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Descriptive – Product Development
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 211 - 240 of 594
Beyond End-To-End Video Models: An Llm-Based Multi-Agent System For Educational Video Generation
Lingyong Yan, Jiulong Wu, Dong Xie, Weixian Shi, Deguo Xia, Jizhou Huang. (02/2026). arXiv. https://arxiv.org/pdf/2602.11790v1
Drawing Your Programs: Exploring The Applications Of Visual-Prompting With Genai For Teaching And Assessment
David H. Smith IV, S. Moonwara A. Monisha, Leo Porter, Annapurna Vadaparty, Daniel Zingaro. (02/2026). arXiv. https://arxiv.org/pdf/2602.10529v1
Designing And Evaluating An AI-Enhanced Immersive Multidisciplinary Simulation (Aims) For Interprofessional Education
Ruijie Wang, Jie Lu, Bo Pei, Evonne Jones, James Brinson, Timothy Brown. (02/2026). arXiv. https://arxiv.org/pdf/2510.08891v2
Integrating Generative AI-Enhanced Cognitive Systems In Higher Education: From Stakeholder Perceptions To A Conceptual Framework Considering The Eu AI Act
Da-Lun Chen, Prasasthy Balasubramanian, Lauri Loven, Susanna Pirttikangas, Jaakko Sauvola, Panagiotis Kostakos. (02/2026). arXiv. https://arxiv.org/pdf/2602.10802v1
"Bespoke Bots": Diverse Instructor Needs For Customizing Generative AI Classroom Chatbots
Irene Hou, Philip J. Guo, Zeyu Xiong, April Yi Wang. (02/2026). arXiv. https://arxiv.org/pdf/2603.00057v1
Beyond Input-Output: Rethinking Creativity Through Design-By-Analogy In Human-AI Collaboration
Xuechen Li, Shuai Zhang, Nan Cao, Qing Chen. (02/2026). arXiv. https://arxiv.org/pdf/2602.09423v1
Measuring Inclusion In Interaction: Inclusion Analytics For Human-AI Collaborative Learning
JAEYOON CHOI, NIA NIXON. (02/2026). arXiv. https://arxiv.org/pdf/2602.09269v1
AI-Assisted Model For Generating Multiple-Choice Questions
Tetiana Krushynska, Jani Ursin, Ville Heilala. (02/2026). arXiv. https://arxiv.org/pdf/2602.08383v1
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
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
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
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
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
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
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
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
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
Evaluating Actionability In Explainable Ai
Gennie Mansi, Julia Kim, Mark Riedl. (01/2026). arXiv. https://arxiv.org/pdf/2601.20086v1
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
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
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
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
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
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
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
