High School (9-12)
Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 31 - 60 of 459
From Search To Genai Queries: Global Trends In Physics Information-Seeking Across Topics And Regions
Yossi Ben-Zion, Omer Michaeli, Noah D. Finkelstein. (02/2026). arXiv. https://arxiv.org/pdf/2602.09550v1
Complex Networks Map Test Anxiety And Wellbeing Levels In Students And Chatgpt
Emma Franchino, Francesco Gariboldi, Alessandro Grecucci, Gianluca Lattanzi, and Massimo Stella. (02/2026). arXiv. https://arxiv.org/pdf/2602.13302v1
Open Mathematical Tasks As A Didactic Response To Generative Artificial Intelligence In Post-AI Contexts
Felix De la Cruz Serrano. (02/2026). arXiv. https://arxiv.org/pdf/2602.09242v1
AI-Based Verbal And Visual Scaffolding In A Serious Game: Effects On Learning And Cognitive Load
Caroline Wermann, Karina E. Avila, Sebastian Andre, Julia C. Draeger, Alvar Goetze, Jochen Kuhn, Maite Maurer, Sascha Mehlhase, Nikola Merkas, Fabian Schrodt, Stefan Kuchemann. (02/2026). arXiv. https://arxiv.org/pdf/2602.08893v1
Charting The Future Of AI-Supported Science Education: A Human-Centered Vision
Xiaoming Zhai, Kent Crippen. (02/2026). arXiv. https://arxiv.org/pdf/2602.18471v1
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. (02/2026). arXiv. https://arxiv.org/pdf/2509.10782v4
AI-Assisted Model For Generating Multiple-Choice Questions
Tetiana Krushynska, Jani Ursin, Ville Heilala. (02/2026). arXiv. https://arxiv.org/pdf/2602.08383v1
Language Bottleneck Models For Qualitative Knowledge State Modeling
Antonin Berthon, Mihaela van der Schaar. (02/2026). arXiv. https://arxiv.org/pdf/2506.16982v2
The Landscape Of AI In Science Education: What Is Changing And How To Respond
Xiaoming Zhai, Kent Crippen. (02/2026). arXiv. https://arxiv.org/pdf/2602.18469v1
Calibrating Generative AI To Produce Realistic Essays For Data Augmentation
Edward W. Wolfe, Justin O. Barber, Pearson. (02/2026). arXiv. https://arxiv.org/pdf/2602.06772v1
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
Exploring Teachers' Perspectives On Using Conversational AI Agents For Group Collaboration
Prerna Ravi, Carumey Stevens, Beatriz Flamia Azevedo, Jasmine David, Brandon Hanks, Hal Abelson, Grace Lin, and Emma Anderson. (02/2026). arXiv. https://arxiv.org/pdf/2602.07142v1
Llm Agents For Education: Advances And Applications
Zhendong Chu, Shen Wang, Jian Xie, Tinghui Zhu, Yibo Yan, Jinheng Ye, Aoxiao Zhong, Xuming Hu, Jing Liang, Philip S. Yu, Qingsong Wen. (02/2026). arXiv. https://arxiv.org/pdf/2503.11733v2
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
Facet: Multi-Agent Ai Supporting Teachers In Scaling Differentiated Learning For Diverse Students
Jana Gonnermann-Muller, Jennifer Haase, Nicolas Leins, Moritz Igel, Konstantin Fackeldey and Sebastian Pokutta. (01/2026). arXiv. https://arxiv.org/pdf/2601.22788v1
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
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
Evaluating Actionability In Explainable Ai
Gennie Mansi, Julia Kim, Mark Riedl. (01/2026). arXiv. https://arxiv.org/pdf/2601.20086v1
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
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
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
