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Outcomes – Differentiation
Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 1 - 30 of 464
Teachlm: Post-Training Llms For Education Using Authentic Learning Data
Janos Perczel, Jin Chow, Dorottya Demszky. (10/2025). arXiv. https://arxiv.org/pdf/2510.05087
Towards An Ai-Augmented Textbook
Amy Wang, Anna Iurchenko, Anisha Choudhury, Alicia Martín, Amir Globerson, Avinatan Hassidim, Ayça Çakmakli, Ayelet Shasha Evron, Charlie Yang, Courtney Heldreth, Diana Akrong, Gal Elidan, Hairong Mu, Ian Li, Ido Cohen, Katherine Chou, Komal Singh, Lev Borovoi, Lidan Hackmon, Lior Belinsky, Michael Fink, Niv Efron, Preeti Singh, Rena Levitt, Shashank Agarwal, Shay Sharon, Tracey Lee-Joe, Xiaohong Hao, Yael Gold-Zamir, Yael Haramaty, Yishay Mor, Yoav Bar Sinai, Yossi Matias. (10/2025). . https://services.google.com/fh/files/misc/ai_augmented_textbook.pdf
A Framework for Building High-Quality Education Data for R&D in the Age of AI: The EDSI Dataset and Expert Insights
Jing Liu, Brendon Krall, Sarah Montana, Ting-Yu Ariel Chung, Heather Hill. (10/2025). Center for Educational Data Science and Innovation. https://edsi.umd.edu/publications/framework-building-high-quality-education-dat…
Llms4All: A Review On Large Language Models For Research And Applications In Academic Disciplines
Yanfang (Fanny) Ye*, Zheyuan Zhang, Tianyi Ma, Zehong Wang, Yiyang Li, Shifu Hou, Weixiang Sun, Kaiwen Shi, Yijun Ma, Wei Song, Ahmed Abbasi, Ying Cheng, Jane Cleland-Huang, Steven Corcelli, Robert Goulding, Ming Hu, Ting Hua, John Lalor, Fang Liu, Tengfei Luo, Ed Maginn, Nuno Moniz, Jason Rohr, Brett Savoie, Daniel Slate, Tom Stapleford, Matthew Webber, Olaf Wiest, Johnny Zhang, Nitesh V Chawla. (09/2025). arXiv. http://arxiv.org/pdf/2509.19580v3
From Frustration To Fun: An Adaptive Problem-Solving Puzzle Game Powered By Genetic Algorithm
Matthew McConnell, Richard Zhao. (09/2025). arXiv. http://arxiv.org/pdf/2509.23796v1
Future-Proofing Programmers: Optimal Knowledge Tracing For Ai-Assisted Personalized Education
Yuchen Wang, Pei-Duo Yu, Chee Wei Tan. (09/2025). arXiv. http://arxiv.org/pdf/2509.23996v1
Anveshanaai: A Multimodal Platform For Adaptive Ai/Ml Education Through Automated Question Generation And Interactive Assessment
Rakesh Thakur, Diksha Khandelwal, Shreya Tiwari. (09/2025). arXiv. http://arxiv.org/pdf/2509.23811v1
Accurate Predictions In Education With Discrete Variational Inference
Tom Quilter, Anastasia Ilick, Karen Poon, Richard Turner. (09/2025). arXiv. http://arxiv.org/pdf/2509.23484v1
Malaysia'S Ai-Driven Education Landscape: Policies, Applications, And Comparative Insights For A Digital Future
Fadhilah Jamaluddin, Ahmad Hakiim Jamaluddin, Faridzah Jamaluddin, Faathirah Jamaluddin. (09/2025). arXiv. http://arxiv.org/pdf/2509.21858v1
Student Engagement With Genai'S Tutoring Feedback: A Mixed Methods Study
Sven Jacobs, Jan Haas, Natalie Kiesler. (09/2025). arXiv. http://arxiv.org/pdf/2509.22974v1
Developing Strategies To Increase Capacity In Ai Education
Noah Q. Cowit, Sri Yash Tadimalla, Stephanie T. Jones, Mary Lou Maher, Tracy Camp, Enrico Pontelli. (09/2025). arXiv. http://arxiv.org/pdf/2509.21713v1
Leveraging Large Language Models For Robot-Assisted Learning Of Morphological Structures In Preschool Children With Language Vulnerabilities
