Teaching – Instructional Materials
Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 61 - 90 of 409
Towards Synergistic Teacher-Ai Interactions With Generative Artificial Intelligence
Mutlu Cukurova, Wannapon Suraworachet, Qi Zhou, Sahan Bulathwela. (11/2025). arXiv. https://arxiv.org/abs/2511.19580v1
Exploring Families' Use And Mediation Of Generative Ai: A Multi-User Perspective
Shirley Zhang, Dakota Sullivan, Jennica Li, Bengisu Cagiltay, Bilge Mutlu, Heather Kirkorian, Kassem Fawaz. (11/2025). arXiv. https://arxiv.org/abs/2504.09004v3
Llms4All: A Review Of Large Language Models Across Academic Disciplines
Yanfang (Fanny) Ye, Zheyuan Zhang, Tianyi Ma, Zehong Wang, Yiyang Li, Shifu Hou, Weixiang Sun, Kaiwen Shi, Yijun Ma, Wei Song, Ahmed Abbasi, Ying Cheng, Jane Cleland-Huang, Steven Corcelli, Robert Goulding, Ming Hu, Ting Hua, John Lalor, Fang Liu, Tengfei Luo, Edward Maginn, Nuno Moniz, Jason Rohr, Brett Savoie, Daniel Slate, Matthew Webber, Olaf Wiest, Johnny Zhang, Nitesh V Chawla. (11/2025). arXiv. https://arxiv.org/abs/2509.19580v5
Musicair: A Multimodal Ai Music Generation Framework Powered By An Algorithm-Driven Core
Callie C. Liao, Duoduo Liao, Ellie L. Zhang. (11/2025). arXiv. https://arxiv.org/abs/2511.17323v1
Generative Ai And Power Imbalances In Global Education: Frameworks For Bias Mitigation
Matthew Nyaaba, Alyson Wright, Gyu Lim Choi. (11/2025). arXiv. https://arxiv.org/abs/2406.02966v4
Generative Ai As A Learning Buddy And A Teaching Assistant: Preservice Teachers' Use And Attitudes
Matthew Nyaaba, Lehong Shi, Macharious Nabang Patrick Kyeremeh, Xiaoming Zhai, Samuel Arthur Ayoberd, Bismark Nyaaba Akanzire. (11/2025). arXiv. https://arxiv.org/abs/2407.11983v2
Navigating The Ethical And Societal Impacts Of Generative Ai In Higher Computing Education
Janice Mak, Joyce Nakatumba-Nabende, Tony Clear, Alison Clear, Ibrahim Albluwi, Oana Andrei, Lorenzo Angeli, Stephen MacNeil, Solomon Sunday Oyelere, Matthew Hale Rattigan, Judy Sheard, Tingting Zhu. (11/2025). arXiv. https://arxiv.org/abs/2511.15768v1
A Framework For Developing University Policies On Generative Ai Governance: A Cross-National Comparative Study
Ming Li, Qin Xie, Ariunaa Enkhtur, Shuoyang Meng, Lilan Chen, Beverley Anne Yamamoto, Fei Cheng, Masayuki Murakami. (11/2025). arXiv. https://arxiv.org/abs/2504.02636v2
Explain With Visual Keypoints Like A Real Mentor! A Benchmark For Multimodal Solution Explanation
Jaewoo Park, Jungyang Park, Dongju Jang, Jiwan Chung, Byungwoo Yoo, Jaewoo Shin, Seonjoon Park, Taehyeong Kim, Youngjae Yu. (11/2025). arXiv. https://arxiv.org/abs/2504.03197v4
Small Models, Big Support: A Local Llm Framework For Educator-Centric Content Creation And Assessment With Rag And Cag
Zarreen Reza, Alexander Mazur, Michael T. Dugdale, Robin Ray-Chaudhuri. (11/2025). arXiv. https://arxiv.org/abs/2506.05925v2
Kgquest: Template-Driven Qa Generation From Knowledge Graphs With Llm-Based Refinement
Sania Nayab, Marco Simoni, Giulio Rossolini, Andrea Saracino. (11/2025). arXiv. https://arxiv.org/abs/2511.11258v1
How Physics Professors Use And Frame Generative Ai Tools
Vidar Skogvoll, Tor Ole Odden. (11/2025). arXiv. https://arxiv.org/abs/2511.11317v1
Bridging Lms And Generative Ai: Dynamic Course Content Integration (Dcci) For Enhancing Student Satisfaction And Engagement Via The Ask Me Assistant
Kovan Mzwri, M√°rta Turcs√°nyi-Szabo. (11/2025). arXiv. https://arxiv.org/abs/2504.03966v2
