High School (9-12)
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 61 - 90 of 492
Createai: Insights From An Nsf Workshop On K-12 Students, Teachers, And Families As Designers Of Artificial Intelligence And Machine Learning Applications
Yasmin B. Kafai, Jose Ramon Lizarraga, R. Benjamin Shapiro, Marina Bers, Kathi Fisler. (02/2026). arXiv. https://arxiv.org/pdf/2602.16894v1
Expanding The Scope Of Computational Thinking In Artificial Intelligence For K-12 Education
Yasmin B. Kafai, Shuchi Grover. (02/2026). arXiv. https://arxiv.org/pdf/2602.16890v1
How Uncertain Is The Grade? A Benchmark Of Uncertainty Metrics For Llm-Based Automatic Assessment
Hang Li, Kaiqi Yang, Xianxuan Long, Fedor Filippov, Yucheng Chu, Yasemin Copur-Gencturk, Peng He, Cory Miller, Namsoo Shin, Joseph Krajcik, Hui Liu, Jiliang Tang. (02/2026). arXiv. https://arxiv.org/pdf/2602.16039v1
Who Is Doing The Thinking? AI As A Dynamic Cognitive Partner: A Learner-Informed Framework
Cecilia Ka Yuk Chan. (02/2026). arXiv. https://arxiv.org/pdf/2602.15638v1
Arapai: An Offline-First AI Chatbot Architecture For Low-Connectivity Educational Environments
Joseph Walusimbi, Ann Move Oguti, Joshua Benjamin Ssentongo, Keith Ainebyona. (02/2026). arXiv. https://arxiv.org/pdf/2603.03339v1
Artificial Intelligence In Secondary Education: Educational Affordances And Constraints Of Chatgpt-40 Use
Tryfon Sivenas, Panagiota Maragkaki. (02/2026). arXiv. https://arxiv.org/pdf/2602.13717v1
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
Language Bottleneck Models For Qualitative Knowledge State Modeling
Antonin Berthon, Mihaela van der Schaar. (02/2026). arXiv. https://arxiv.org/pdf/2506.16982v2
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
AI-Assisted Model For Generating Multiple-Choice Questions
Tetiana Krushynska, Jani Ursin, Ville Heilala. (02/2026). arXiv. https://arxiv.org/pdf/2602.08383v1
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-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
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
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
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
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
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-Muller, 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
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
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
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
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
