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Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 1 - 30 of 692
When AI Evaluates Its Own Work: Validating Learner-Initiated, AI-Generated Physics Practice Problems
Tobias Geisler, Gerd Kortemeyer. (02/2026). arXiv. https://arxiv.org/pdf/2511.15768v2
Voice-Based Chatbots For English Speaking Practice In Multilingual Low-Resource Indian Schools: A Multi-Stakeholder Study
Sneha Shashidhara, Vivienne Bihe Chi, Abhay P Singh, Lyle Ungar, Sharath Chandra Guntuku. (02/2026). arXiv. https://arxiv.org/pdf/2601.19304v2
Auditing Student-Ai Collaboration: A Case Study Of Online Graduate CS Students
Nifu Dan. (02/2026). arXiv. https://arxiv.org/pdf/2601.08697v3
Dataset Of GenAI-Assisted Information Problem Solving In Education
Xinyu Li, Kaixun Yang, Jiameng Wei, Yixin Cheng, Dragan Gasevic, Guanliang Chen. (02/2026). arXiv. https://arxiv.org/pdf/2601.12718v2
Navigating The Ethical And Societal Impacts Of Generative Ai In Higher Computing Education
Janice Mak, Joyce Nakatumba-Nabende, Tony Clear, Alison Clear, Ibrahim Albluwi, Oana Andrei, Lorenzo Angeli, Stephen MacNeil, Solomon Sunday Oyelere, Matthew Hale Rattigan, Judy Sheard, Tingting Zhu. (02/2026). arXiv. https://arxiv.org/pdf/2511.15768v2
Efficiency Without Cognitive Change: Evidence From Human Interaction With Narrow AI Systems
María Angélica Benítez, Rocío Candela Ceballos, Karina Del Valle, Mundo Araujo Sofía, Sofía Evangelina Victorio Villaroel, Nadia Justel. (02/2026). arXiv. https://arxiv.org/pdf/2510.24893v2
Do Teachers Dream Of Genai Widening Educational (In)Equality? Envisioning The Future Of K-12 Genai Education From Global Teachers' Perspectives
Ruiwei Xiao, Qing Xiao, Xinying Hou, Phenyo Phemelo Moletsane, Hanqi Jane Li, Hong Shen, John Stamper. (02/2026). arXiv. https://arxiv.org/pdf/2509.10782v4
The Psychology Of Learning From Machines: Anthropomorphic Ai And The Paradox Of Automation In Education
Junaid Qadir, Muhammad Mumtaz. (02/2026). arXiv. https://arxiv.org/pdf/2601.06172v2
Learning Context: A Unified Framework And Roadmap For Context-Aware Ai In Education
Naiming Liu, Brittany Bradford, Johaun Hatchett, Gabriel Diaz, Lorenzo Luzi, Zichao Wang, Debshila Basu Mallick, Richard Baraniuk. (01/2026). arXiv. https://arxiv.org/pdf/2512.24362v2
Trustworthy Intelligent Education: A Systematic Perspective On Progress, Challenges, And Future Directions
Xiaoshan Yu, Shangshang Yang, Ziwen Wang, Haiping Ma, Xingyi Zhang. (01/2026). arXiv. https://arxiv.org/pdf/2601.21837v1
Ethical Ai For Young Digital Citizens: A Call To Action On Privacy Governance
Austin Shouli, Ankur Barthwal, Molly Campbell, Ajay Kumar Shrestha. (01/2026). arXiv. https://arxiv.org/pdf/2503.11947v4
Turning Language Model Training From Black Box Into A Sandbox
Nicolas Pope, Matti Tedre. (01/2026). arXiv. https://arxiv.org/pdf/2601.21631v1
Dynamic Framework For Collaborative Learning: Leveraging Advanced Llm With Adaptive Feedback Mechanisms
Hassam Tahir, Faizan Faisal, Fady Alnajjar, Muhammad Imran Taj, Lucia Gordon, Aila Khan, Michael Lwin, Omar Mubin. (01/2026). arXiv. https://arxiv.org/pdf/2601.21344v1
Are They Just Delegating? Cross-Sample Predictions On University Students' & Teachers' Use Of AI
Fabian Albers, Sebastian Straub, Nikol Rummel, Nils Kobis. (01/2026). arXiv. https://arxiv.org/pdf/2601.21490v1
