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Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 1 - 30 of 770
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
The Compliance Paradox: Semantic-Instruction Decoupling In Automated Academic Code Evaluation
Devanshu Sahoo, Manish Prasad, Vasudev Majhi, Arjun Neekhra, Yash Sinha, Vinay Chamola, Murari Mandal, Dhruv Kumar. (01/2026). arXiv. https://arxiv.org/pdf/2601.21360v1
Turning Language Model Training From Black Box Into A Sandbox
Nicolas Pope, Matti Tedre. (01/2026). arXiv. https://arxiv.org/pdf/2601.21631v1
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
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
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
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
On The Effectiveness Of Llm-Specific Fine-Tuning For Detecting Ai-Generated Text
Michał Gromadzki, Anna Wróblewska, Agnieszka Kaliska. (01/2026). arXiv. https://arxiv.org/pdf/2601.20006v1
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
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
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
Machine-Assisted Grading Of Nationwide School-Leaving Essay Exams With Llms And Statistical Nlp
Andres Karjus, Kais Allkivi, Silvia Maine, Katarin Leppik, Krister Kruusmaa, Merilin Aruvee. (01/2026). arXiv. https://arxiv.org/pdf/2601.16314v1
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 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
Reflecting In The Reflection: Integrating A Socratic Questioning Framework Into Automated Ai-Based Question Generation
Ond≈ôej Holub, Essi Ryymin, Rodrigo Alves. (01/2026). arXiv. https://arxiv.org/pdf/2601.14798v1
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
Zero-Shot Speech Llms For Multi-Aspect Evaluation Of L2 Speech: Challenges And Opportunities
Aditya Kamlesh Parikh, Cristian Tejedor-Garcia, Catia Cucchiarini, Helmer Strik. (01/2026). arXiv. https://arxiv.org/pdf/2601.16230v1
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
Language, Caste, And Context: Demographic Disparities In Ai-Generated Explanations Across Indian And American Stem Educational Systems
Amogh Gupta, Niharika Patil, Sourojit Ghosh, Snehalkumar 'Neil' S. Gaikwad. (01/2026). arXiv. https://arxiv.org/pdf/2601.14506v1
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
Dataset Of Genai-Assisted Information Problem Solving In Education
Xinyu Li, Kaixun Yang, Jiameng Wei, Yixin Cheng, Dragan Ga_evi_, Guanliang Chen. (01/2026). arXiv. https://arxiv.org/pdf/2601.12718v1
Rapport Du Projet De Recherche Traima Traitement Automatique Des Interactions Multimodales En Apprentissage
Jean-Francois Cerisier, Emilie Remond, Aurelien Nguyen, Andrew Peterson, Julie Rancon, Ladjel Bellatreche. (01/2026). arXiv. https://arxiv.org/pdf/2601.12844v1
