Quantitative – Others
Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 31 - 60 of 444
Kahaani: A Multimodal Co-Creative Storytelling System
Samee Arif, Muhammad Saad Haroon, Aamina Jamal Khan, Taimoor Arif, Agha Ali Raza, Awais Athar. (02/2026). arXiv. https://arxiv.org/pdf/2409.11261v6
Open Tutorai: An Open-Source Platform For Personalized And Immersive Learning With Generative AI
Mohamed EL HAJJI, Tarek AIT BAHA, Aicha DAKIR, Hammou FADILI, Youssef ES-SAADY. (02/2026). arXiv. https://arxiv.org/pdf/2602.07176v1
Personalized Learning Path Planning Through Goal-Driven Learner State Modeling
Joy Jia Yin Lim, Ye He, Jifan Yu, Xin Cong, Daniel Zhang-Li, Zhiyuan Liu, Huiqin Liu, Lei Hou, Juanzi Li, Bin Xu. (02/2026). arXiv. https://arxiv.org/pdf/2510.13215v2
Calibrating Generative AI To Produce Realistic Essays For Data Augmentation
Edward W. Wolfe, Justin O. Barber, Pearson. (02/2026). arXiv. https://arxiv.org/pdf/2602.06772v1
Beagle: Behavior-Enforced Agent For Grounded Learner Emulation
Hanchen David Wang, Clayton Cohn, Zifan Xu, Siyuan Guo, Gautam Biswas, Meiyi Ma. (02/2026). arXiv. https://arxiv.org/pdf/2602.13280v1
Classaid: A Real-Time Instructor-AI-Student Orchestration System For Classroom Programming Activities
Gefei Zhang, Guodao Sun, Meng Xia, Ronghua Liang. (02/2026). arXiv. https://arxiv.org/pdf/2602.06734v1
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
Comparative Insights On Adversarial Machine Learning From Industry And Academia: A User-Study Approach
Vishruti Kakkad, Paul Chung, Hanan Hibshi, Maverick Woo. (02/2026). arXiv. https://arxiv.org/pdf/2602.04753v1
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
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
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
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
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
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
Facet: Multi-Agent Ai Supporting Teachers In Scaling Differentiated Learning For Diverse Students
Jana Gonnermann-Muller, Jennifer Haase, Nicolas Leins, Moritz Igel, Konstantin Fackeldey and Sebastian Pokutta. (01/2026). arXiv. https://arxiv.org/pdf/2601.22788v1
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
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
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
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
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
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
