Outcomes – Differentiation
Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 61 - 90 of 628
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
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
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
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
Mathedu: Feedback Generation On Problem-Solving Processes For Mathematical Learning Support
Wei-Ling Hsu, Yu-Chien Tang, An-Zi Yen. (01/2026). arXiv. https://arxiv.org/pdf/2505.18056v2
A Survey Of Self-Evolving Agents What, When, How, And Where To Evolve On The Path To Artificial Super Intelligence
Huan-ang Gao, Jiayi Geng, Wenyue Hua, Mengkang Hu, Xinzhe Juan, Hongzhang Liu, Shilong Liu, Jiahao Qiu, Xuan Qi, Qihan Ren, Yiran Wu, Hongru Wang, Han Xiao, Yuhang Zhou, Shaokun Zhang, Jiayi Zhang, Jinyu Xiang, Yixiong Fang, Qiwen Zhao, Dongrui Liu, Cheng Qian, Zhenhailong Wang, Minda Hu, Huazheng Wang, Qingyun Wu, Heng Ji, Mengdi Wang. (01/2026). arXiv. https://arxiv.org/pdf/2507.21046v4
Mathdoc: Benchmarking Structured Extraction And Active Refusal On Noisy Mathematics Exam Papers
Chenyue Zhou, Jiayi Tuo, Shitong Qin, Wei Dai, Mingxuan Wang, Ziwei Zhao, Duoyang Li, Shiyang Su, Yanxi Lu, Yanbiao Ma. (01/2026). arXiv. https://arxiv.org/pdf/2601.10104v1
Aiplato: A Novel Ai Tutoring And Stepwise Feedback System For Physics Homework
Atharva Dange, Ramon E. Lopez, Nimish Shah, Louis Deslauriers. (01/2026). arXiv. https://arxiv.org/pdf/2601.09965v1
Personalized Multimodal Feedback Using Multiple External Representations: Strategy Profiles And Learning In High School Physics
Natalia Revenga-Lozano, Karina E. Avila, Steffen Steinert, Matthias Schweinberger, Clara E. Gomez-Perez, Jochen Kuhn, Stefan Kuchemann. (01/2026). arXiv. https://arxiv.org/pdf/2601.09470v1
Genaited Ghana: A First-Of-Its-Kind Context-Aware And Curriculum-Aligned Conversational Ai Agent For Teacher Education
Matthew Nyaaba, Patrick Kyeremeh, Macharious Nabang, Bismark Nyaaba Akanzire, Sakina Acquah, Cyril Ababio Titty, Kotor Asare, Jerry Etornam Kudaya. (01/2026). arXiv. https://arxiv.org/pdf/2601.06093v2
Thematic Working Group 5 - Artificial Intelligence (Ai) Literacy For Teaching And Learning: Design And Implementation
Mary Webb, Matt Bower, Ana Amelia Carvalho, Fredrik Mork Rokenes, Jodie Torrington, Jonathan D. Cohen, Yousra Chtouki, Kathryn Maccallum, Tanya Linden, Deirdre Butler, Juliana Elisa Raffaghelli, Henriikka Vartiainen, Martina Ronci, Peter Tiernan, David M. Smith, Chris Shelton, Joyce Malyn-smith, Pierre Gorissen. (01/2026). arXiv. https://arxiv.org/pdf/2601.08380v1
Pats: Personality-Aware Teaching Strategies With Large Language Model Tutors
Donya Rooein, Sankalan Pal Chowdhury, Mariia Eremeeva, Yuan Qin, Debora Nozza, Mrinmaya Sachan, Dirk Hovy. (01/2026). arXiv. https://arxiv.org/pdf/2601.08402v1
When Generative Al Meets Extended Reality: Enabling Scalable And Natural Interactions
Mingyu Zhu, Jiangong Chen, and Bin Li. (01/2026). arXiv. https://arxiv.org/pdf/2601.15308v1
Automated Domain Question Mapping (Dqm) With Educational Learning Materials
