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Research Study Repository
Research synthesis is AI-generated, human reviewed. Updated 11/2026.
Showing 1 - 30 of 259 results
Not Faster, But Better: Generative AI And Teacher Skill In Peru
Carla Z. Glave, Carolina Lopez, Ezequiel Molina, Roman Andres Zarate. (10/2026). World Bank.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Teaching – Professional Learning, Communicating / Social Tools, Organizing
Who is the user? Educator
Which age? Middle School (6-8)
Why use AI? Efficiency, Outcomes – Numeracy, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Impact – Randomized Controlled TrialTeacher-Mediated Multimodal Platform And Math Achievement: Evidence From Goblins' Yearlong District Implementation
Anika Alam, Nicolas Dominguez-Mel, Jing Liu. (10/2026). EdWorking Papers.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Student, Educator
Which age? Middle School (6-8)
Why use AI? Efficiency, Outcomes – Numeracy, Outcomes – Differentiation
Study design: Impact – Quasi–experimentalCharacterizing LLM-Based Family Education Through The Lens Of Activity Theory: A Scoping Review Of The Hci Literature
Lan Luo, Yuqi Liang, Jie Cai, Anqi Wang, Dongyijie Primo Pan, Muzhi Zhou, Chun Yu, Pan Hui. (09/2026). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Teaching – Professional Learning, Learning – Student Support, Communicating / Social Tools, Organizing, Analyzing
Who is the user? Student, Parent/Caregiver, Educator, Others
Which age? Elementary (PK5), Middle School (6-8), High School (9-12), Adult
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Numeracy, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Social Emotional, Outcomes – Durable Skills, Reimagined Schooling
Study design: Systematic ReviewStudentbench: AI And Human Tutoring Yield Equivalent Gre Learning Gains
Curtis Northcutt, Inaara Hasmani, Kevin Feng, Trevor Khangi, Andreas Plesner, Jonas Mueller. (09/2026). arXiv.
What is the application? Teaching – Instructional Materials, Learning – Student Support
Who is the user? Student, Educator
Which age? Post-Secondary, Adult
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Numeracy, Outcomes – Other Academic, Outcomes – Differentiation
Study design: Impact – Randomized Controlled Trial, Quantitative – OthersWhen AI Tutors Speak: Evidence From A Randomized Field Experiment
Shihao Yang, Marshall Van Alstyne, Chrysanthos Dellarocas. (09/2026). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Student
Which age? Post-Secondary, Adult
Why use AI? Outcomes – Numeracy, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Impact – Randomized Controlled TrialFrom Content Generation To Learning Support: Pedagogy-Guided Generative Video Tutors For STEM Learning
Xinchen Ma, Shuimu Wang, Gaole He, Yanbin Zhang, Chunyang Wang, Yunshi Lan, Weining Qian. (09/2026). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Student, Educator
Which age? High School (9-12), Post-Secondary
Why use AI? Efficiency, Outcomes – Numeracy, Outcomes – Other Academic, Outcomes – Differentiation
Study design: Descriptive – Product Development, Technical – Computational, Quantitative – OthersLittle Impact Of ChatGPT On High School Test Scores
Nick Huntington-Klein. (09/2026). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? High School (9-12)
Why use AI? Outcomes – Literacy, Outcomes – Numeracy, Outcomes – Other Academic
Study design: Impact – Quasi–experimentalA Brief AI Literacy Intervention Does Not Significantly Reduce Over-Reliance And Increases Under-Reliance On ChatGPT: A Randomized Study
Brett Puppart, Jaan Aru. (09/2026). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? High School (9-12)
Why use AI? Outcomes – Numeracy, Outcomes – Durable Skills
Study design: Impact – Randomized Controlled TrialMathematics Graduate Training In The Age Of AI
David Glickenstein. (09/2026). arXiv.
What is the application? Teaching – Instructional Materials, Learning – Student Support
Who is the user? Student, Educator
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Numeracy, Outcomes – Durable Skills
Study design: Descriptive – Implementation and UseLlama Lima: A Living Meta-Analysis On The Effects Of Generative AI On Learning Mathematics
Anselm Strohmaier, Samira Bodefeld, Oliver Straser, Frank Reinhold. (09/2026). arXiv.
