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Research Study Repository
A comprehensive collection of academic research on generative AI in preK12 education organized into three categories:
Research that describes how generative AI is being used in classrooms, schools, or districts or how products are designed and built.
Offline-First LLM Architecture For Adaptive Learning In Low-Connectivity Environments
Joseph Walusimbi, Ann Move Oguti, Joshua Benjamin Ssentongo, Keith Ainebyona. (04/2026). arXiv.
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. (04/2026). arXiv.
Teaching Astronomy With Large Language Models
Yuan-Sen Ting, Teaghan O'Briain. (04/2026). arXiv.
Tailoring AI-Driven Reading Scaffolds To The Distinct Needs Of Neurodiverse Learners
Soufiane Jhilal, Eleonora Pasqua, Caterina Marchesi, Riccardo Corradi, Martina Galletti. (04/2026). arXiv.
Practitioner Voices Summit: How Teachers Evaluate AI Tools Through Deliberative Sensemaking
Dorottya Demszky, Christopher Mah, Helen Higgins. (03/2026). arXiv.
Reflected: Evaluating Reflection-Driven Learning In An AI-Assisted System
Md Nazmus Sakib, Ishika Tarin, Naga Manogna Rayasam, Manas Gaur, Sanorita Dey. (03/2026). arXiv.
Descriptive – Implementation and Use Descriptive – Product Development
Studies that test how well something works including but not limited to randomly dividing people into groups and comparing the results.
The Economics Of Algorithmic Personalization: Evidence From An Educational Technology Platform
Keshav Agrawal, Susan Athey, Ayush Kanodia, Shanjukta Nath, Emil Palikot. (03/2026). NBER.
Report From Workshop On Dialogue Alongside Artificial Intelligence
Thomas J McKenna, Ingvill Rasmussen, Sten Ludvigsen, Avivit Arvatz, Christa Asterhan, Gaowei Chen, Julie Cohen, Michele Flammia, Dongkeun Han, Emma Hayward, Heather Hill, Yifat Kolikant, Helen Lehndorf, Kexin Li, Lindsay Clare Matsumura, Henrik Tj‚àö‚àènn, Pengjin Wang, Rupert Wegerif. (11/2025). arXiv.
A Meta-Analysis Of LLM Effects On Students Across Qualification, Socialization, And Subjectification
Jiayu Huang, Ruoxin Ritter Wang, Jen-Hao Liu, Boming Xia, Yue Huang, Ruoxi Sun, Jason (Minhui) Xue, Jinan Zou. (09/2025). arXiv.
AI Meets the Classroom: When Do Large Language Models Harm Learning?
Matthias Lehmann, Philipp B. Cornelius, Fabian J. Sting. (03/2025). arXiv.
Home-Tutoring Services Assisted with Technology: Investigating the Role of Artificial Intelligence Using a Randomized Field Experiment
Jun Hyung Kim, Minki Kim, Do Won Kwak, Sol Lee. (09/2021). Sage.
From Chalkboards to Chatbots: Evaluating the Impact of Generative AI on Learning Outcomes in Nigeria
Mart’n De Simone, Federico Tiberti, Maria Barron Rodriguez, Federico Manolio, Wuraola Mosuro, Eliot Jolomi Dikoru. (01/1970). arXiv.
Impact – Randomized Controlled Trial Impact – Quasi-experimental
Studies that combine and summarize all the research on a specific genAI topic to find patterns and answers.
Who Decides In AI-Mediated Learning? The Agency Allocation Framework
Conrad Borchers, Olga Viberg, Rene F. Kizilcec. (04/2026). arXiv.
A Scoping Review Of Large Language Model-Based Pedagogical Agents
Shan Li, Juan Zheng. (04/2026). arXiv.
The Landscape Of AI In Science Education: What Is Changing And How To Respond
Xiaoming Zhai, Kent Crippen. (03/2026). arXiv.
Quantifying Student Success With Generative AI: A Monte Carlo Simulation Informed By Systematic Review
Seyma Yaman Kayadibi. (03/2026). arXiv.
Survey Of Computerized Adaptive Testing: A Machine Learning Perspective
Yan Zhuang, Qi Liu, Haoyang Bi, Zhenya Huang, Weizhe Huang, Jiatong Li, Junhao Yu, Zirui Liu, Zirui Hu, Yuting Hong, Zachary A. Pardos, Haiping Ma, Mengxiao Zhu, Shijin Wang, Enhong Chen. (03/2026). arXiv.
