Research Study Repository
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Showing 31 - 60 of 224 results
Designing Ai Peers For Collaborative Mathematical Problem Solving With Middle School Students: A Participatory Design Study
Wenhan Lyu, Yimeng Wang, Murong Yue, Yifan Sun, Jennifer Suh, Meredith Kier, Ziyu Yao, and Yixuan Zhang. (01/2026). arXiv.
What is the application? Learning – Student Support, Communicating / Social Tools
Who is the user? Student
Which age? Middle School (6-8)
Why use AI? Outcomes – Numeracy, Outcomes – Social Emotional, Outcomes – Durable Skills, Reimagined Schooling
Study design: Descriptive – Product Development, Quantitative – OthersDo Teachers Dream Of Genai Widening Educational (In)Equality? Envisioning The Future Of K-12 Genai Education From Global Teachers' Perspectives
Ruiwei Xiao, Qing Xiao, Xinying Hou, Phenyo Phemelo Moletsane, Hanqi Jane Li, Hong Shen, John Stamper. (01/2026). arXiv.
What is the application? Teaching – Instructional Materials, Learning – Student Support
Who is the user? Student, Educator
Which age? Middle School (6-8), High School (9-12)
Why use AI? Outcomes – Literacy, Outcomes – Numeracy, Outcomes – Differentiation, Outcomes – Durable Skills, Reimagined Schooling
Study design: Descriptive – Implementation and UseLlama Lima: A Living Meta-Analysis On The Effects Of Generative Ai On Learning Mathematics
Anselm Strohmaier, Samira Bödefeld, Frank Reinhold. (01/2026). 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 ReviewMathedu: Feedback Generation On Problem-Solving Processes For Mathematical Learning Support
Wei-Ling Hsu, Yu-Chien Tang, An-Zi Yen. (01/2026). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Student
Which age? Post-Secondary
Why use AI? Outcomes – Numeracy, Outcomes – Differentiation
Study design: Technical – ComputationalA Survey Of Self-Evolving Agents What, When, How, And Where To Evolve On The Path To Artificial Super Intelligence
Huan-ang Gao, Jiayi Geng, Wenyue Hua, Mengkang Hu, Xinzhe Juan, Hongzhang Liu, Shilong Liu, Jiahao Qiu, Xuan Qi, Qihan Ren, Yiran Wu, Hongru Wang, Han Xiao, Yuhang Zhou, Shaokun Zhang, Jiayi Zhang, Jinyu Xiang, Yixiong Fang, Qiwen Zhao, Dongrui Liu, Cheng Qian, Zhenhailong Wang, Minda Hu, Huazheng Wang, Qingyun Wu, Heng Ji, Mengdi Wang. (01/2026). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Teaching – Professional Learning, Learning – Student Support
Who is the user? Student, Educator
Which age? Middle School (6-8), High School (9-12), Post-Secondary, Adult
Why use AI? Efficiency, Outcomes – Numeracy, Outcomes – Differentiation, Reimagined Schooling
Study design: Systematic ReviewMathdoc: Benchmarking Structured Extraction And Active Refusal On Noisy Mathematics Exam Papers
Chenyue Zhou, Jiayi Tuo, Shitong Qin, Wei Dai, Mingxuan Wang, Ziwei Zhao, Duoyang Li, Shiyang Su, Yanxi Lu, Yanbiao Ma. (01/2026). arXiv.
What is the application? Analyzing
Who is the user? Others
Which age? High School (9-12)
Why use AI? Outcomes – Numeracy, Outcomes – Differentiation
Study design: Technical – ComputationalBreaking Robustness Barriers In Cognitive Diagnosis: A One-Shot Neural Architecture Search Perspective
Ziwen Wang, Shangshang Yang, Xiaoshan Yu, Haiping Ma, Xingyi Zhang. (01/2026). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user?
Which age? Middle School (6-8), High School (9-12)
Why use AI? Outcomes – Numeracy, Outcomes – Differentiation
Study design: Technical – ComputationalMalrulelib: Large-Scale Executable Misconception Reasoning With Step Traces For Modeling Student Thinking In Mathematics
Xinghe Chen, Naiming Liu, Shashank Sonkar. (01/2026). arXiv.
What is the application? Analyzing
Who is the user?
Which age? Middle School (6-8), High School (9-12)
Why use AI? Outcomes – Numeracy, Outcomes – Differentiation
Study design: Descriptive – Product Development, Technical – ComputationalProblems With Large Language Models For Learner Modelling: Why Llms Alone Fall Short For Responsible Tutoring In K-12 Education
Danial Hooshyar, Yeongwook Yang, Gustav Sir, Tommi Karkkainen, Raija Hamalainen, Mutlu Cukurova, Roger Azevedo. (12/2025). arXiv.