Stina Sundstedt, Mattias Wingren, Susanne Hägglund, Daniel Ventus. (09/2025). arXiv. http://arxiv.org/pdf/2509.22287v1
A Meta-Analysis Of Llm Effects On Students Across Qualification, Socialisation, And Subjectification
Jiayu Huang, Ruoxin Ritter Wang, Jen-Hao Liu, Boming Xia, Yue Huang, Ruoxi Sun, Jason (Minhui) Xue, Jinan Zou. (09/2025). arXiv. http://arxiv.org/pdf/2509.22725v1
Enhancing Python Programming Education With An Ai-Powered Code Helper: Design, Implementation, And Impact
Sayed Mahbub Hasan Amiri, Md Mainul Islam. (09/2025). arXiv. http://arxiv.org/pdf/2509.20518v1
Experimentally Testing Al-Powered Content Transformations On Student Learning
Courtney Heldreth, Laura M. Vardoulakis, Nicole E. Miller, Yael Haramaty, Diana Akrong, Lidan Hackmon, Lior Belinsky. (09/2025). arXiv. http://arxiv.org/pdf/2509.18664v1
Classmind: Scaling Classroom Observation And Instructional Feedback With Multimodal Ai
Ao Qu, Yuxi Wen, Jiayi Zhang, Yunge Wen, Yibo Zhao, Alok Prakash, Andrés F. Salazar-Gómez, Paul Pu Liang, Jinhua Zhao. (09/2025). arXiv. http://arxiv.org/pdf/2509.18020v1
Investigating Bias: A Multilingual Pipeline For Generating, Solving, And Evaluating Math Problems With Llms
Mariam Mahran, Katharina Simbeck. (09/2025). arXiv. http://arxiv.org/pdf/2509.17701v1
Ai Knows Best? The Paradox Of Expertise, Ai-Reliance, And Performance In Educational Tutoring Decision-Making Tasks
Eason Chen, Jeffrey Li, Scarlett Huang, Xinyi Tang, Jionghao Lin, Paulo Carvalho, Kenneth Koedinger. (09/2025). arXiv. http://arxiv.org/pdf/2509.16772v1
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 Babarogić, Ivan Luković. (09/2025). arXiv. http://arxiv.org/pdf/2509.18186v1
Comparative Analysis Of Stem And Non-Stem Teachers' Needs For Integrating Ai Into Educational Environments
Bahare Riahi, Veronica Cateté. (09/2025). arXiv. http://arxiv.org/pdf/2509.16276v1
Deliverc: Teaching Pointers Through Genai-Powered Game-Based Learning
Wyatt Petula, Anushcka Joshi, Peggy Tu, Amrutha Somasundar, and 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
Perspectives And Potential Issues In Using Artificial Intelligence For Computer Science Education
Juho Vepsäläinen, Petri Juntunen. (09/2025). arXiv. http://arxiv.org/pdf/2509.13730v1
Participatory Ai: A Scandinavian Approach To Human-Centered Ai
Niklas Elmqvist, Eve Hoggan, Hans-Jörg Schulz, Marianne Graves Petersen, Peter Dalsgaard, Ira Assent, Olav W. Bertelsen, Akhil Arora, Kaj Grønbæk, Susanne Bødker, Clemens N. Klokmose, Rachel Charlotte Smith, Sebastian Hubenschmid, Christoph A. Johns, Gabriela Molina León, Anton Wolter, Johannes Ellemose, Vaishali Dhanoa, Simon Aagaard Enni, Mille Skovhus Lunding, Karl-Emil Kjær Bilstrup, Luke Connelly, Rafael Pablos Sarabia, Morten Birk, Juan Sánchez Esquivel, Joachim Nyborg, Stefanie Zollmann, Tobias Langlotz, Meredith Siang-Yun Chou, Jens Emil Sloth Grønbæk, Michael Wessely, Yijing Jiang, Caroline Berger, Duosi Dai, Michael Mose Biskjaer, Germán Leiva, Jonas Frich, Eva Eriksson, Kim Halskov, Thorbjørn 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
Gen Ai In Proof-Based Math Courses: A Pilot Study
Hannah Klawa, Shraddha Rajpal, Cigole Thomas. (09/2025). arXiv. http://arxiv.org/pdf/2509.13570v1
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