Autosynth: Automated Workflow Optimization For High-Quality Synthetic Dataset Generation Via Monte Carlo Tree Search
Shuzhen Bi, Chang Song, Siyu Song, Jinze Lv, Jian Chen, Xinyun Wang, Aimin Zhou, Hao Hao. (11/2025). arXiv. https://arxiv.org/abs/2511.09488v1
Uco: A Multi-Turn Interactive Reinforcement Learning Method For Adaptive Teaching With Large Language Models
Shouang Wei, Min Zhang, Xin Lin, Bo Jiang, Kun Kuang, Zhongxiang Dai. (11/2025). arXiv. https://arxiv.org/abs/2511.08873v1
Slidebot: A Multi-Agent Framework For Generating Informative, Reliable, Multi-Modal Presentations
Eric Xie, Danielle Waterfield, Michael Kennedy, Aidong Zhang. (11/2025). arXiv. https://arxiv.org/abs/2511.09804v1
Computational Blueprints: Generating Isomorphic Mathematics Problems With Large Language Models
Jeong-Hoon Kim, Jinwoo Nam, Geunsik Jo. (11/2025). arXiv. https://arxiv.org/abs/2511.07932v1
A Matter Of Interest: Understanding Interestingness Of Math Problems In Humans And Language Models
Shubhra Mishra, Yuka Machino, Gabriel Poesia, Albert Jiang, Joy Hsu, Adrian Weller, Challenger Mishra, David Broman, Joshua B. Tenenbaum, Mateja Jamnik, Cedegao E. Zhang, Katherine M. Collins. (11/2025). arXiv. https://arxiv.org/abs/2511.08548v1
Eduguardbench: A Holistic Benchmark For Evaluating The Pedagogical Fidelity And Adversarial Safety Of Llms As Simulated Teachers
Yilin Jiang, Mingzi Zhang, Xuanyu Yin, Sheng Jin, Suyu Lu, Zuocan Ying, Zengyi Yu, Xiangjie Kong. (11/2025). arXiv. https://arxiv.org/abs/2511.06890v1
Eduagentqg: A Multi-Agent Workflow Framework For Personalized Question Generation
Rui Jia, Min Zhang, Fengrui Liu, Bo Jiang, Kun Kuang, Zhongxiang Dai. (11/2025). arXiv. https://arxiv.org/abs/2511.11635v1
AI Literacy For Community Colleges: Instructors' Perspectives On Scenario-Based And Interactive Approaches To Teaching AI
Aparna Maya Warrier, Arav Agarwal, Jaromir Savelka, Christopher A Bogart, Heather Burte. (11/2025). arXiv. https://arxiv.org/abs/2511.05363v1
Artificial Intelligence In Elementary Stem Education: A Systematic Review Of Current Applications And Future Challenges
Majid Memari, Krista Ruggles. (11/2025). arXiv. https://arxiv.org/abs/2511.00105v2
Examining Student And Ai Generated Personalized Analogies In Introductory Physics
Amogh Sirnoorkar, Winter Allen, Syed Furqan Abbas Hashmi, N. Sanjay Rebello. (11/2025). arXiv. https://arxiv.org/abs/2511.04290v1
Physicseval: Inference-Time Techniques To Improve The Reasoning Proficiency Of Large Language Models On Physics Problems
Oshayer Siddique, J. M Areeb Uzair Alam, Md Jobayer Rahman Rafy, Syed Rifat Raiyan, Hasan Mahmud, Md Kamrul Hasan. (11/2025). arXiv. https://arxiv.org/abs/2508.00079v2
From Superficial Outputs To Superficial Learning: Risks Of Large Language Models In Education
IRIS DELIKOURA, YI R. (MAY) FUNG, PAN HUI. (11/2025). arXiv. https://arxiv.org/abs/2509.21972v2
Vibe Learning: Education In The Age Of Ai
Marcos Florencio, Francielle Prieto. (11/2025). arXiv. https://arxiv.org/abs/2511.01956v1
Fairaied: Navigating Fairness, Bias, And Ethics In Educational Ai Applications
Zhipeng Yin, Sribala Vidyadhari Chinta, Zichong Wang, Matthew Gonzalez, Wenbin Zhang. (11/2025). arXiv. https://arxiv.org/abs/2407.18745v2
Cognitively-Inspired Episodic Memory Architectures For Accurate And Efficient Character Ai
Rafael Arias Gonzalez and Steve DiPaola. (11/2025). arXiv. https://arxiv.org/abs/2511.10652v1
Transforming Higher Education With Ai-Powered Video Lectures
Dengsheng Zhang. (10/2025). arXiv. https://arxiv.org/abs/2511.20660v1