Guideai: A Real-Time Personalized Learning Solution With Adaptive Interventions
Ananya Shukla, Satvik Bajpai, Chaitanya Modi, Siddharth Siddharth. (01/2026). arXiv. https://arxiv.org/pdf/2601.20402v1
Designing Ai Peers For Collaborative Mathematical Problem Solving With Middle School Students: A Participatory Design Study
Wenhan Lyu, Yimeng Wang, Murong Yue, Yifan Sun, Jennifer Suh, Meredith Kier, Ziyu Yao, and Yixuan Zhang. (01/2026). arXiv. https://arxiv.org/pdf/2601.17962v2
A Comprehensive Exploration Of Personalized Learning In Smart Education: From Student Modeling To Personalized Recommendations
Siyu Wu, Yang Cao, Runze Li, Jiajun Cui, Hong Qian, Bo Jiang, Wei Zhang. (01/2026). arXiv. https://arxiv.org/pdf/2402.01666v2
Do Teachers Dream Of Genai Widening Educational (In)Equality? Envisioning The Future Of K-12 Genai Education From Global Teachers' Perspectives
Ruiwei Xiao, Qing Xiao, Xinying Hou, Phenyo Phemelo Moletsane, Hanqi Jane Li, Hong Shen, John Stamper. (01/2026). arXiv. https://arxiv.org/pdf/2509.10782v2
Learning To Live With Ai: How Students Develop Ai Literacy Through Naturalistic Chatgpt Interaction
Tawfiq Ammari, Meilun Chen, S M Mehedi Zaman, Kiran Garimella. (01/2026). arXiv. https://arxiv.org/pdf/2601.20749v1
Evolution Of Al In Education: Agentic Workflows
Firuz Kamalov, David Santandreu Calonge, Linda Smail, Dilshod Azizov, Dimple R. Thadani, Theresa Kwong, Amara Atif. (01/2026). arXiv. https://arxiv.org/pdf/2504.20082v2
Llama Lima: A Living Meta-Analysis On The Effects Of Generative Ai On Learning Mathematics
Anselm Strohmaier, Samira Bödefeld, Frank Reinhold. (01/2026). arXiv. https://arxiv.org/pdf/2601.18685v1
Co-Designing Digital Humans For Online Learning: A Framework For Human-Ai Pedagogical Integration
Xiaokang Leil, Ching Christie Pang, Yuyang Jiang, Xin Tong, and Pan Hui. (01/2026). arXiv. https://arxiv.org/pdf/2601.17434v1
Leveraging Peer, Self, And Teacher Assessments For Generative Ai-Enhanced Feedback
Alvaro Becerra, Ruth Cobos. (01/2026). arXiv. https://arxiv.org/pdf/2512.18306v2
Do We Know What They Know We Know? Calibrating Student Trust In Ai And Human Responses Through Mutual Theory Of Mind
Olivia Pal, Veda Duddu, Drishti Goel, Agam Goyal, Koustuv Saha. (01/2026). arXiv. https://arxiv.org/pdf/2601.16960v1
Alignagent: Adaptive Learner Intelligence For Gap Identification And Next-Step Guidance
Bismack Tokoli, Luis Jaimes, Ayesha S. Dina. (01/2026). arXiv. https://arxiv.org/pdf/2601.15551v1
Llm Prompt Evaluation For Educational Applications
Langdon Holmes, Adam Coscia, Scott Crossley, Joon Suh Choi, and Wesley Morris. (01/2026). arXiv. https://arxiv.org/pdf/2601.16134v1
Llm-Based Multimodal Feedback Produces Equivalent Learning And Better Student Perceptions Than Educator Feedback
Chloe Qianhui Zhao, Jionghao Lin, Jie Cao, Kenneth R. Koedinger. (01/2026). arXiv. https://arxiv.org/pdf/2601.15280v1
It's Not The Plane - It's The Pilot: A Framework for Cognitive-Activated AI-Augmentation to Avoid the Boiling Frog Problem
Jochen Kuhn, Stefan Küchemann, Dave Rakestraw and Patrik Vogt. (01/2026). arXiv. https://arxiv.org/pdf/2601.13812v2
Construction And Educational Application Of A Linguistically Grounded Dependency Treebank For Uyghur
Jiaxin Zuo, Yiquan Wang, Yuan Pan, and Xiadiya Yibulayin. (01/2026). arXiv. https://arxiv.org/pdf/2507.21536v2
