High School (9-12)
Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 301 - 330 of 459
Position: LLMs Can be Good Tutors in Foreign Language Education
Jingheng Ye, Shen Wang, Deqing Zhou, Yibo Yan, Kun Wang, Hai-Tao Zheng, Zenglin Xu, Irwin King, Philip S. Yu, Qingsong Wen. (02/2025). arXiv. https://arxiv.org/pdf/2502.05467
MindCraft: Revolutionizing Education through AI-Powered Personalized Learning and Mentorship for Rural India
Arihant Bardia, Aayush Agrawal. (02/2025). arXiv. https://www.arxiv.org/abs/2502.05826
Understanding Generative AI Risks for Youth: A Taxonomy Based on Empirical Data
Yaman Yu, Yiren Liu, Jacky Zhang, Yun Huang, Yang Wang. (02/2025). arXiv. https://www.arxiv.org/abs/2502.16383
The Imitation Game for Educational AI
Shashank Sonkar, Naiming Liu, Xinghe Chen, Richard G. Baraniuk. (02/2025). arXiv. https://arxiv.org/pdf/2502.15127
Fine-tuning ChatGPT for Automatic Scoring of Written Scientific Explanations in Chinese
Jie Yang, Ehsan Latif, Yuze He, Xiaoming Zhai. (01/2025). arXiv. http://arxiv.org/pdf/2501.06704v1
Generative AI in Education: From Foundational Insights to the Socratic Playground for Learning
Xiangen Hu, Sheng Xu, Richard Tong, & Art Graesser. (01/2025). arXiv. http://arxiv.org/pdf/2501.06682v1
Evaluating GenAI for Simplifying Texts for Education: Improving Accuracy and Consistency for Enhanced Readability
Stephanie L. Day, Jacapo Cirica, Steven R. Clapp, Veronika Penkova, Amy E. Giroux, Abbey Banta, Catherine Bordeau, Poojitha Mutteneni, Ben D. Sawyer. (01/2025). arXiv. http://arxiv.org/pdf/2501.09158v1
Debugging Without Error Messages: How LLM Prompting Strategy Affects Programming Error Explanation Effectiveness
Audrey Salmon, Katie Hammer, Eddie Antonio Santos, Brett A. Becker. (01/2025). arXiv. http://arxiv.org/pdf/2501.05706v1
A Novel Approach to Scalable and Automatic Topic-Controlled Question Generation in Education
Ziqing Li, Mutlu Cukurova, Sahan Bulathwela. (01/2025). arXiv. http://arxiv.org/pdf/2501.05220v1
A Review of Artificial Intelligence Interventions for Students with Autism Spectrum Disorder
Sofia Kotsi, Spyridoula Handrinou, Georgia Iatraki, Spyridon-Georgios Soulis. (01/2025). MDPI. https://www.mdpi.com/2673-7272/5/1/7
Auto-Evaluation: A Critical Measure in Driving Improvements in Quality and Safety of AI-Generated Lesson Resources
Hannah-Beth Clark, Margaux Dowland, Laura Benton, Reka Budai, Ibrahim Kaan Keskin, Emma Searle, Matthew Gregory, Mark Hodierne, William Gayne, John Roberts. (01/2025). arXiv. https://arxiv.org/pdf/2502.10410
The effectiveness of ChatGPT in assisting high school students in programming learning: evidence from a quasi-experimental research
Tzu-Chi Yang, Yi-Chuan Hsu, Jiun-Yu Wu. (01/2025). Interactive Learning Environments. https://www.tandfonline.com/doi/full/10.1080/10494820.2025.2450659?src=#:~:text…
IntelliChain: An Integrated Framework for Enhanced Socratic Method Dialogue with LLMs and Knowledge Graphs
Changyong Qi, Linzhao Jia, Yuang Wei, Yuan-Hao Jiang, Xiaoqing Gu. (01/2025). arXiv. https://arxiv.org/pdf/2502.00010
