Shuai Zhao, Fengkuang Chiang, Erik Cambria. (07/2025). arXiv. http://arxiv.org/pdf/2507.03868v1
Computer Science Education in the Age of Generative AI
Russell Beale. (07/2025). arXiv. http://arxiv.org/pdf/2507.02183v1
Text Production and Comprehension by Human and Artificial Intelligence: Interdisciplinary Workshop Report
Patrick Bolger, Morten H. Christiansen, Bill Cope, Pablo Contreras Kallens, Mary Kalantzis, Kyle Mahowald, Martin Pickering, Michael Ramscar, Alina Reznitskaya, Leila Wehbe, Wei Xu, Evgeny Chukharev, Emily Dux Speltz, Mark Torrance, Kimberly Becker, Phuong Nguyen, Dan Song. (07/2025). arXiv. http://arxiv.org/pdf/2506.22698v2
The Impact of AI on Educational Assessment: A Framework for Constructive Alignment
Patrick Stokkink. (07/2025). arXiv. http://arxiv.org/pdf/2506.23815v2
ChatGPT produces more “lazy” thinkers: Evidence of cognitive engagement decline
Georgios P. Georgiou. (06/2025). arXiv. http://arxiv.org/pdf/2507.00181v1
Computer Vision for Objects used in Group Work: Challenges and Opportunities
Changsoo Jung, Sheikh Mannan, Jack Fitzgerald, Nathaniel Blanchard. (06/2025). arXiv. http://arxiv.org/pdf/2507.00224v1
Designing an Adaptive Storytelling Platform to Promote Civic Education in Politically Polarized Learning Environments
Christopher M. Wegemer, Edward Halim, Jeff Burke. (06/2025). arXiv. http://arxiv.org/pdf/2507.00161v1
Improving Student-AI Interaction Through Pedagogical Prompting: An Example in Computer Science Education
Ruiwei Xiao, Xinying Hou, Runlong Ye, Majeed Kazemitabaar, Nicholas Diana, Michael Liut, John Stamper. (06/2025). arXiv. http://arxiv.org/pdf/2506.19107v2
FEAT: A Preference Feedback Dataset through a Cost-Effective Auto-Generation and Labeling Framework for English AI Tutoring
Hyein Seo, Taewook Hwang, Yohan Lee, Sangkeun Jung. (06/2025). arXiv. http://arxiv.org/pdf/2506.19325v2
Exploring Artificial Intelligence Tutor Teammate Adaptability to Harness Discovery Curiosity and Promote Learning in the Context of Interactive Molecular Dynamics
Mustafa Demir, Jacob Miratsky, Jonathan Nguyen, Chun Kit Chan, Punya Mishra, Abhishek Singharoy. (06/2025). arXiv. http://arxiv.org/pdf/2506.22520v1
Using Generative AI in Software Design Education: An Experience Report
Victoria Jackson, Susannah Liu, Andre van der Hoek. (06/2025). arXiv. http://arxiv.org/pdf/2506.21703v1
That's Not the Feedback I Need! - Student Engagement with GenAI Feedback in the Tutor Kai
Sven Jacobs, Maurice Kempf, Natalie Kiesler. (06/2025). arXiv. http://arxiv.org/pdf/2506.20433v2
CogGen: A Learner-Centered Generative AI Architecture for Intelligent Tutoring with Programming Videos
Wengxi Li, Roy Pea, Nick Haber, Hariharan Subramonyam. (06/2025). arXiv. http://arxiv.org/pdf/2506.20600v1
Confucius3-Math: A Lightweight High-Performance Reasoning LLM for Chinese K-12 Mathematics Learning
Lixin Wu, Na Cai, Qiao Cheng, Jiachen Wang, Yitao Duan. (06/2025). arXiv. http://arxiv.org/pdf/2506.18330v2
How trust networks shape students' opinions about the proficiency of artificially intelligent assistants
Yutong Bu, Andrew Melatos, Robin Evans. (06/2025). arXiv. http://arxiv.org/pdf/2506.19655v1
Dialogic Pedagogy for Large Language Models: Aligning Conversational AI with Proven Theories of Learning
Russell Beale. (06/2025). arXiV. https://arxiv.org/abs/2506.19484
Can theory-driven learning analytics dashboard enhance human-AI collaboration in writing learning? Insights from an empirical experiment
Angxuan Chen, Jingjing Lian, Xinran Kuang, Jiyou Jia. (06/2025). arXiv. http://arxiv.org/pdf/2506.19364v1
"How can we learn and use Al at the same time?": Participatory Design of GenAl with High School Students
Isabella Pu, Prerna Ravi, Linh Dieu Dinh, Chelsea Joe, Caitlin Ogoe, Zixuan Li, Cynthia Breazeal, Anastasia K. Ostrowski. (06/2025). arXiv. http://arxiv.org/pdf/2506.15525v2
CoachGPT: A Scaffolding-based Academic Writing Assistant
Fumian Chen, Sotheara Veng, Joshua Wilson, Xiaoming Li, Hui Fang. (06/2025). arXiv. http://arxiv.org/pdf/2506.18149v1
Deciphering Emotions In Children Storybooks: A Comparative Analysis Of Multimodal Llms In Educational Applications
Bushra Asseri, Estabraq Abdelaziz, Maha Al Mogren, Tayef Alhefdhi, Areej Al-Wabil. (06/2025). arXiv. http://arxiv.org/pdf/2506.18201v1
Exploring the Usage of Generative AI for Group Project-Based Offline Art Courses in Elementary Schools
Zhiqing Wang, Haoxiang Fan, Shiwei Wu, Qiaoyi Chen, Yongqi Liang, Zhenhui Peng. (06/2025). arXiv. http://arxiv.org/pdf/2506.16874v1
A Large-Scale Real-World Evaluation of an LLM-Based Virtual Teaching Assistant
Sunjun Kweon, Sooyohn Nam, Hyunseung Lim, Hwajung Hong, Edward Choi. (06/2025). arXiv. http://arxiv.org/pdf/2506.17363v1
From Generation to Adaptation: Comparing AI-Assisted Strategies in High School Programming Education
Tong Hua, Songzan Wang. (06/2025). arXiv. http://arxiv.org/pdf/2506.15955v1
Students' Reliance on AI in Higher Education: Identifying Contributing Factors
Griffin Pitts, Neha Rani, Weedguet Mildort, Eva-Marie Cook. (06/2025). arXiv. http://arxiv.org/pdf/2506.13845v1
