Teaching – Instructional Materials
Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 241 - 270 of 459
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
Teacher training in the age of AI: Impact on AI Literacy and Teachers' Attitudes
Julia Lademann, Jannik Henze, Nadine Honke, Caroline Wollny, Sebastian Becker-Genschow. (07/2025). arXiv. http://arxiv.org/pdf/2507.03011v1
Computer Science Education in the Age of Generative AI
Russell Beale. (07/2025). arXiv. http://arxiv.org/pdf/2507.02183v1
The Impact of AI on Educational Assessment: A Framework for Constructive Alignment
Patrick Stokkink. (07/2025). arXiv. http://arxiv.org/pdf/2506.23815v2
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
Benchmarking the Pedagogical Knowledge of Large Language Models
Maxime Lelievre, Amy Waldock, Meng Liu, Natalia Valdes Aspillaga, Alasdair Mackintosh, Mar’a JosŽ Ogando Portela, Jared Lee, Paul Atherton, Robin A. A. Ince, Oliver G. B. Garrod. (07/2025). arXiv. http://arxiv.org/pdf/2506.18710v3
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 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
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
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
Designing Effective LLM-Assisted Interfaces for Curriculum Development
Abdolali Faraji, Mohammadreza Tavakoli, Mohammad Moein, Mohammadreza Molavi, Gabor Kismihok. (06/2025). arXiv. http://arxiv.org/pdf/2506.11767v1
COGENT: A Curriculum-oriented Framework for Generating Grade-appropriate Educational Content
Zhengyuan Liu, Stella Xin Yin, Dion Hoe-Lian Goh, Nancy F. Chen. (06/2025). arXiv. http://arxiv.org/pdf/2506.09367v1
T-TEXTS (Teaching Text Expansion for Teacher Scaffolding): Enhancing Text Selection in High School Literature through Knowledge Graph-Based Recommendation
Nirmal Gelal, Chloe Snow, Ambyr Rios, Hande Kuuk McGinty. (06/2025). arXiv. http://arxiv.org/pdf/2506.12075v1
Small Models, Big Support: A Local LLM Framework For Teacher-Centric Content Creation And Assessment Using RAG and CAG
Zarreen Reza, Alexander Mazur, Michael T. Dugdale, Robin Ray-Chaudhuri. (06/2025). arXiv. http://arxiv.org/pdf/2506.05925v1
Generating Pedagogically Meaningful Visuals for Math Word Problems: A New Benchmark and Analysis of Text-to-Image Models
Junling Wang, Anna Rutkiewicz, April Yi Wang, Mrinmaya Sachan. (06/2025). arXiv. http://arxiv.org/pdf/2506.03735v1
Towards Generating Controllable and Solvable Geometry Problem by Leveraging Symbolic Deduction Engine
Zhuoxuan Jiang, Tianyang Zhang, Peiyan Peng, Jing Chen, Yinong Xun, Haotian Zhang, Lichi Li, Yong Li, Shaohua Zhang. (06/2025). arXiv. http://arxiv.org/pdf/2506.02565v1
A Practical Guide for Supporting Formative Assessment and Feedback Using Generative AI
Sapolnach Prompiengchai, Charith Narreddy, Steve Joordens. (06/2025). arXiv. http://arxiv.org/pdf/2505.23405v2
Encouraging Students' Responsible Use of GenAI in Software Engineering Education: A Causal Model and Two Institutional Applications
Vahid Garousi, Zafar Jafarov, Aytan Movsumova, Atif Namazov, Huseyn Mirzeyev. (05/2025). arXiv. http://arxiv.org/pdf/2506.00682v1
Where's the Line? A Classroom Activity on Ethical and Constructive Use of Generative AI in Physics
Zosia Krusberg. (05/2025). arXiv. http://arxiv.org/pdf/2506.00229v1
From EduVisBench to EduVisAgent: A Benchmark and Multi-Agent Framework for Reasoning-Driven Pedagogical Visualization
Haonian Ji, Shi Qiu, Siyang Xin, Siwei Han, Zhaorun Chen, Dake Zhang, Hongyi Wang, Huaxiu Yao. (05/2025). arXiv. http://arxiv.org/pdf/2505.16832v2
Integrating emotional intelligence, memory architecture, and gestures to achieve empathetic humanoid robot interaction in an educational setting
Fuze Sun, Lingyu Li, Shixiangyue Meng, Xiaoming Teng, Terry Payne, Paul Craig. (05/2025). arXiv. http://arxiv.org/pdf/2505.19803v1
Investigating Pedagogical Teacher and Student LLM Agents: Genetic Adaptation Meets Retrieval-Augmented Generation Across Learning Styles
Debdeep Sanyal, Agniva Maiti, Umakanta Maharana, Dhruv Kumar, Ankur Mali, C. Lee Giles, Murari Mandal. (05/2025). arXiv. http://arxiv.org/pdf/2505.19173v1
Automated Bias Assessment in AI-Generated Educational Content Using CEAT Framework
Jingyang Peng, Wenyuan Shen, Jiarui Rao, Jionghao Lin. (05/2025). arXiv. http://arxiv.org/pdf/2505.12718v1
From EduVisBench to EduVisAgent: A Benchmark and Multi-Agent Framework for Pedagogical Visualization
Haonian Ji, Shi Qiu, Siyang Xin, Siwei Han, Zhaorun Chen, Dake Zhang, Hongyi Wang, Huaxiu Yao. (05/2025). arXiv. http://arxiv.org/pdf/2505.16832v1
Pedagogy-R1: Pedagogically-Aligned Reasoning Model with Balanced Educational Benchmark
Unggi Lee, Jaeyong Lee, Jiyeong Bae, Yeil Jeong, Junbo Koh, Gyeonggeon Lee, Gunho Lee, Taekyung Ahn, Hyeoncheol Kim. (05/2025). arXiv. http://arxiv.org/pdf/2505.18467v1
From Recall to Reasoning: Automated Question Generation for Deeper Math Learning through Large Language Models
Yongan Yu, Alexandre Krantz, Nikki G. Lobczowski. (05/2025). arXiv. http://arxiv.org/pdf/2505.11899v1
LECTOR: Summarizing E-book Reading Content for Personalized Student Support
Erwin L—pez, Cheng Tang, Valdemar Sv‡bensky, Fumiya Okubo, Atsushi Shimada. (05/2025). arXiv. http://arxiv.org/pdf/2505.07898v1
