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Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 121 - 150 of 246
DeliverC: Teaching Pointers through GenAI-Powered Game-Based Learning
Wyatt Petula, Anushcka Joshi, Peggy Tu, Amrutha Somasundar, Suman Saha. (09/2025). arXiv. http://arxiv.org/pdf/2509.14496v1
Gen AI In Proof-Based Math Courses: A Pilot Study
Hannah Klawa, Shraddha Rajpal, Cigole Thomas. (09/2025). arXiv. http://arxiv.org/pdf/2509.13570v1
A GPU-Accelerated RAG-Based Telegram Assistant for Supporting Parallel Processing Students
Guy Tel-Zur. (09/2025). arXiv. http://arxiv.org/pdf/2509.11947v1
Prompting the Professoriate: A Qualitative Study of Instructor Perspectives on LLMs in Data Science Education*
Ana Elisa Lopez-Miranda, Tiffany Timbers, Rohan Alexander. (09/2025). arXiv. http://arxiv.org/pdf/2509.12283v1
Bridging Cultural Distance Between Models Default and Local Classroom Demands: How Global Teachers Adopt GenAI to Support Everyday Teaching Practices
Ruiwei Xiao, Qing Xiao, Xinying Hou, Hanqi Jane Li, Phenyo Phemelo Moletsane, Hong Shen, John Stamper. (09/2025). arXiv. http://arxiv.org/pdf/2509.10780v1
Emerging Patterns of GenAI Use in K-12 Science and Mathematics Education
Lief Esbenshade, Shawon Sarkar, Drew Nucci, Ann Edwards, Sarah Nielsen, Joshua M. Rosenberg, Alex Liu, Zewei (Victor) Tian, Min Sun, Zachary Zhang, Thomas Han, Yulia Lapicus, Kevin He. (09/2025). arXiv. http://arxiv.org/pdf/2509.10747v1
GenAI Voice Mode in Programming Education
Sven Jacobs, Natalie Kiesler. (09/2025). arXiv. http://arxiv.org/pdf/2509.10596v1
Machine Unlearning for Responsible and Adaptive AI in Education
Betty Mayeku, Sandra Hummel, Parisa Memarmoshrefi. (09/2025). arXiv. http://arxiv.org/pdf/2509.10590v1
YouthSafe: A Youth-Centric Safety Benchmark and Safeguard Model for Large Language Models
Yaman Yu, Yiren Liu, Jacky Zhang, Yun Huang, Yang Wang. (09/2025). arXiv. http://arxiv.org/pdf/2509.08997v1
Automatic Detection of Inauthentic Templated Responses in English Language Assessments
Yashad Samant, Lee Becker, Scott Hellman, Bradley Behan, Sarah Hughes, Joshua Southerland. (09/2025). arXiv. http://arxiv.org/pdf/2509.08355v1
Do Students Rely on AI? Analysis of Student-ChatGPT Conversations from a Field Study
Jiayu Zheng, Lingxin Hao, Kelun Lu, Ashi Garg, Mike Reese, Melo-Jean Yap, I-Jeng Wang, Xingyun Wu, Wenrui Huang, Jenna Hoffman, Ariane Kelly, My Le, Ryan Zhang, Yanyu Lin, Muhammad Faayez, Anqi Liu. (08/2025). arXiv. http://arxiv.org/pdf/2508.20244v1
Automatic Question & Answer Generation Using Generative Large Language Model (LLM)
A.S.M Mehedi Hasan, Md. Alvee Ehsan, Kefaya Benta Shahnoor, Syeda Sumaiya Tasneem. (08/2025). arXiv. http://arxiv.org/pdf/2508.19475v1
Sociotechnical Imaginaries of ChatGPT in Higher Education: The Evolving Media Discourse
Yinan Sun, Ali Unlu, Aditya Johri. (08/2025). arXiv. http://arxiv.org/pdf/2508.14692v1
Too Easily Fooled? Prompt Injection Breaks LLMs on Frustratingly Simple Multiple-Choice Questions
Xuyang Guo, Zekai Huang, Zhao Song, Jiahao Zhang. (08/2025). arXiv. http://arxiv.org/pdf/2508.13214v1
Exploring the Application of Visual Question Answering (VQA) for Classroom Activity Monitoring
Sinh Trong Vu, Hieu Trung Pham, Dung Manh Nguyen, Hieu Minh Hoang, Nhu Hoang Le, Thu Ha Pham, Tai Tan Mai. (08/2025). arXiv. http://arxiv.org/pdf/2507.22369v2
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
Understanding Student Attitudes and Acceptability of GenAI Tools in Higher Ed: Scale Development and Evaluation
Xiuxiu Tang, Si Chen, Ying Cheng, Nitesh V Chawla, Ronald Metoyer, G. Alex Ambrose. (08/2025). arXiv. http://arxiv.org/pdf/2508.01926v1
Teaching at Scale: Leveraging AI to Evaluate and Elevate Engineering Education
J.-F. Chamberland, M. Carlisle, A. Jayaraman, K. R. Narayanan, S. Palsole, K. Watson. (08/2025). arXiv. http://arxiv.org/pdf/2508.02731v1
Transparent Adaptive Learning via Data-Centric Multimodal Explainable AI
MARYAM MOSLEH, MARIE DEVLIN, ELLIS SOLAIMAN. (08/2025). arXiv. http://arxiv.org/pdf/2508.00665v1
Beyond Agreement: Rethinking Ground Truth in Educational AI Annotation
Danielle R. Thomas, Conrad Borchers, Kenneth R. Koedinger. (07/2025). arXiv. http://arxiv.org/pdf/2508.00143v1
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…
AI, Expert or Peer? Examining the Impact of Perceived Feedback Source on Pre-Service Teachers Feedback Perception and Uptake
Lucas Jasper Jacobsen, Ute Mertens, Thorben Jansen, Kira Elena Weber. (07/2025). arXiv. http://arxiv.org/pdf/2507.16013v1
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
LEKIA: A Framework for Architectural Alignment via Expert Knowledge Injection
Boning Zhao, Yutong Hu. (07/2025). arXiv. http://arxiv.org/pdf/2507.14944v1
Explainable Collaborative Problem Solving Diagnosis with BERT using SHAP and its Implications for Teacher Adoption
Kester Wong, Sahan Bulathwela and Mutlu Cukurova. (07/2025). arXiv. http://arxiv.org/pdf/2507.14584v1
On the development of an AI performance and behavioural measures for teaching and classroom management
Andreea I.Niculescu, Jochen Ehnes, Chen Yi, Du Jiawei, Tay Chiat Pin, Joey Tianyi Zhou, Vigneshwaran Subbaraju, Teh Kah Kuan, Tran Huy Dat, Gi Soong Chee, Kenneth Kwok. (07/2025). arXiv. http://arxiv.org/pdf/2506.11143v2
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
