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High School (9-12)
Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 1 - 30 of 415
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
Facet: Multi-Agent Ai Supporting Teachers In Scaling Differentiated Learning For Diverse Students
Jana Gonnermann-Müller, Jennifer Haase, Nicolas Leins, Moritz Igel, Konstantin Fackeldey and Sebastian Pokutta. (01/2026). arXiv. https://arxiv.org/pdf/2601.22788v1
Trustworthy Intelligent Education: A Systematic Perspective On Progress, Challenges, And Future Directions
Xiaoshan Yu, Shangshang Yang, Ziwen Wang, Haiping Ma, Xingyi Zhang. (01/2026). arXiv. https://arxiv.org/pdf/2601.21837v1
Ethical Ai For Young Digital Citizens: A Call To Action On Privacy Governance
Austin Shouli, Ankur Barthwal, Molly Campbell, Ajay Kumar Shrestha. (01/2026). arXiv. https://arxiv.org/pdf/2503.11947v4
A Comprehensive Exploration Of Personalized Learning In Smart Education: From Student Modeling To Personalized Recommendations
Siyu Wu, Yang Cao, Runze Li, Jiajun Cui, Hong Qian, Bo Jiang, Wei Zhang. (01/2026). arXiv. https://arxiv.org/pdf/2402.01666v2
Do Teachers Dream Of Genai Widening Educational (In)Equality? Envisioning The Future Of K-12 Genai Education From Global Teachers' Perspectives
Ruiwei Xiao, Qing Xiao, Xinying Hou, Phenyo Phemelo Moletsane, Hanqi Jane Li, Hong Shen, John Stamper. (01/2026). arXiv. https://arxiv.org/pdf/2509.10782v2
On The Effectiveness Of Llm-Specific Fine-Tuning For Detecting Ai-Generated Text
Michał Gromadzki, Anna Wróblewska, Agnieszka Kaliska. (01/2026). arXiv. https://arxiv.org/pdf/2601.20006v1
Evaluating Actionability In Explainable Ai
Gennie Mansi, Julia Kim, Mark Riedl. (01/2026). arXiv. https://arxiv.org/pdf/2601.20086v1
Llama Lima: A Living Meta-Analysis On The Effects Of Generative Ai On Learning Mathematics
Anselm Strohmaier, Samira Bödefeld, Frank Reinhold. (01/2026). arXiv. https://arxiv.org/pdf/2601.18685v1
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
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
Reflecting In The Reflection: Integrating A Socratic Questioning Framework Into Automated Ai-Based Question Generation
Ond≈ôej Holub, Essi Ryymin, Rodrigo Alves. (01/2026). arXiv. https://arxiv.org/pdf/2601.14798v1
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
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
Hallucination-Free Automatic Question & Answer Generation For Intuitive Learning
Nicholas X. Wang, Aggelos K. Katsaggelos. (01/2026). arXiv. https://arxiv.org/pdf/2601.14280v1
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
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
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
Dissecting Physics Reasoning In Small Language Models: A Multi-Dimensional Analysis From An Educational Perspective
Nicy Scaria, Silvester John Joseph Kennedy, Krishna Agarwal, Diksha Seth, Deepak Subramani. (01/2026). arXiv. https://arxiv.org/pdf/2505.20707v2
Toward Youth-Centered Privacy-By-Design In Smart Devices: A Systematic Review
Molly Campbell, Mohamad Sheikho Al Jasem, Ajay Kumar Shrestha. (01/2026). arXiv. https://arxiv.org/pdf/2601.11598v1
Content Vs. Form: What Drives The Writing Score Gap Across Socioeconomic Backgrounds? A Generated Panel Approach
Nadav Kunievsky, Pedro Pertusi. (01/2026). arXiv. https://arxiv.org/pdf/2601.03469v1
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
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
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
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
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
Problems With Large Language Models For Learner Modelling: Why Llms Alone Fall Short For Responsible Tutoring In K-12 Education
Danial Hooshyar, Yeongwook Yang, Gustav Sir, Tommi Karkkainen, Raija Hamalainen, Mutlu Cukurova, Roger Azevedo. (12/2025). arXiv. https://arxiv.org/pdf/2512.23036v1
