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Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 91 - 120 of 692
Large Language Models For Education And Research: An Empirical And User Survey-Based Analysis
Md Mostafizer Rahman, Ariful Islam Shiplu, Md Faizul Ibne Amin, Yutaka Watanobe, Lu Peng. (12/2025). arXiv. https://arxiv.org/abs/2512.08057v1
A Theoretical Framework Of Student Agency In AI-Assisted Learning: A Grounded Theory Approach
Yun Dai, Sichen Lai. (12/2025). arXiv. https://arxiv.org/abs/2512.07143v1
Exploring Teenagers' Trust In Al Chatbots: An Empirical Study Of Chinese Middle-School Students
Siyu Qiu, Anqi Lin, Shiya Wang, Xingyu Lan. (12/2025). arXiv. https://arxiv.org/abs/2512.06647v1
Learning To Use AI For Learning: Teaching Responsible Use Of AI Chatbot To K-12 Students Through An AI Literacy Module
Ruiwei Xiao, Xinying Hou, Ying-Jui Tseng, Hsuan Nieu, Guanze Liao, John Stamper, Kenneth R. Koedinger. (12/2025). arXiv. https://arxiv.org/abs/2508.13962v2
Enhancing Retrieval-Augmented Generation With Entity Linking For Educational Platforms
Francesco Granata, Francesco Poggi, Misael Mongiovì. (12/2025). arXiv. https://arxiv.org/abs/2512.05967v1
Reflection-Satisfaction Tradeoff: Investigating Impact Of Reflection On Student Engagement With Ai-Generated Programming Hints
Heeryung Choia, Tung Phungb, Mengyan Wuª, Adish Singlab, Christopher Brooksa. (12/2025). arXiv. https://arxiv.org/abs/2512.04630v1
On The Role And Impact Of Genai Tools In Software Engineering Education
Qiaolin Qin, Ronnie de Souza Santos, Rodrigo Spinola. (12/2025). arXiv. https://arxiv.org/abs/2512.04256v1
Feed-O-Meter: Investigating Ai-Generated Mentee Personas As Interactive Agents For Scaffolding Design Feedback Practice
Hyunseung Lim, Dasom Choi, DaEun Choi, Sooyohn Nam, Hwajung Hong. (12/2025). arXiv. https://arxiv.org/abs/2509.07424
"Can You Feel The Vibes?": An Exploration Of Novice Programmer Engagement With Vibe Coding
Kiev Gama, Alexander Nolte, Filipe Calegario, Luiz Augusto Morais, Victoria Jackson, Vinicius Garcia. (12/2025). arXiv. https://arxiv.org/abs/2512.02750v1
Towards Responsible Development Of Generative AI For Education: An Evaluation-Driven Approach
Irina Jurenka, Markus Kunesch, Kevin R. McKee, Daniel Gillick, Shaojian Zhu, Sara Wiltberger, Shubham Milind Phal, Katherine Hermann, Daniel Kasenberg, Avishkar Bhoopchand, Ankit Anand, Miruna Pîslar, Stephanie Chan, Lisa Wang, Jennifer She, Parsa Mahmoudieh, Aliya Rysbek, Wei-Jen Ko, Andrea Huber, Brett Wiltshire, Gal Elidan, Roni Rabin, Jasmin Rubinovitz, Amit Pitaru, Mac McAllister, Julia Wilkowski, David Choi, Roee Engelberg, Lidan Hackmon, Adva Levin, Rachel Griffin, Michael Sears, Filip Bar, Mia Mesar, Mana Jabbour, Arslan Chaudhry, James Cohan, Sridhar Thiagarajan, Nir Levine, Ben Brown, Dilan Gorur, Svetlana Grant, Rachel Hashimshoni, Laura Weidinger, Jieru Hu, Dawn Chen, Kuba Dolecki, Canfer Akbulut, Maxwell Bileschi, Laura Culp, Wen-Xin Dong, Nahema Marchal, Kelsie Van Deman, Hema Bajaj Misra, Michael Duah, Moran Ambar, Avi Caciularu, Sandra Lefdal, Chris Summerfield, James An, Pierre-Alexandre Kamienny, Abhinit Mohdi, Theofilos Strinopoulous, Annie Hale, Wayne Anderson, Luis C. Cobo, Niv Efron, Muktha Ananda, Shakir Mohamed, Maureen Heymans, Zoubin Ghahramani, Yossi Matias, Ben Gomes, Lila Ibrahim. (12/2025). arXiv. https://arxiv.org/abs/2407.12687v4