MNIST-Fraction: Enhancing Math Education with AI-Driven Fraction Detection and Analysis
Pegah Ahadian, Yunhe Feng, Karl Kosko, Richard Ferdig, Qiang Guan. (12/2024). arXiv. https://arxiv.org/pdf/2412.08633
AI in Education: Rationale, Principles, and Instructional Implications
Eyvind Elstad. (12/2024). arXiv. http://arxiv.org/pdf/2412.12116v1
A Self-Efficacy Theory-based Study on the Teachers' Readiness to Teach Artificial Intelligence in Public Schools in Sri Lanka
Chathura Rajapakse,Wathsala Ariyarathna,Shanmugalingam Selvakan. (12/2024). arXiv. https://arxiv.org/pdf/2412.19425
ActiveAI: Enabling K-12 AI Literacy Education & Analytics at Scale
Ruiwei Xiao, Ying-Jui Tseng, Hanqi Li, Hsuan Nieu, Guanze Liao, John Stamper, Kenneth R. Koedinger. (12/2024). arXiv. https://arxiv.org/pdf/2412.14200
LearnLM: Improving Gemini for Learning
LearnLM Team, Google. (12/2024). arXiv. https://arxiv.org/pdf/2412.16429
Is ChatGPT Massively Used by Students Nowadays? A Survey on the Use of Large Language Models such as ChatGPT in Educational Settings
Jeremie Sublime, Ilaria Renna. (12/2024). arXiv. https://arxiv.org/pdf/2412.17486
Generative AI as a lab partner: a case study
Sebastian Kilde-Westberg, Andreas Johansson, Jonas Enger. (12/2024). arXiv. https://arxiv.org/pdf/2412.11300
"From Unseen Needs to Classroom Solutions": Exploring AI Literacy Challenges & Opportunities with Project-Based Learning Toolkit in K-12 Education
Hanqi Li, Ruiwei Xiao, Hsuan Nieu, Ying-Jui Tseng, Guanze Liao. (12/2024). arXiv. https://arxiv.org/pdf/2412.17243
Generating Al Literacy MCQs: A Multi-Agent LLM Approach
Jiayi Wang, Ruiwei Xiao, Ying-Jui Tseng. (12/2024). arXiv. http://arxiv.org/pdf/2412.00970v1
Automatic Generation of Question Hints for Mathematics Problems using Large Language Models in Educational Technology
Junior Cedric Tonga, Benjamin Clement, Pierre-Yves Oudeyer. (11/2024). arXiv. http://arxiv.org/pdf/2411.03495v1
VISTA: Visual Integrated System for Tailored Automation in Math Problem Generation Using LLM
Jeongwoo Lee, Kwangsuk Park, Jihyeon Park. (11/2024). arXiv. http://arxiv.org/pdf/2411.05423v1
Improving Bilingual Capabilities of Language Models to Support Diverse Linguistic Practices in Education
Anand Syamkumar, Nora Tseng, Kaycie Barron, Shanglin Yang, Shamya Karumbaiah, Rheeya Uppal, Junjie Hu. (11/2024). arXiv. http://arxiv.org/pdf/2411.04308v1
Advancing Transformative Education: Generative Ai As A Catalyst For Equity And Innovation
Chiranjeevi Bura, Praveen Kumar Myakala. (11/2024). arXiv. http://arxiv.org/pdf/2411.15971v1
Howzat? Appealing to Expert Judgement for Evaluating Human and AI Next-Step Hints for Novice Programmers
Neil C. C. Brown, Pierre Weill-Tessier, Juho Leinonen, Paul Denny, Michael Kolling. (11/2024). arXiv. http://arxiv.org/pdf/2411.18151v1
Generative AI And Agency In Education: A Critical Scoping Review and Thematic Analysis
Jasper Roe, Mike Perkins. (11/2024). arXiv. http://arxiv.org/pdf/2411.00631v1
