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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.
Culturally-Aware AI For Cross-Boundary Community Learning: Undergraduate Innovation At The Intersection Of Computation And Design
Jiaojiao Zhao, Weisheng Zhang, Jiawen Cai, Haibin Gao, Luyao Zhang. (08/2026). arXiv.
Curriculum As Code: An AI-Assisted Architecture For Instructional Design In STEM Education
Henrique Mohallem Paiva. (08/2026). arXiv.
Instructional Governance By Design: A Framework For AI In Computing Education
Ethan Dickey. (08/2026). arXiv.
AI-Integrated Scientific Inquiry: A Practice-Centered Vision For Science Education
Arne Bewersdorff, Matias Rojas, Xiaoming Zhai. (07/2026). arXiv.
A Tool-Invariant Framework For Teaching And Assessing Computational Methods In The Age Of Agentic AI
Larry Engelhardt. (07/2026). arXiv.
How Well Does AI-Generated Feedback Work? Intrinsic And Extrinsic Evaluation Across More Than 20,000 Efl Essay Drafts
Steven Coyne, Diana Galvan-Sosa, Ryan Spring, Machi Shimmei, Michael Zock, Keisuke Sakaguchi, Kentaro Inui. (07/2026). 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.
Teaching with Gemini: Measuring the impact of Guided Learning on student mathematics progress in Sierra Leone
LearnLM Team, Google & Fab AI. (05/2026). Google.
Maic-Ui: Making Interactive Courseware With Generative Ui
Shangqing Tu, Yanjia Li, Keyu Chen, Sichen Zhang, Jifan Yu, Daniel Zhang-Li, Lei Hou, Juanzi Li, Yu Zhang, Huiqin Liu. (04/2026). arXiv.
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.
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. (05/2025). 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.
The Policy Deficit In AI X Social-Emotional Learning Research
Tran Van Cuong, Liu Yihan, Nguyen Van Tuong. (08/2026). arXiv.
Mirroring The Past: Exploring How Ancestral Digital Self Influences History Learning
Duo Gong, Fan Sun, Yucen Wang, Yufan Hu, Wen Zhong, Wei Zhang, Pengcheng An. (08/2026). arXiv.
A Multi-Agent AI Classroom Based On Dual-Process Reasoning Hazards: A Pilot With Prospective Physics Teachers
Eugenio TUFINO. (08/2026). arXiv.
Rethinking Generative AI Literacy: An Integrative, Developmental, And Dialectical Framework For K-12 Teacher Education
Shahin Hossain, Sima Ahmadi, Leqi Li, Idowu David Awoyemi, Wei Huang, Chenxi Zhou, Jujia Li, Samaa Haniya, Shapla Khanam, Tasbirun Mashreka Subaha. (08/2026). arXiv.
Llama Lima: A Living Meta-Analysis On The Effects Of Generative AI On Learning Mathematics
Anselm Strohmaier, Samira Bodefeld, Frank Reinhold. (07/2026). arXiv.
Generative AI And Agency In Education: A Critical Scoping Review And Thematic Analysis
Jasper Roe, Mike Perkins. (07/2026). arXiv.
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.
Practical Implementation Report On Introducing Spec-Driven Development Using AI Agents In Software Development Pbl
Hidetake Tanaka, Hiroshi Igaki, Kazumasa Shimari, Kiyoshi Honda, Naoki Fukuyasu. (08/2026). arXiv.
Generativism: Toward A Learning Theory For The Age Of Generative Artificial Intelligence
Shan Li, Juan Zheng. (08/2026). arXiv.
A Guided Inquiry Approach To Students Co-Designing Generative AI Course Policies
Ashish Hingle, Aditya Johri. (08/2026). arXiv.
Reclaiming Epistemic Agency: A Critical Framework For Human-Generative AI Co-Agency In Education
Biranchi Poudyal. (08/2026). arXiv.
Learning To Prompt: Improving Student Engagement With Adaptive LLM-Based High-School Tutoring
Po-Chin Chang, Nicholas Hogan, Aske Plaat, Michiel T. van der Meer. (08/2026). arXiv.
When LLMs Slow Down: How Environmental Impacts Mediate University Students'LLM Usage
Hyeonwook Kim, Xuesi Chen, Alex Cabral, Cindy Kaiying Lin, Udit Gupta, Josiah Hester. (08/2026). arXiv.
