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High School (9-12)
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 541 - 570 of 586
Generative AI and Its Educational Implications
Kacper Lodzikowski, Peter W. Foltz, John T. Behrens. (01/2024). arXiv. https://arxiv.org/pdf/2401.08659
Design and implementation of an Al-enabled visual report tool as formative assessment to promote learning achievement and self-regulated learning: An experimental study
Xiaofang Liao, Xuedi Zhang, Zhifeng Wang, Heng Luo. (01/2024). BJET. https://bera-journals.onlinelibrary.wiley.com/doi/abs/10.1111/bjet.13424
Foundation Models in Augmentative and Alternative Communication: Opportunities and Challenges
Ambra Di Paola, Serena Muraro, Roberto Marinelli, Christian Pilato. (01/2024). arXiv. http://arxiv.org/pdf/2401.08866v1
Fine-tuning ChatGPT for Automatic Scoring
Ehsan Latif, Xiaoming Zhai. (12/2023). arXiv. http://arxiv.org/pdf/2310.10072v3
Gemini Pro Defeated by GPT-4V: Evidence from Education
Gyeong-Geon Lee, Ehsan Latif, Lehong Shi, Xiaoming Zhai. (12/2023). arXiv. http://arxiv.org/pdf/2401.08660v1
From Voices to Validity: Leveraging Large Language Models (LLMs) for Textual Analysis of Policy Stakeholder Interviews
Alex Liu, Min Sun. (12/2023). arXiv. http://arxiv.org/pdf/2312.01202v1
The Imitation Game: Detecting Human and AI-Generated Texts in the Era of ChatGPT and BARD
Kadhim Hayawi, Sakib Shahriar, Sujith Samuel Mathew. (11/2023). arXiv. http://arxiv.org/pdf/2307.12166v2
White Paper: The Generative Education (GenEd) Framework Empowering Educators as AI-Enhanced Mentors
Daniel Leiker. (11/2023). arXiv. http://arxiv.org/pdf/2311.10732v2
Math Education With Large Language Models: Peril or Promise?
Harsh Kumar, David M. Rothschild, Daniel G. Goldstein, Jake M. Hofman. (11/2023). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4641653
Improving Teachers' Questioning Quality through Automated Feedback: A Mixed-Methods Randomized Controlled Trial in Brick-and-Mortar Classrooms
Dorottya Demszky, Jing Liu, Heather C. Hill, Shyamoli Sanghi, Ariel Chung. (11/2023). EdWorkingPapers. https://files.eric.ed.gov/fulltext/ED638993.pdf
Exploring User Perspectives on ChatGPT: Applications, Perceptions, and Implications for AI-Integrated Education
Reza Hadi Mogavi, Chao Deng, Justin Juho Kim, Pengyuan Zhou, Young D. Kwon, Ahmed Hosny Saleh Metwally, Ahmed Tlili, Simone Bassanelli, Antonio Bucchiarone, Sujit Gujar, Lennart E. Nacke, Pan Hui. (11/2023). arXiv. https://arxiv.org/pdf/2305.13114
Generative AI in the Classroom: Can Students Remain Active Learners?