What is the application? Teaching – Assessment and Feedback, Learning – Student Support, Communicating / Social Tools
Who is the user? Student
Which age? Middle School (6-8), High School (9-12), Post-Secondary, Adult
Why use AI? Outcomes – Numeracy
Study design: Systematic ReviewStatistical Theory In The Age Of Machine-Assisted Mathematics: Rethinking How Theory Is Made And Taught
Pietro Coretto. (09/2026). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Professional Learning
Who is the user? Student, Others
Which age? Post-Secondary, Adult
Why use AI? Outcomes – Numeracy, Outcomes – Durable Skills, Reimagined Schooling
Study design: Descriptive – Implementation and Use, Descriptive – Product Development, Technical – ComputationalBeyond Helpfulness: A Teaching-Over-Solving Diagnostic For Measuring Educational Impact In LLM Tutors
Junyi Yao, Zihao Zheng, Baichuan Li. (08/2026). arXiv.
What is the application? Learning – Student Support
Who is the user?
Which age? Middle School (6-8), High School (9-12), Post-Secondary
Why use AI? Outcomes – Numeracy, Outcomes – Differentiation, Outcomes – Durable Skills, Reimagined Schooling
Study design: Technical – Computational, Quantitative – OthersGen AI In Proof-Based Math Courses: A Pilot Study
Hannah Klawa, Shraddha Rajpal, Cigole Thomas. (08/2026). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Outcomes – Numeracy
Study design: Descriptive – Implementation and UseMethodologies For Improving The Quality Of AI Tutoring In K-12 Education
Tushar Udeshi, Anna Khazenzon, Kabir Khan, Nick Breen, RJ Corwin, Chris DiGiano, Kodi Weatherholtz, Marek Zaluski. (08/2026). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Elementary (PK5), Middle School (6-8), High School (9-12)
Why use AI? Efficiency, Outcomes – Numeracy
Study design: Impact – Quasi–experimental, Technical – ComputationalEduzone: A Framework For Evaluating LLM Safety For K-12 Students And Teachers
Junyeong Park, Jieun Han, Haneul Yoo, So-Yeon Ahn, Jinsung Yoon, Alice Oh. (08/2026). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Teaching – Professional Learning, Learning – Student Support, Communicating / Social Tools, Analyzing
Who is the user? Student, Educator
Which age? Elementary (PK5), Middle School (6-8), High School (9-12)
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Numeracy, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Social Emotional
Study design: Quantitative – OthersOne Click Away: AI Tutoring with Khanmigo in a Two-Year School Experiment
Philip Oreopoulos, Nina Low. (08/2026). NBER.
What is the application? Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Student, Educator
Which age? Middle School (6-8)
Why use AI? Outcomes – Numeracy, Outcomes – Differentiation
Study design: Impact – Randomized Controlled TrialVirtual Tutoring with Computer-Assisted Learning: An Experiment in Take-Up and Learning
Philip Oreopoulos, Ruochong Dong, Nina Low. (08/2026). NBER.
What is the application? Teaching – Assessment and Feedback, Learning – Student Support, Analyzing
Who is the user? Student, Parent/Caregiver, Educator
Which age? Elementary (PK5), Middle School (6-8)
Why use AI? Efficiency, Outcomes – Numeracy
Study design: Impact – Randomized Controlled TrialMaking AI Tutoring Productive: Evidence from a Mastery-Based Math Practice Experiment
Philip Oreopoulos, Michael Liut, Alp Sungu, Nina Low. (08/2026). NBER.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Middle School (6-8)
Why use AI? Outcomes – Numeracy, Outcomes – Differentiation
Study design: Impact – Randomized Controlled TrialWhat Remains Human In Mathematics In The Age Of AI
Amir Moradifam. (07/2026). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Student, Educator, Others
Which age? Post-Secondary, Adult
Why use AI? Efficiency, Outcomes – Numeracy, Outcomes – Durable Skills
Study design:Generative AI Can Harm Teaching
Alp Sungu, Benjamin Lira, Angela L. Duckworth. (07/2026). SSRN.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Organizing
Who is the user? Educator
Which age? Middle School (6-8), High School (9-12)
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Numeracy, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Social Emotional
Study design: Impact – Randomized Controlled TrialFaster Completion, Less Learning: Generative AI Reduced Study Time On Math Problems And The Knowledge They Build
