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Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 151 - 180 of 554
Evaluating Large Language Models On Solved And Unsolved Problems In Graph Theory: Implications For Computing Education
Adithya Kulkarni, Mohna Chakraborty, Jay Bagga. (02/2026). arXiv. https://arxiv.org/pdf/2602.05059v1
Lessons Learned From Integrating Generative AI Into An Introductory Undergraduate Astronomy Course At Harvard
Christopher W. Stubbs, Dongpeng Huang, Jungyoon Koh, Madeleine Woods, Andres A. Plazas Malagon. (02/2026). arXiv. https://arxiv.org/pdf/2602.04389v1
Student Perceptions Of Large Language Models Use In Self-Reflection And Design Critique In Architecture Studio
Juan David Salazar Rodriguez, Sam Conrad Joyce, Nachamma Sockalingam, Khoo Eng Tat, Julfendi. (02/2026). arXiv. https://arxiv.org/pdf/2602.00041v2
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
Exploring Emerging Norms Of AI Disclosure In Programming Education
Runlong Ye, Jessica He, Oliver Huang, Michael Liut. (02/2026). arXiv. https://arxiv.org/pdf/2602.04023v1
From Crafting Text To Crafting Thought: Grounding AI Writing Support To Writing Center Pedagogy
Yijun Liu, John Gallagher, Sarah Sterman, Tal August. (02/2026). arXiv. https://arxiv.org/pdf/2602.04047v1
Exploring The Role Of Tracing In AI-Supported Planning For Algorithmic Reasoning
Yoshee Jain, Heejin Do, Zihan Wu, April Yi Wang. (02/2026). arXiv. https://arxiv.org/pdf/2602.03197v1
Digital Lifelong Learning In The Age Of AI: Trends And Insights
Geeta Puri, Nachamma Socklingam, Dorien Herremans. (02/2026). arXiv. https://arxiv.org/pdf/2602.03114v1
Drawsim-Pd: Simulating Student Science Drawings To Support Ngss-Aligned Teacher Diagnostic Reasoning
Arijit Chakma, Peng He, Honglu Liu, Zeyuan Wang, Tingting Li, Tiffany D. Do, and Feng Liu. (02/2026). arXiv. https://arxiv.org/pdf/2602.01578v1
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
Turning Language Model Training From Black Box Into A Sandbox
Nicolas Pope, Matti Tedre. (01/2026). arXiv. https://arxiv.org/pdf/2601.21631v1
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
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
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
Can We Improve Educational Diagram Generation With In-Context Examples? Not If A Hallucination Spoils The Bunch
Evanfiya Logacheva, Arto Hellas, Tsvetomila Mihaylova, Juha Sorva, Ava Heinonen, Juho Leinonen. (01/2026). arXiv. https://arxiv.org/pdf/2601.20476v1
From Struggle To Success: Context-Aware Guidance For Screen Reader Users In Computer Use
Nan Chen, Jing Lu, Zilong Wang, Luna K. Qiu, Siming Chen, Yuqing Yang. (01/2026). arXiv. https://arxiv.org/pdf/2601.18092v1
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
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
Bridging Qualitative Rubrics And Ai: A Binary Question Framework For Criterion-Referenced Grading In Engineering
Lili Chen, Winn Wing-Yiu Chow, Stella Peng, Bencheng Fan and Sachitha Bandara. (01/2026). arXiv. https://arxiv.org/pdf/2601.15626v1
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
How Students (Really) Use Chatgpt: Uncovering Experiences Among Undergraduate Students
TAWFIQ AMMARI, MEILUN CHEN, S M MEHEDI ZAMAN, KIRAN GARIMELLA. (01/2026). arXiv. https://arxiv.org/pdf/2505.24126v4
Conversations Over Clicks: Impact Of Chatbots On Information Search In Interdisciplinary Learning
Hannah Kim, Sergei L. Kosakovsky Pond, Stephen MacNeil. (01/2026). arXiv. https://arxiv.org/pdf/2507.21490v2
Eduthink4Ai: Bridging Educational Critical Thinking And Multi-Agent Llm Systems
Xinmeng Hou, Ziting Chang, Zhouquan Lu, Chen Wenli, Liang Wan, Wei Feng, Hai Hu, and Qing Guo. (01/2026). arXiv. https://arxiv.org/pdf/2507.15015v2
When Peers Outperform Ai (And When They Don'T): Interaction Quality Over Modality
Caitlin Morris, Pattie Maes. (01/2026). arXiv. https://arxiv.org/pdf/2601.11777v1
Aiplato: A Novel Ai Tutoring And Stepwise Feedback System For Physics Homework
Atharva Dange, Ramon E. Lopez, Nimish Shah, Louis Deslauriers. (01/2026). arXiv. https://arxiv.org/pdf/2601.09965v1
Personalized Multimodal Feedback Using Multiple External Representations: Strategy Profiles And Learning In High School Physics
Natalia Revenga-Lozano, Karina E. Avila, Steffen Steinert, Matthias Schweinberger, Clara E. Gomez-Perez, Jochen Kuhn, Stefan Kuchemann. (01/2026). arXiv. https://arxiv.org/pdf/2601.09470v1