Generative AI Technologies And Educational Outcomes: A Comprehensive Meta-Analysis Comparing Traditional And AI-Driven Approaches
Ying Dong. (03/2026). Humanities and Social Sciences Communications.
We aim to include all research in the above categories on generative AI in preK12 education in the US. As research diverges from genAI for preK12 in the US - such as machine learning, education systems beyond preK12, or studies conducted outside the US - inclusion in the repository is based on relevance to our target audiences:
All students and learners that engage directly with genAI technology.
Who Decides In AI-Mediated Learning? The Agency Allocation Framework
Conrad Borchers, Olga Viberg, Rene F. Kizilcec. (04/2026). arXiv.
Trust And Reliance On AI In Education: AI Literacy And Need For Cognition As Moderators
Griffin Pitts, Neha Rani, Weedguet Mildort. (04/2026). arXiv.
Generative AI In Higher Education: Evidence From An Elite College
Zara Contractor, German Reyes. (04/2026). arXiv.
Comprehension Debt In Genai-Assisted Software Engineering Projects
Muhammad Ovais Ahmad. (04/2026). arXiv.
A Scoping Review Of Large Language Model-Based Pedagogical Agents
Shan Li, Juan Zheng. (04/2026). arXiv.
Assessing The Impact And Underlying Pathways Of Sequenced AI Feedback On Student Learning
Jie Cao, Chloe Qianhui Zhao, Christian Schunn, Elizabeth A. McLaughlin, Jionghao Lin, Kenneth R. Koedinger. (04/2026). arXiv.
Education support organizations (unions, parent groups, etc.).
Pacee: Parent-Centered AI Scaffolding For Emotion Education In Early Childhood Conversations
Yu Mei, Xutong Wang, Ziyao Zhang, Yiming Fu, Shiyi Wang, Qingyang Wan, Qinghuan Lan, Chang Liu, Jie Cai, Chun Yu, Yuanchun Shi. (03/2026). arXiv.
Ai4Career: Responsible AI For Stem Career Development At Scale In K-16 Education
Sugana Chawla, Si Chen, Julia Qian, Gina Svarovsky, Alison Cheng, Rick Johnson, Nitesh V. Chawla, Ronald Metoyer. (03/2026). arXiv.
A Privacy By Design Framework For Large Language Model-Based Applications For Children
Diana Addae, Diana Rogachova, Nafiseh Kahani, Masoud Barati, Michael Christensen, Chen Zhou. (02/2026). arXiv.
Division Of Labor And Collaboration Between Parents In Family Education
Ziyi Wang, Congrong Zhang, Jingying Deng, Xiaofan Hu, Jie Cai, Nan Gao, Chun Yu, Haining Zhang. (02/2026). arXiv.
Kahaani: A Multimodal Co-Creative Storytelling System
Samee Arif, Muhammad Saad Haroon, Aamina Jamal Khan, Taimoor Arif, Agha Ali Raza, Awais Athar. (02/2026). arXiv.
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.
Academic researchers and Global education leaders.
Who Decides In AI-Mediated Learning? The Agency Allocation Framework
Conrad Borchers, Olga Viberg, Rene F. Kizilcec. (04/2026). arXiv.
A Scoping Review Of Large Language Model-Based Pedagogical Agents
Shan Li, Juan Zheng. (04/2026). arXiv.
Use Of AI Tools: Guidelines To Maintain Academic Integrity In Computing Colleges
Hatem M. El-boghdadi, Toqeer Ali Syed, Ali Akarma, and Qamar Wali. (04/2026). arXiv.
Offline-First LLM Architecture For Adaptive Learning In Low-Connectivity Environments
Joseph Walusimbi, Ann Move Oguti, Joshua Benjamin Ssentongo, Keith Ainebyona. (04/2026). arXiv.
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. (04/2026). arXiv.
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. (04/2026). arXiv.
Superintendents, state, and federal K12 leaders; Leadership and product teams at technology companies.
Machine Learning Grade Prediction Using Students' Grades And Demographics
Mwayi SONKHANANI, Symon CHIBAYA, Clement N. NYIRENDA. (02/2026). arXiv.
Trustworthiness Of Legal Considerations For The Use Of Llms In Education
Sara Alaswad, Tatiana Kalganova, Wasan Awad. (02/2026). arXiv.
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.
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.
An Exploration Of Higher Education Course Evaluation By Large Language Models
Bo Yuan, Jiazi Hu. (12/2025). arXiv.
Bidirectional Human-Ai Alignment In Education For Trustworthy Learning Environments
Hua Shen, NYU Shanghai, New York University. (12/2025). arXiv.
