Descriptive – Product Development
Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 181 - 210 of 419
OnlineMate: An LLM-Based Multi-Agent Companion System for Cognitive Support in Online Learning
Xian Gao, Zongyun Zhang, Ting Liu, Yuzhuo Fu. (09/2025). arXiv. http://arxiv.org/pdf/2509.14803v2
From Service-Oriented Computing to Metaverse Services: A Framework for Inclusive and Immersive Learning for Neurodivergent Students
Rachid Hamadi, Abdelmounaam Rezgui, Ali Darejeh. (09/2025). arXiv. http://arxiv.org/pdf/2509.15545v1
An Outcome-Based Educational Recommender System
Nursultan Askarbekuly, Timur Fayzrakhmanov, Sladjan Babarogic, Ivan Lukovic. (09/2025). arXiv. http://arxiv.org/pdf/2509.18186v1
DeliverC: Teaching Pointers through GenAI-Powered Game-Based Learning
Wyatt Petula, Anushcka Joshi, Peggy Tu, Amrutha Somasundar, Suman Saha. (09/2025). arXiv. http://arxiv.org/pdf/2509.14496v1
AI-driven formative assessment and adaptive learning in data-science education: Evaluating an LLM-powered virtual teaching assistant
Fadjimata I.Anaroua, Qing Li, Yan Tang, Hong P.Liu. (09/2025). arXiv. http://arxiv.org/pdf/2509.20369v1
Participatory AI: A Scandinavian Approach to Human-Centered AI
Niklas Elmqvist, Eve Hoggan, Hans-Jorg Schulz, Marianne Graves Petersen, Peter Dalsgaard, Ira Assent, Olav W. Bertelsen, Akhil Arora, Kaj Gronbaek, Susanne Bodker, Clemens N. Klokmose, Rachel Charlotte Smith, Sebastian Hubenschmid, Christoph A. Johns, Gabriela Molina Leon, Anton Wolter, Johannes Ellemose, Vaishali Dhanoa, Simon Aagaard Enni, Mille Skovhus Lunding, Karl-Emil Kjaer Bilstrup, Luke Connelly, Rafael Pablos Sarabia, Morten Birk, Juan Sanchez Esquivel, Joachim Nyborg, Stefanie Zollmann, Tobias Langlotz, Meredith Siang-Yun Chou, Jens Emil Sloth Gronbaek, Michael Wessely, Yijing Jiang, Caroline Berger, Duosi Dai, Michael Mose Biskjaer, German Leiva, Jonas Frich, Eva Eriksson, Kim Halskov, Thorbjorn Mikkelsen, Nearchos Potamitis, Michel Yildirim, Arvind Srinivasan, Jeanette Falk, Nanna Inie, Ole Sejer Iversen, Hugo Andersson. (09/2025). arXiv. http://arxiv.org/pdf/2509.12752v1
Exploring Conversational Design Choices in LLMs for Pedagogical Purposes: Socratic and Narrative Approaches for Improving Instructor's Teaching Practice
SI CHEN, ISABEL R. MOLNAR, PEIYU LI, ADAM ACUNIN, TING HUA, ALEX AMBROSE, NITESH V. CHAWLA, RONALD METOYER. (09/2025). arXiv. http://arxiv.org/pdf/2509.12107v1
A GPU-Accelerated RAG-Based Telegram Assistant for Supporting Parallel Processing Students
Guy Tel-Zur. (09/2025). arXiv. http://arxiv.org/pdf/2509.11947v1
Humanizing Automated Programming Feedback: Fine-Tuning Generative Models with Student-Written Feedback
Victor-Alexandru Padurean, Tung Phung, Nachiket Kotalwar, Michael Liut, Juho Leinonen, Paul Denny, Adish Singla. (09/2025). arXiv. http://arxiv.org/pdf/2509.10647v1
GenAI Voice Mode in Programming Education
Sven Jacobs, Natalie Kiesler. (09/2025). arXiv. http://arxiv.org/pdf/2509.10596v1
Deploying AI for Signal Processing education: Selected challenges and intriguing opportunities
Jarvis Haupt, Qin Lu, Yanning Shen, Jia Chen, Yue Dong, Dan McCreary, Mehmet Akcakaya, Georgios B. Giannakis. (09/2025). arXiv. http://arxiv.org/pdf/2509.08950v1
The ends of tests: Possibilities for transformative assessment and learning with generative AI
Bill Cope, Mary Kalantzis, Akash Kumar Saini. (09/2025). Unesco. https://www.unesco.org/en/articles/ai-and-future-education-disruptions-dilemmas…
Instructional Agents: LLM Agents on Automated Course Material Generation for Teaching Faculties
Huaiyuan Yao, Wanpeng Xu, Justin Turnau, Nadia Kellam, Hua Wei. (08/2025). arXiv. http://arxiv.org/pdf/2508.19611v1