Jiho Noh, Mukhesh Raghava Katragadda, Dabae Lee. (01/2026). arXiv. https://arxiv.org/pdf/2601.07062v1
Classroom Ai: Large Language Models As Grade-Specific Teachers
Jio Oh, Steven Euijong Whang, James Evans, Jindong Wang. (01/2026). arXiv. https://arxiv.org/pdf/2601.06225v1
Breaking Robustness Barriers In Cognitive Diagnosis: A One-Shot Neural Architecture Search Perspective
Ziwen Wang, Shangshang Yang, Xiaoshan Yu, Haiping Ma, Xingyi Zhang. (01/2026). arXiv. https://arxiv.org/pdf/2601.04918v1
What Students Ask, How A Generative Ai Assistant Responds: Exploring Higher Education Students' Dialogues On Learning Analytics Feedback
Yildiz Uzun, Andrea Gauthier, Mutlu Cukurova. (01/2026). arXiv. https://arxiv.org/pdf/2601.04919v1
Can Ai Chatbots Provide Coaching In Engineering? Beyond Information Processing Toward Mastery
Junaid Qadir, Muhammad Adil Attique, Saleha Shoaib, Syed Ibrahim Ghaznavi. (01/2026). arXiv. https://arxiv.org/pdf/2601.03693v1
Malrulelib: Large-Scale Executable Misconception Reasoning With Step Traces For Modeling Student Thinking In Mathematics
Xinghe Chen, Naiming Liu, Shashank Sonkar. (01/2026). arXiv. https://arxiv.org/pdf/2601.03217v1
Unpacking Generative Ai In Education: Computational Modeling Of Teacher And Student Perspectives In Social Media Discourse
Paulina DeVito, Akhil Vallala, Sean Mcmahon, Yaroslav Hinda, Benjamin Thaw, Hanqi Zhuang, Hari Kalvad. (01/2026). arXiv. https://arxiv.org/pdf/2506.16412v2
Interoperability In Ai Safety Governance: Ethics, Regulations, And Standards
Yik Chan Chin, David A. Raho, Hag-Min Kim, Chunli Bi, James Ong, Jingbo Huang, Serge Stinckwich. (01/2026). arXiv. https://arxiv.org/pdf/2601.06153v1
Prompt Engineering For Responsible Generative Ai Use In African Education: A Report From A Three-Day Training Series
Benjamin Quarshie, Vanessa Willemse, Macharious Nabang, Bismark Nyaaba Akanzire, Patrick Kyeremeh, Saeed Maigari, Dorcas Adomina, Ellen Kwarteng, Eric Kojo Majialuwe, Craig Gibbs, Jerry Etornam Kudaya, Sechaba Koma, Matthew Nyaaba. (01/2026). arXiv. https://arxiv.org/pdf/2601.06121v1
How To Assess Ai Literacy: Misalignment Between Self-Reported And Objective-Based Measures
Shan Zhang, Ruiwei Xiao, Anthony F. Botelho, Guanze Liao, Thomas K. F. Chiu, John Stamper, Kenneth R. Koedinger. (01/2026). arXiv. https://arxiv.org/pdf/2601.06101v1
Objectiveed Buddybooks Efficacy Study Report Performance On Staar And I-Ready In Reading, Academic Year 2024-2025
Sofia Jimenez, Ph.D., Juliette Berg, Ph.D., Isabella Ilievski, M.Ed., Anna Robinson, M.A., Rachel Schechter, Ph.D.. (01/2026). LXD Research. https://www.researchgate.net/publication/401168021_Objective_Ed_BuddyBooks_Effi…
Divergent-Convergent Thinking In Large Language Models For Creative Problem Generation
Manh Hung Nguyen, Adish Singla. (12/2025). arXiv. https://arxiv.org/pdf/2512.23601v1
Artificial Intelligence For All? Brazilian Teachers On Ethics, Equity, And The Everyday Challenges Of Ai In Education
Bruno Florentino, Andre de Carvalho, Camila Sestito, Wellington Cruz, Robson Bonidia. (12/2025). arXiv. https://arxiv.org/pdf/2512.23834v1
