Teaching – Instructional Materials
Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 121 - 150 of 459
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
How Physics Professors Use And Frame Generative Ai Tools
Vidar Skogvoll, Tor Ole Odden. (11/2025). arXiv. https://arxiv.org/abs/2511.11317v1
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
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
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
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
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
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
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
Improving Human Verification Of Llm Reasoning Through Interactive Explanation Interfaces
Runtao Zhou, Anh Totti Nguyen, Giang Nguyen, Nikita Kharya, Chirag Agarwal. (10/2025). arXiv. https://arxiv.org/abs/2510.22922v2
A Systematic Literature Review Of The Use Of Genai Assistants For Code Comprehension: Implications For Computing Education Research And Practice
Yunhan Qiao, Md Istiak Hossain Shihab, Christopher Hundhausen. (10/2025). arXiv. https://arxiv.org/abs/2510.17894v2
Building Ai Literacy At Home: How Families Navigate Children'S Self-Directed Learning With Ai
Jingyi Xie, Chuhao Wu, Ge Wang, Rui Yu, He Zhang, Ronald Metoyer, Si Chen. (10/2025). arXiv. https://arxiv.org/abs/2510.24070v1
Education Paradigm Shift To Maintain Human Competitive Advantage Over Ai
Stanislav Selitskiy, Chihiro Inoue. (10/2025). arXiv. https://arxiv.org/abs/2510.23436v1
Evaluating Ai-Powered Learning Assistants In Engineering Higher Education: Student Engagement, Ethical Challenges, And Policy Implications
Ramteja Sajja, Yusuf Sermet, Brian Fodale, Ibrahim Demir. (10/2025). arXiv. https://arxiv.org/abs/2506.05699v2
"Learning Together": Ai-Mediated Support For Parental Involvement In Everyday Learning
Yao Li, Jingyi Xie, Ya-Fang Lin, He Zhang, Ge Wang, Gaojian Huang, Rui Yu, Si Chen. (10/2025). arXiv. https://arxiv.org/abs/2510.20123v2
Multi-Stakeholder Alignment In Llm-Powered Collaborative Ai Systems: A Multi-Agent Framework For Intelligent Tutoring
Alexandre P Uchoa, Carlo ET Oliveira, Claudia L R Motta, Daniel Schneider. (10/2025). arXiv. https://arxiv.org/abs/2510.23245v1
Ai & Data Competencies: Scaffolding Holistic Ai Literacy In Higher Education
Kathleen Kennedy & Anuj Gupta. (10/2025). arXiv. https://arxiv.org/abs/2510.24783v1
Towards Ai Agents For Course Instruction In Higher Education: Early Experiences From The Field
Yogesh Simmhan, Varad Kulkarni. (10/2025). arXiv. http://arxiv.org/abs/2510.20255v1
