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Teaching – Instructional Materials
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 301 - 330 of 551
Breakable Machine: A K-12 Classroom Game for Transformative AI Literacy Through Spoofing and eXplainable AI (XAI)
Olli Hilke, Nicolas Pope, Juho Kahila, Henriikka Vartiainen, Teemu Roos, Tuomo Parkki, Matti Tedre. (08/2025). arXiv. http://arxiv.org/pdf/2508.14201v1
Translating the Force Concept Inventory in the age of AI
Marina Babayeva, Justin Dunlap, Marie Sn_tinov‡, Ralf Widenhorn. (08/2025). arXiv. http://arxiv.org/pdf/2508.13908v1
Teaching Introduction to Programming in the Times of AI: A Case Study of a Course Redesign
Nikolaos Avouris, Kyriakos Sgarbas, George Caridakis, Christos Sintoris. (08/2025). arXiv. http://arxiv.org/pdf/2508.06572v2
Developing a ChatGPT-Based Tool for Physics Experiment Teaching
Yifeng Liu, Min Li, Zhaojun Zhang, Youkang Fang, Meibao Qin. (08/2025). arXiv. http://arxiv.org/pdf/2508.13011v1
RPKT: Learning What You Don't Know - Recursive Prerequisite Knowledge Tracing in Conversational AI Tutors for Personalized Learning
Jinwen Tang, Qiming Guo, Zhicheng Tang. (08/2025). arXiv. http://arxiv.org/pdf/2508.11892v1
LEARN: A Story-Driven Layout-to-Image Generation Framework for STEM Instruction
Maoquan Zhang, Bisser Raytchev, Xiujuan Sun. (08/2025). arXiv. http://arxiv.org/pdf/2508.11153v1
From Misunderstandings To Learning Opportunities: Leveraging Generative AI In Discussion Forums To Support Student Learning
Stanislav Pozdniakov, Jonathan Brazil, Oleksandra Poquet, Stephan Krusche, Santiago Berrezueta-Guzman, Shazia Sadiq, Hassan Khosravi. (08/2025). arXiv. http://arxiv.org/pdf/2508.11150v1
Human-in-the-Loop Systems for Adaptive Learning Using Generative AI
Bhavishya Tarun, Haoze Du, Dinesh Kannan, Dr. Edward F. Gehringer. (08/2025). arXiv. http://arxiv.org/pdf/2508.11062v1
Next-Gen Education: Enhancing AI for Microlearning
Saha, S., Rahbari, F., Sadique, F., Velamakanni, S. K. C., Farooque, M., Rothwell, W. J.. (08/2025). arXiv. http://arxiv.org/pdf/2508.11704v1
Securing Educational LLMs: A Generalised Taxonomy of Attacks on LLMs and DREAD Risk Assessment
Farzana Zahid, Anjalika Sewwandi, Lee Brandon, Vimal Kumar, Roopak Sinha. (08/2025). arXiv. http://arxiv.org/pdf/2508.08629v1
Discerning Minds Or Generic Tutors? Evaluating Instructional Guidance Capabilities In Socratic LLMS
Ying Liu, Can Li, Ting Zhang, Mei Wang, Qiannan Zhu, Jian Li, Hua Huang. (08/2025). arXiv. http://arxiv.org/pdf/2508.06583v1
Building Effective Safety Guardrails in AI Education Tools
Hannah-Beth Clark, Laura Benton, Emma Searle, Margaux Dowland, Matthew Gregory, Will Gayne, John Roberts. (08/2025). arXiv. http://arxiv.org/pdf/2508.05360v1
From Answers to Questions: EQGBench for Evaluating LLMs' Educational Question Generation
Chengliang Zhou, Mei Wang, Ting Zhang, Qiannan Zhu, Jian Li, Hua Huang. (08/2025). arXiv. http://arxiv.org/pdf/2508.10005v1
When AIs Judge AIs: The Rise of Agent-as-a-Judge Evaluation for LLMs
Fangyi Yu. (08/2025). arXiv. http://arxiv.org/pdf/2508.02994v1
What counts as evidence in AI & ED: Towards Science-for-Policy 3.0
Ilkka Tuomi. (08/2025). European Journal of Education Policy and Practice. https://www.aup-online.com/content/journals/10.5117/EJEP2025.1.001.TUOM
Generative AI Adoption in Postsecondary Education, AI Hype, and ChatGPT's Launch
Isabel Pedersen. (08/2025). arXiv. http://arxiv.org/pdf/2508.01003v1
AI-Educational Development Loop (AI-EDL): A Conceptual Framework to Bridge Al Capabilities with Classical Educational Theories
Ning Yu, Jie Zhang, Sandeep Mitra, Rebecca Smith, Adam Rich. (08/2025). arXiv. http://arxiv.org/pdf/2508.00970v1
Transparent Adaptive Learning via Data-Centric Multimodal Explainable AI
MARYAM MOSLEH, MARIE DEVLIN, ELLIS SOLAIMAN. (08/2025). arXiv. http://arxiv.org/pdf/2508.00665v1
Decoding Instructional Dialogue: Human-AI Collaborative Analysis of Teacher Use of AI Tool at Scale
Alex Liu, Lief Esbenshade, Shawon Sarkar, Victor Tian, Zachary Zhang, Kevin He, Min Sun. (07/2025). arXiv. http://arxiv.org/pdf/2507.17985v2
A Comprehensive Review of AI-based Intelligent Tutoring Systems: Applications and Challenges
Meriem Zerkouk, Miloud Mihoubi, Belkacem Chikhaoui. (07/2025). arXiv. http://arxiv.org/pdf/2507.18882v1
AI + LEARNING DIFFERENCES: Designing a Future with No Boundaries
Nneka J. McGee, Elizabeth Kozleski, Christopher J. Lemons, Isabelle C. Hau. (07/2025). Stanford Accelerator for Learning. https://acceleratelearning.stanford.edu/app/uploads/2025/07/AI-Learning-Differe…
EduThink4AI: Translating Educational Critical Thinking into Multi-Agent LLM Systems
Xinmeng Hou, Zhouquan Lu, Wenli Chen, Hai Hu, Qing Guo. (07/2025). arXiv. http://arxiv.org/pdf/2507.15015v1
Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning
Tosin Adewumi, Foteini Simistira Liwicki, Marcus Liwicki, Viktor Gardelli, Lama Alkhaled, Hamam Mokayed. (07/2025). arXiv. http://arxiv.org/pdf/2507.12079v1
Mitigating Trojanized Prompt Chains In Educational Llm Use Cases: Experimental Findings and Detection Tool Design
Richard M. Charles, Ph.D, James H. Curry, Ph.D, Richard B. Charles. (07/2025). arXiv. http://arxiv.org/pdf/2507.14207v1
AI-Powered Math Tutoring: Platform for Personalized and Adaptive Education
Jaros_aw A. Chudziak, Adam Kostka. (07/2025). arXiv. http://arxiv.org/pdf/2507.12484v1
SimStep: Chain-of-Abstractions for Incremental Specification and Debugging of AI-Generated Interactive Simulations
Zoe Kaputa, Anika Rajaram, Vryan Almanon Feliciano, Zhuoyue Lyu, Maneesh Agrawala, Hari Subramonyam. (07/2025). arXiv. http://arxiv.org/pdf/2507.09664v1
Do AI tutors empower or enslave learners? Toward a critical use of AI in education
Lucile Favero, Juan Antonio PŽrez-Ortiz, Tanja K‡sser and Nuria Oliver. (07/2025). arXiv. http://arxiv.org/pdf/2507.06878v1
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
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