What is the application? Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Student
Which age? Middle School (6-8), High School (9-12)
Why use AI? Outcomes – Numeracy, Outcomes – Differentiation
Study design: Technical – ComputationalSynthetic Fluency And Epistemic Offloading In Undergraduate Mathematics In The Age Of Ai
Siyuan Wang, Qing Xia, Qiong Ye. (12/2025). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Outcomes – Numeracy, Outcomes – Durable Skills, Reimagined Schooling
Study design: Quantitative – OthersBridging Psychometric And Content Development Practices With Ai: A Community-Based Workflow For Augmenting Hawaiian Language Assessments
Pōhai Kūkea-Shultz, Frank Brockmann. (12/2025). arXiv.
What is the application? Teaching – Assessment and Feedback
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, Other
Study design: Descriptive – Implementation and Use, Descriptive – Product DevelopmentComprehensive Ai Literacy: The Case For Centering Human Agency
Sri Yash Tadimalla, Justin Cary, Gordon Hull, Jordan Register, Tina Heafner, Daniel Maxwell, David Pugalee. (12/2025). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support, Analyzing
Who is the user? Student, Educator
Which age? Middle School (6-8), High School (9-12), Post-Secondary
Why use AI? Outcomes – Numeracy, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills
Study design:Unveiling User Perceptions In The Generative Ai Era: A Sentiment-Driven Evaluation Of Ai Educational Apps' Role In Digital Transformation Of E-Teaching
Adeleh Mazaherian, Erfan Nourbakhsh. (12/2025). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support, Organizing
Who is the user? Student, Educator
Which age? 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 Use, Quantitative – OthersLarge Language Models For Education And Research: An Empirical And User Survey-Based Analysis
Md Mostafizer Rahman, Ariful Islam Shiplu, Md Faizul Ibne Amin, Yutaka Watanobe, Lu Peng. (12/2025). arXiv.
What is the application? Teaching – Instructional Materials, Learning – Student Support, Analyzing
Who is the user? Student, Educator, Others
Which age? Post-Secondary, Adult
Why use AI? Efficiency, Outcomes – Numeracy, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Descriptive – Implementation and Use, Technical – Computational, Quantitative – Others, Systematic ReviewEzyer: A Simulacrum Of High School With Generative Agent
Jinming Yang, Zimu Ji, Weiqi Luo, Gaoxi Wang, Bin Ma, Yueling Deng. (12/2025). arXiv.
What is the application? Teaching – Instructional Materials, Learning – Student Support
Who is the user? Student, Educator
Which age? High School (9-12)
Why use AI? Efficiency, Outcomes – Numeracy, Outcomes – Differentiation, Reimagined Schooling
Study design: Descriptive – Product Development, Technical – ComputationalConfident Rag: Enhancing The Performance Of Llms For Mathematics Question Answering Through Multi-Embedding And Confidence Scoring
Shiting Chen, Zijian Zhao and Jinsong Chen. (11/2025). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Middle School (6-8)
Why use AI? Outcomes – Numeracy
Study design: Technical – ComputationalEdueval: A Hierarchical Cognitive Benchmark For Evaluating Large Language Models In Chinese Education
Guoqing Ma, Jia Zhu, Hanghui Guo, Weijie Shi, Yue Cui, Jiawei Shen, Zilong Li, Yidan Liang. (11/2025). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Analyzing
Who is the user? 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 – Durable Skills, Reimagined Schooling
Study design: Technical – ComputationalExploring Student Interactions With Ai-Powered Learning Tools: A Qualitative Study Connecting Interaction Patterns To Educational Learning Theories
Prathamesh Muzumdar, Sumanth Cheemalapati. (11/2025). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Outcomes – Literacy, Outcomes – Numeracy, Outcomes – Differentiation, Outcomes – Social Emotional, Outcomes – Durable Skills
Study design: Descriptive – Implementation and UseTraining For Obsolescence? The Ai-Driven Education Trap
Andrew J. Peterson. (11/2025). arXiv.
What is the application? Teaching – Instructional Materials, Learning – Student Support
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 – Social Emotional, Outcomes – Durable Skills
Study design: Descriptive – Implementation and Use, Quantitative – OthersTutor CoPilot: A Human-AI Approach for Scaling Real-Time Expertise
Rose E. Wang, Ana T. Ribeiro, Carly D. Robinson, Susanna Loeb, Dora Demszky. (11/2025). EdWorkingPapers.
What is the application? Learning – Student Support, Teaching – Professional Learning
Who is the user? Educator
Which age? Elementary (PK5), Middle School (6-8)
Why use AI? Efficiency, Outcomes – Numeracy, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Impact – Randomized Controlled TrialMagma-Edu: Multi-Agent Generative Multimodal Framework For Text-Diagram Educational Question Generation
Zhenyu Wu, Jian Li, Hua Huang. (11/2025). arXiv.
What is the application? Teaching – Instructional Materials
Who is the user? Educator
Which age? Middle School (6-8), High School (9-12)
Why use AI? Outcomes – Numeracy, Other
Study design: Technical – ComputationalExploring Families' Use And Mediation Of Generative Ai: A Multi-User Perspective
Shirley Zhang, Dakota Sullivan, Jennica Li, Bengisu Cagiltay, Bilge Mutlu, Heather Kirkorian, Kassem Fawaz. (11/2025). arXiv.