Rania Abdelghani, Helene Sauzeon, Pierre-Yves Oudeyer. (11/2023). arXiv. http://arxiv.org/pdf/2310.03192v2
New Era of Artificial Intelligence In Education: Towards A Sustainable Multifaceted Revolution
Firuz Kamalov, David Santandreu Calonge, Ikhlaas Gurrib. (10/2023). arXiv. http://arxiv.org/pdf/2305.18303v2
Using Curriculum Theory to Inform Approaches to Generative AI in Schools
Myke Healy. (09/2023). arXiv. http://arxiv.org/pdf/2309.13053v1
Data-Driven Artificial Intelligence in Education: A Comprehensive Review
Kashif Ahmad, Waleed Iqbal, Ammar El-Hassan, Junaid Qadir, Driss Benhaddou, Moussa Ayyash, Ala Al-Fuqaha. (09/2023). IEEE. https://ieeexplore.ieee.org/document/10247566
How Novices Use LLM-Based Code Generators to Solve CS1 Coding Tasks in a Self-Paced Learning Environment
Majeed Kazemitabaar, Xinying Hou, Austin Henley, Barbara J. Ericson, David Weintrop, Tovi Grossman. (09/2023). arXiv. http://arxiv.org/pdf/2309.14049v1
More than Model Documentation: Uncovering Teachers' Bespoke Information Needs for Informed Classroom Integration of ChatGPT
Mei Tan, Hariharan Subramonyam. (09/2023). arXiv. http://arxiv.org/pdf/2309.14458v1
Generative AI for Programming Education: Benchmarking ChatGPT, GPT-4, and Human Tutors*
Tung Phung, Victor-Alexandru Padurean, Jose Cambronero, Sumit Gulwani, Tobias Kohn, Rupak Majumdar, Adish Singla, Gustavo Soares. (08/2023). arXiv. http://arxiv.org/pdf/2306.17156v3
Let's Have a Chat! A Conversation with ChatGPT: Technology, Applications, and Limitations
Sakib Shahriar, Kadhim Hayawi. (08/2023). arXiv. http://arxiv.org/pdf/2302.13817v4
M-Powering Teachers: Natural Language Processing Powered Feedback Improves 1:1 Instruction and Student Outcomes
Dorottya Demszky, Jing Liu. (07/2023). EdWorkingPapers. https://edworkingpapers.com/sites/default/files/ai23-759-v2.pdf
Teachers' And Students' Perception Towards Integration Of Artificial Intelligence In School Curriculum: A Survey
Rini Mandal, Jayanta Mete. (07/2023). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4544750
Use Scenarios & Practical Examples of AI Use in Education Briefing report No. 3 by the European Digital Education Hub's squad on artificial intelligence in education
Dara Cassidy, Yann-A‘l Le Borgne, Francisco Bellas, Riina Vuorikari, Elise Rondin, Madhumalti Sharma, Jessica Niewint-Gori, Johanna Gršppler, Anne Gilleran, Lidija Kralj. (07/2023). arXiv. https://arxiv.org/pdf/2309.12320
A large language model-assisted education tool to provide feedback on open-ended responses
Jordan K. Matelsky, Felipe Parodi, Tony Liu, Richard D. Lange, Konrad P. Kording. (07/2023). arXiv. http://arxiv.org/pdf/2308.02439v1
Cases of EFL Secondary Students' Prompt Engineering Pathways to Complete a Writing Task with ChatGPT
David James Woo, Kai Guo, Hengky Susanto. (06/2023). arXiv. http://arxiv.org/pdf/2307.05493v1
Towards Applying Powerful Large AI Models in Classroom Teaching: Opportunities, Challenges and Prospects
Kehui Tan, Tianqi Pang, Chenyou Fan, Song Yu. (06/2023). arXiv. http://arxiv.org/pdf/2305.03433v2
Interpretable Math Word Problem Solution Generation Via Step-by-step Planning
Mengxue Zhang, Zichao Wang, Zhichao Yang, Weiqi Feng, Andrew Lan. (06/2023). arXiv. http://arxiv.org/pdf/2306.00784v1
Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation
Zhenwen Liang, Wenhao Yu, Tanmay Rajpurohit, Peter Clark, Xiangliang Zhang, Ashwin Kaylan. (05/2023). arXiv. http://arxiv.org/pdf/2305.14386v1
AI Audit: A Card Game to Reflect on Everyday AI Systems
Safinah Ali, Vishesh Kumar, Cynthia Breazeal. (05/2023). arXiv. http://arxiv.org/pdf/2305.17910v1
Enhancing Chemistry Learning with ChatGPT and Bing Chat as Agents-to-Think-With: A Comparative Case Study
Renato P. dos Santos. (05/2023). arXiv. http://arxiv.org/pdf/2305.11890v1