Education support organizations (unions, parent groups, etc.).
Virtual Tutoring with Computer-Assisted Learning: An Experiment in Take-Up and Learning
Philip Oreopoulos, Ruochong Dong, Nina Low. (08/2026). NBER.
Generative AI And Agency In Education: A Critical Scoping Review And Thematic Analysis
Jasper Roe, Mike Perkins. (07/2026). arXiv.
How Annotation Trains Annotators: Competence Development In Social Influence Recognition
Maciej Markiewicz, Beata Bajcar, Wiktoria Mieleszczenko-Kowszewicz, Aleksander Szczƒôsny, Tomasz Adamczyk, Grzegorz Chodak, Karolina Ostrowska, Aleksandra Sawczuk, Jolanta Babiak, Jagoda Szklarczyk, Przemyslaw Kazienko. (07/2026). arXiv.
Tinker Tales: A Tangible Dialogue System for Child-AI Co-Creative Storytelling
Nayoung Choi, Jiseung Hong, Peace Cyebukayire, Ikseon Choi and Jinho D. Choi. (06/2026). arXiv.
Design Principles And Observable Indicators For AI-Enabled Pedagogical Accompaniment: Evidence From The Amico Dual-Mode Prototype In Italy And China
Pier Paolo Benedetti. (05/2026). arXiv.
Adesua: Development And Feasibility Study Of An AI Whatsapp Bot For Science Learning In West Africa
George Boateng, Evans Atompoya, Philemon Badu, Samuel John, Samuel Ansah, Patrick Agyeman-Budu, and Victor Kumbol. (05/2026). arXiv.
Academic researchers and Global education leaders.
When Saying No Makes Better Videos: Designing Dual Gatekeeping For Pedagogically Grounded AI Content Creation
Yearim Kim, Injun Baek, Nojun Kwak. (08/2026). arXiv.
Reclaiming Epistemic Agency: A Critical Framework For Human-Generative AI Co-Agency In Education
Biranchi Poudyal. (08/2026). arXiv.
Uniform And Accelerated Circular Motion With A Smartphone: A No-Code, AI-Generated Browser Laboratory
Josep Ll. Suner, Francisco M. Munoz-Perez, Juan C. Castro-Palacio, Juan A. Monsoriu, Martin Monteiro, Cecilia Stari, Arturo C. Martí. (08/2026). arXiv.
The AI Adaptation Gap In Higher Education: Students, Faculty, And Administrative Staff
Yuriy S. Braun, Salavat M. Khafizov. (08/2026). arXiv.
Large-Scale AI Grading Of Handwritten Physics Assessments: Score Agreement And Olympiad Team Selection Outcomes
Praveen Pathak, Siddharth Tiwary, Charudatt Kadolkar, Vijay Singh, David Rakestraw, Shirish Pathare, Anwesh Mazumdar. (08/2026). arXiv.
Learnai: Just-In-Time AI Co-Creation Across Disciplines At A University
Weihao Qu, Ling Zheng, Chris Buzaid, Daniel Crawford. (08/2026). arXiv.
Superintendents, state, and federal K12 leaders; Leadership and product teams at technology companies.
Human-LLM Collaborative Inductive Coding For Conceptualizing K-12 Educator AI Use
Alex Liu, Min Sun, Lief Esbenshade, Michael Xiao, Victor Tian, Zachary Zhang, Kevin He. (07/2026). arXiv.
From Chaos To Clarity: A Framework For Program-Level AI Learning Outcomes
Grace Barkhuff, Ian Pruitt, William Gregory Johnson, Rodrigo Borela, Ben Rydal Shapiro, Anu G. Bourgeois. (07/2026). arXiv.
AI Diffusion Gaps: Unequal Integration of AI Across K-12 School
Christopher Campos, John D. Singleton. (06/2026). NBER.
Practitioner Beliefs And Behaviors In AI-Enhanced Education: Dot Framework Survey Evidence
David Gibson, M. Elizabeth Azukas, Gerald Knezek. (05/2026). arXiv.
Prediction Model Of Motivators And Demotivators Of Integrating Large Language Models In Software Engineering Education: An Empirical Study
Maryam Khan, Muhammad Azeem Akbar, Jussi Kasurinen, Estefanía Martín-Barroso. (05/2026). arXiv.