What is the application? Teaching – Instructional Materials, Learning – Student Support
Who is the user? Student, Parent/Caregiver
Which age? Elementary (PK5), Middle School (6-8), High School (9-12)
Why use AI? Outcomes – Literacy, Outcomes – Numeracy, Outcomes – Other Academic, Outcomes – Social Emotional, Outcomes – Durable Skills, Other
Study design: Descriptive – Implementation and UseLlms4All: A Review Of Large Language Models Across Academic Disciplines
Yanfang (Fanny) Ye, Zheyuan Zhang, Tianyi Ma, Zehong Wang, Yiyang Li, Shifu Hou, Weixiang Sun, Kaiwen Shi, Yijun Ma, Wei Song, Ahmed Abbasi, Ying Cheng, Jane Cleland-Huang, Steven Corcelli, Robert Goulding, Ming Hu, Ting Hua, John Lalor, Fang Liu, Tengfei Luo, Edward Maginn, Nuno Moniz, Jason Rohr, Brett Savoie, Daniel Slate, Matthew Webber, Olaf Wiest, Johnny Zhang, Nitesh V Chawla. (11/2025). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Student, Educator
Which age? Elementary (PK5), High School (9-12), Post-Secondary, Adult
Why use AI? Efficiency, Outcomes – Numeracy, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills, Reimagined Schooling, Other
Study design: Technical – Computational, Systematic ReviewSimulated Human Learning In A Dynamic, Partially-Observed, Time-Series Environment
Jeffrey Jiang, Kevin Hong, Gregory Pottie, Emily Kuczynski. (11/2025). arXiv.
What is the application? Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Numeracy, Outcomes – Differentiation
Study design: Descriptive – Product Development, Technical – ComputationalExplain With Visual Keypoints Like A Real Mentor! A Benchmark For Multimodal Solution Explanation
Jaewoo Park, Jungyang Park, Dongju Jang, Jiwan Chung, Byungwoo Yoo, Jaewoo Shin, Seonjoon Park, Taehyeong Kim, Youngjae Yu. (11/2025). arXiv.
What is the application? Teaching – Instructional Materials
Who is the user?
Which age? Middle School (6-8), High School (9-12)
Why use AI? Outcomes – Numeracy
Study design: Technical – ComputationalAutosynth: Automated Workflow Optimization For High-Quality Synthetic Dataset Generation Via Monte Carlo Tree Search
Shuzhen Bi, Chang Song, Siyu Song, Jinze Lv, Jian Chen, Xinyun Wang, Aimin Zhou, Hao Hao. (11/2025). arXiv.
What is the application? Teaching – Instructional Materials
Who is the user? Educator
Which age? Elementary (PK5), Middle School (6-8)
Why use AI? Efficiency, Outcomes – Numeracy, Outcomes – Other Academic, Reimagined Schooling
Study design: Descriptive – Product Development, Technical – ComputationalUco: A Multi-Turn Interactive Reinforcement Learning Method For Adaptive Teaching With Large Language Models
Shouang Wei, Min Zhang, Xin Lin, Bo Jiang, Kun Kuang, Zhongxiang Dai. (11/2025). arXiv.
What is the application? Teaching – Instructional Materials, Learning – Student Support
Who is the user? Educator
Which age? Middle School (6-8), High School (9-12)
Why use AI? Outcomes – Numeracy, Outcomes – Differentiation
Study design: Technical – ComputationalA Matter Of Interest: Understanding Interestingness Of Math Problems In Humans And Language Models
Shubhra Mishra, Yuka Machino, Gabriel Poesia, Albert Jiang, Joy Hsu, Adrian Weller, Challenger Mishra, David Broman, Joshua B. Tenenbaum, Mateja Jamnik, Cedegao E. Zhang, Katherine M. Collins. (11/2025). arXiv.
What is the application? Teaching – Instructional Materials
Who is the user? Others
Which age? Post-Secondary, Adult
Why use AI? Outcomes – Numeracy, Reimagined Schooling
Study design: Technical – Computational, Quantitative – OthersAi Tutoring Can Safely And Effectively Support Students: An Exploratory Rct In Uk Classrooms
LearnLM Team, Google & Eedi. (11/2025). Google.
What is the application? Learning – Student Support
Who is the user? Student, Educator
Which age? High School (9-12)
Why use AI? Efficiency, Outcomes – Numeracy, Outcomes – Durable Skills
Study design: Impact – Randomized Controlled TrialDiagramir: An Automatic Pipeline For Educational Math Diagram Evaluation
Vishal Kumar, Shubhra Mishra, Rebecca Hao, Rizwaan Malik, David Broman, Dorottya Demszky. (11/2025). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Educator
Which age? Elementary (PK5), Middle School (6-8), High School (9-12)
Why use AI? Efficiency, Outcomes – Numeracy
Study design: Technical – Computational