Skill-based Explanations for Serendipitous Course Recommendation
Hung Chau, Run Yu, Zachary Pardos, Peter Brusilovsky. (08/2025). arXiv. http://arxiv.org/pdf/2508.19569v1
MathBuddy: A Multimodal System for Affective Math Tutoring
Debanjana Kar, Leopold B¬öss, Dacia Braca, Sebastian Maximilian Dennerlein, Nina Christine Hubig, Philipp Wintersberger, Yufang Hou. (08/2025). arXiv. http://arxiv.org/pdf/2508.19993v1
Who Is Lagging Behind: Profiling Student Behaviors with Graph-Level Encoding in Curriculum-Based Online Learning Systems
Qian Xiao, Conn Breathnach, Ioana Ghergulescu, Conor O'Sullivan, Keith Johnston, Vincent Wade. (08/2025). arXiv. http://arxiv.org/pdf/2508.18925v1
Toward Generalized Autonomous Agents: A Neuro-Symbolic AI Framework for Integrating Social and Technical Support in Education
Ryan Hare, Ying Tang. (08/2025). arXiv. http://arxiv.org/pdf/2508.18406v1
GOLDMIND: A Teacher-Centered Knowledge Management System For Higher Education AI Lessons From Iterative Design
Gloria Fern‡ndez-Nieto, Lele Sha, Yuheng Li, Yi-Shan Tsai, Guanliang Chen, Yinwei Wei, Weiqing Wang, Jinchun Wen, Shaveen Singh, Ivan Silva, Yuanfang Li, Dragan Ga_evic, Zachari Swiecki. (08/2025). arXiv. http://arxiv.org/pdf/2508.04377v2
FACET: Teacher-Centred LLM-Based Multi-Agent Systems- Towards Personalized Educational Worksheets
Jana Gonnermann-Muller, Jennifer Haase, Konstantin Fackeldey, Sebastian Pokutta. (08/2025). arXiv. http://arxiv.org/pdf/2508.11401v2
RoboBuddy in the Classroom: Exploring LLM-Powered Social Robots for Storytelling in Learning and Integration Activities
Daniel Tozadore, Nur Ertug, Yasmine Chaker and Mortadha Abderrahim. (08/2025). arXiv. http://arxiv.org/pdf/2508.16706v1
AI-Supported Mini-Labs: Combining Smartphone-Based Experiments and Multimodal AI
Jochen Kuhn, David J. Rakestraw, Stefan Stefan KŸchemann, Patrik Vogt. (08/2025). arXiv. http://arxiv.org/pdf/2508.16320v1
Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design
Jiayi Wang, Ruiwei Xiao, Xinying Hou, John Stamper. (08/2025). arXiv. http://arxiv.org/pdf/2508.16659v1
Reliable generation of isomorphic physics problems using ChatGPT with prompt-chaining and tool use
Zhongzhou Chen. (08/2025). arXiv. http://arxiv.org/pdf/2508.14755v1
Breakable Machine: A K-12 Classroom Game for Transformative AI Literacy Through Spoofing and eXplainable AI (XAI)
Olli Hilke, Nicolas Pope, Juho Kahila, Henriikka Vartiainen, Teemu Roos, Tuomo Parkki, Matti Tedre. (08/2025). arXiv. http://arxiv.org/pdf/2508.14201v1
Learning to Use AI for Learning: How Can We Effectively Teach and Measure Prompting Literacy for K-12 Students?
Ruiwei Xiao, Xinying Hou, Ying-Jui Tseng, Hsuan Nieu, Guanze Liao, John Stamper, Kenneth R. Koedinger. (08/2025). arXiv. http://arxiv.org/pdf/2508.13962v1
PAPPL: Personalized AI-Powered Progressive Learning Platform
Shayan Bafandkar, Sungyong Chung, Homa Khosravian, Alireza Talebpour. (08/2025). arXiv. http://arxiv.org/pdf/2508.14109v1
Developing a ChatGPT-Based Tool for Physics Experiment Teaching
Yifeng Liu, Min Li, Zhaojun Zhang, Youkang Fang, Meibao Qin. (08/2025). arXiv. http://arxiv.org/pdf/2508.13011v1
Designing an Interdisciplinary Artificial Intelligence Curriculum for Engineering: Evaluation and Insights from Experts
Johannes Schleiss, Anke Manukjan, Michelle Ines Bieber, Sebastian Lang, Sebastian Stober. (08/2025). arXiv. http://arxiv.org/pdf/2508.14921v1
CoGrader: Transforming Instructors' Assessment of Project Reports through Collaborative LLM Integration
Zixin Chen, Jiachen Wang, Yumeng Li, Haobo Li, Chuhan Shi, Rong Zhang, Huamin Qu. (08/2025). arXiv. http://arxiv.org/pdf/2507.20655v2
