Learning – Student Support
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 451 - 480 of 827
A Theory of Adaptive Scaffolding for LLM-Based Pedagogical Agents
Clayton Cohn, Surya Rayala, Namrata Srivastava, Joyce Horn Fonteles, Shruti Jain, Xinying Luo, Divya Mereddy, Naveeduddin Mohammed, Gautam Biswas. (08/2025). arXiv. http://arxiv.org/pdf/2508.01503v1
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
Explainable AI and Machine Learning for Exam-based Student Evaluation: Causal and Predictive Analysis of Socio-academic and Economic Factors
Bushra Akter, Md Biplob Hosen, Sabbir Ahmed, Mehrin Anannya, Md. Farhad Hossain. (08/2025). arXiv. http://arxiv.org/pdf/2508.00785v1
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
Transparent Adaptive Learning via Data-Centric Multimodal Explainable AI
MARYAM MOSLEH, MARIE DEVLIN, ELLIS SOLAIMAN. (08/2025). arXiv. http://arxiv.org/pdf/2508.00665v1
Automated Feedback on Student-Generated UML and ER Diagrams Using Large Language Models
Sebastian GŸrtl, Gloria Schimetta, David Kerschbaumer, Michael Liut, Alexander Steinmaurer. (07/2025). arXiv. http://arxiv.org/pdf/2507.23470v1
Personalized Education with Ranking Alignment Recommendation
Haipeng Liu, Yuxuan Liu, Ting Long. (07/2025). arXiv. http://arxiv.org/pdf/2507.23664v1
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
Students' Feedback Requests and Interactions with the SCRIPT Chatbot: Do They Get What They Ask For?
Andreas Scholl, Natalie Kiesler. (07/2025). arXiv. http://arxiv.org/pdf/2507.17258v1
Designing for Learning with Generative AI is a Wicked Problem: An Illustrative Longitudinal Qualitative Case Series
Clara Scalzer, Saurav Pokhrel, Sara Hunt, Greg L Nelson. (07/2025). arXiv. http://arxiv.org/pdf/2507.17230v1
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…
LEKIA: A Framework for Architectural Alignment via Expert Knowledge Injection
Boning Zhao, Yutong Hu. (07/2025). arXiv. http://arxiv.org/pdf/2507.14944v1
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
Partnering with AI: A Pedagogical Feedback System for LLM Integration into Programming Education
Niklas Scholz, Manh Hung Nguyen, Adish Singla, Tomohiro Nagashima. (07/2025). arXiv. http://arxiv.org/pdf/2507.00406v2
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
Findings of the BEA 2025 Shared Task on Pedagogical Ability Assessment of AI-powered Tutors
Ekaterina Kochmar, Kaushal Kumar Maurya, Kseniia Petukhova, KV Aditya Srivatsa, Ana¯s Tack, Justin Vasselli. (07/2025). arXiv. http://arxiv.org/pdf/2507.10579v1
Short-Term Gains, Long-Term Gaps: The Impact Of GenAI and Search Technologies On Retention
Mahir Akgun, Sacip Toker. (07/2025). arXiv. http://arxiv.org/pdf/2507.07357v1
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
Assessing the Prevalence of AI-assisted Cheating in Programming Courses: A Pilot Study
KalŽu Delphino. (07/2025). arXiv. http://arxiv.org/pdf/2507.06438v1
Creating a customisable freely-accessible Socratic AI physics tutor
Eugenio Tufino, Bor Gregorcic. (07/2025). arXiv. http://arxiv.org/pdf/2507.05795v1
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
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
Do Students Write Better Post-AI Support? Effects of Generative AI Literacy and Chatbot Interaction Strategies on Multimodal Academic Writing
Yueqiao Jin, Kaixun Yang, Roberto Martinez-Maldonado, Dragan Ga_evi_, Lixiang Yan. (07/2025). arXiv. http://arxiv.org/pdf/2507.04398v1
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