Sina Rismanchian, Hasan Uzun, Jeffrey Matayoshi, Eric Cosyn, Eyad Kurd-Misto. (07/2026). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Elementary (PK5), Middle School (6-8), High School (9-12), Post-Secondary
Why use AI? Efficiency, Outcomes – Numeracy
Study design: Impact – Quasi–experimentalFrom Answer Generators To Reasoning Facilitators: Designing AI Tutors For Mathematical Reasoning In High-Stakes Environments
Harry Feng, Yuan Tian, Erica Zhao. (07/2026). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Middle School (6-8), High School (9-12)
Why use AI? Outcomes – Numeracy
Study design: Descriptive – Implementation and Use, Descriptive – Product Development, Quantitative – OthersThe Generative AI Learning Penalty: Evidence from Chinese Secondary Education
David Stromberg, Victor Lei, Yanhui Wu. (07/2026). SSRN.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Middle School (6-8), High School (9-12)
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Numeracy, Outcomes – Other Academic
Study design: Impact – Quasi–experimentalLLM-Generated Summaries For Teachers: A Randomized Field Experiment In A Digital Learning Platform
Wen-Chiang Ivan Lim, Eamon Worden, Adam Sales, Neil T. Heffernan III. (06/2026). Proceedings of the 13th ACM Conference on Learning @ Scale (L@S ’26).
What is the application? Teaching – Assessment and Feedback, Organizing, Analyzing
Who is the user? Educator
Which age? Elementary (PK5), Middle School (6-8), High School (9-12)
Why use AI? Efficiency, Outcomes – Numeracy, Outcomes – Differentiation
Study design: Impact – Randomized Controlled TrialAwareness Of Technological Isomorphism: Integrating AI Into Elementary Mathematics Teaching On Data And Prediction, A Case Study Of The Compound Line Graph
Li Li, Yu Cao. (06/2026). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Elementary (PK5)
Why use AI? Outcomes – Numeracy, Outcomes – Other Academic
Study design: Descriptive – Implementation and Use, Quantitative – OthersContext-Aware Prediction Of Student Quiz Performance With Multimodal Textbook Features
Samin Khan. (05/2026). arXiv.
What is the application? Teaching – Assessment and Feedback, Analyzing
Who is the user?
Which age? Post-Secondary
Why use AI? Outcomes – Numeracy, Outcomes – Differentiation
Study design: Technical – ComputationalFacet: 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. (05/2026). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Professional Learning
Who is the user? Educator, School Leader
Which age? Middle School (6-8), High School (9-12)
Why use AI? Efficiency, Outcomes – Numeracy, Outcomes – Differentiation, Reimagined Schooling
Study design: Descriptive – Implementation and Use, Descriptive – Product Development, Quantitative – Others"Would You Want an AI Tutor?" Understanding Stakeholder Perceptions of LLM-based Systems in the Classroom
Caterina Fuligni, Daniel Dominguez Figaredo, Armanda Lewis, Julia Stoyanovich. (05/2026). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Student, Educator, Others
Which age? Elementary (PK5), High School (9-12), Post-Secondary
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Numeracy, Outcomes – Other Academic, Outcomes – Differentiation
Study design: Descriptive – Implementation and Use, Descriptive – Product DevelopmentAddressing The Reality Gap: A Three-Tension Framework For Agentic AI Adoption
Jason Fournier, Kacper Łodzikowski. (05/2026). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Teaching – Professional Learning, Learning – Student Support, Organizing, Analyzing
Who is the user? Student, Educator
Which age? Elementary (PK5), Middle School (6-8), High School (9-12), Post-Secondary
Why use AI? Efficiency, Outcomes – Numeracy, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills, Reimagined Schooling
Study design: Descriptive – Implementation and UseA Scoping Review Of Large Language Model-Based Pedagogical Agents
Shan Li, Juan Zheng. (05/2026). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Teaching – Professional Learning, Learning – Student Support, Communicating / Social Tools, Organizing
Who is the user? Student, Educator
Which age? Elementary (PK5), Middle School (6-8), High School (9-12), Post-Secondary, Adult
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Numeracy, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills, Reimagined Schooling
Study design: Systematic Review