Ezyer: A Simulacrum Of High School With Generative Agent
Jinming Yang, Zimu Ji, Weiqi Luo, Gaoxi Wang, Bin Ma, Yueling Deng. (12/2025). arXiv. https://arxiv.org/abs/2512.02561v1
Advisingwise: Supporting Academic Advising In Higher Education Settings Through A Human-In-The-Loop Multi-Agent Framework
Wendan Jiang, Shiyuan Wang, Hiba Eltigani, Rukhshan Haroon, Abdullah Bin Faisal, Fahad Dogar. (12/2025). arXiv. https://arxiv.org/abs/2511.05706v2
Artificial Intelligence Competence Of K-12 Students Shapes Their Ai Risk Perception: A Co-Occurrence Network Analysis
Ville Heilala, Pieta Sikstrom, Mika Setala, Tommi Karkkainen. (12/2025). arXiv. https://arxiv.org/abs/2512.04115v1
Ai Tutoring Enhances Student Learning Without Crowding Out Reading Effort
Mira Fischer, Holger A. Rau, Rainer Michael Rilke. (12/2025). IZA Institute of Labor Economics. https://docs.iza.org/dp18338.pdf
Supporting Productivity Skill Development In College Students Through Social Robot Coaching: A Proof-Of-Concept
Himanshi Lalwani, Hanan Salam. (11/2025). arXiv. https://arxiv.org/abs/2512.01105v1
Confident Rag: Enhancing The Performance Of Llms For Mathematics Question Answering Through Multi-Embedding And Confidence Scoring
Shiting Chen, Zijian Zhao and Jinsong Chen. (11/2025). arXiv. https://arxiv.org/abs/2507.17442v3
Peoat: Personalization-Guided Evolutionary Question Assembly For One-Shot Adaptive Testing
Xiaoshan Yu, Ziwei Huang, Shangshang Yang, Ziwen Wang, Haiping Ma, Xingyi Zhang. (11/2025). arXiv. https://arxiv.org/abs/2512.00439v1
Exploring Student Interactions With Ai-Powered Learning Tools: A Qualitative Study Connecting Interaction Patterns To Educational Learning Theories
Prathamesh Muzumdar, Sumanth Cheemalapati. (11/2025). arXiv. https://arxiv.org/abs/2512.00519v1
Training For Obsolescence? The Ai-Driven Education Trap
Andrew J. Peterson. (11/2025). arXiv. https://arxiv.org/abs/2508.19625v2
Rethinking Ai Evaluation Through Teach-Ai: A Human-Centered Benchmark And Toolkit For Evaluating Ai Assistants In Education
Shi Ding, Brian Magerko. (11/2025). arXiv. https://arxiv.org/abs/2512.04107v1
Cllmrec: Llm-Powered Cognitive-Aware Concept Recommendation Via Semantic Alignment And Prerequisite Knowledge Distillation
Xiangrui Xiong, Yichuan Lu, Zifei Pan, Chang Sun. (11/2025). arXiv. https://arxiv.org/abs/2511.17041v2
Supporting Students In Navigating Llm-Generated Insecure Code
Jaehwan Park, Kyungchan Lim, Seonhye Park, Doowon Kim. (11/2025). arXiv. https://arxiv.org/abs/2511.20878v1
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
Presentcoach: Dual-Agent Presentation Coaching Through Exemplars And Interactive Feedback
Sirui Chen, Jinsong Zhou, Xinli Xu, Xiaoyu YANG, Litao Guo, Ying-Cong Chen. (11/2025). arXiv. https://arxiv.org/abs/2511.15253v2
Generating Reading Comprehension Exercises With Large Language Models For Educational Applications
Xingyu Huang, Fei Jiang, Jianli Xiao. (11/2025). arXiv. https://arxiv.org/abs/2511.18860v1
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
Enhancing Large Language Models For Automated Homework Assessment In Undergraduate Circuit Analysis
Liangliang Chen, Huiru Xie, Zhihao Qin, Yiming Guo, Jacqueline Rohde, Ying Zhang. (11/2025). arXiv. https://arxiv.org/abs/2511.18221v1
Boop: Write Right Code
Vaani Goenka and Aalok Thakkar. (11/2025). arXiv. https://arxiv.org/abs/2507.22085v2
