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Research Study Repository
Research synthesis is AI-generated, human reviewed. Updated 08/2026.
Showing 31 - 60 of 245 results
Artificial Intelligence In Secondary Education: Educational Affordances And Constraints Of ChatGPT-4O Use
Tryfon Sivenas, Panagiota Maragkaki. (03/2026). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Student
Which age? High School (9-12)
Why use AI? Outcomes – Literacy, Outcomes – Numeracy, Outcomes – Other Academic, Outcomes – Durable Skills
Study design: Quantitative – OthersFacet: Teacher-Centred LLM-Based Multi-Agent Systems- Towards Personalized Educational Worksheets
Jana Gonnermann-Muller, Jennifer Haase, Konstantin Fackeldey, Sebastian Pokutta. (03/2026). arXiv.
What is the application? Teaching – Instructional Materials
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, Outcomes – Social Emotional
Study design: Descriptive – Product Development, Technical – Computational, Quantitative – OthersHeal: Hindsight Entropy-Assisted Learning For Reasoning Distillation
Wenjing Zhang, Jiangze Yan, Jieyun Huang, Yi Shen, Shuming Shi, Ping Chen, Ning Wang, Zhaoxiang Liu, Kai Wang, Shiguo Lian. (03/2026). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback
Who is the user?
Which age? High School (9-12), Post-Secondary
Why use AI? Outcomes – Numeracy, Outcomes – Differentiation
Study design: Technical – ComputationalWhen Shallow Wins: Silent Failures And The Depth-Accuracy Paradox In Latent Reasoning
Subramanyam Sahoo, Aman Chadha, Vinija Jain, Divya Chaudhary. (03/2026). arXiv.
What is the application? Learning – Student Support
Who is the user?
Which age? Elementary (PK5), Middle School (6-8)
Why use AI? Outcomes – Numeracy
Study design: Technical – ComputationalConversational Learning Diagnosis Via Reasoning Multi-Turn Interactive Learning
Fangzhou Yao, Sheng Chang, Weibo Gao, Qi Liu. (03/2026). arXiv.
What is the application? Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Student, Educator
Which age? Elementary (PK5), Middle School (6-8), High School (9-12)
Why use AI? Efficiency, Outcomes – Numeracy, Outcomes – Differentiation
Study design: Descriptive – Product Development, Technical – ComputationalFaster, Cheaper, More Accurate: Specialised Knowledge Tracing Models Outperform Llms
Prarthana Bhattacharyya, Joshua Mitton, Simon Woodhead, Ralph Abboud. (03/2026). arXiv.
What is the application? Teaching – Assessment and Feedback, Analyzing
Who is the user?
Which age? Elementary (PK5), Middle School (6-8), High School (9-12)
Why use AI? Efficiency, Outcomes – Numeracy, Outcomes – Differentiation
Study design: Technical – ComputationalThe Aftermath Of Drawedumath: Vision Language Models Underperform With Struggling Students And Misdiagnose Errors
Li Lucy, Albert Zhang, Nathan Anderson, Ryan Knight, Kyle Lo. (03/2026). arXiv.
What is the application? Teaching – Assessment and Feedback, Learning – Student Support
Who is the user?
Which age? Elementary (PK5), Middle School (6-8), High School (9-12)
Why use AI? Outcomes – Numeracy
Study design: Technical – ComputationalLlama Lima: A Living Meta-Analysis On The Effects Of Generative AI On Learning Mathematics Version 2, 03/26
Anselm Strohmaier, Samira Bodefeld, Oliver Straser, Frank Reinhold. (03/2026). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Teaching – Professional Learning, Learning – Student Support, Communicating / Social Tools
Who is the user? Student, Educator
Which age? Elementary (PK5), Middle School (6-8), High School (9-12), Post-Secondary, Adult
Why use AI? Outcomes – Numeracy, Outcomes – Differentiation
Study design: Systematic ReviewConfusion-Aware Rubric Optimization For Llm-Based Automated Grading
Yucheng Chu, Hang Li, Kaiqi Yang, Yasemin Copur-Gencturk, Joseph Krajcik, Namsoo Shin, Jiliang Tang. (02/2026). arXiv.
… can misinterpret expert guidelines or lack necessary domain specificity. Consequently, the field has moved toward … step, resulting in "rule dilution" where conflicting constraints weaken the model's grading logic. To address these … into distinct modes, allowing for the diagnosis and repair of specific misclassification patterns individually. By …What is the application? Teaching – Assessment and Feedback
Who is the user? Educator
Which age? Elementary (PK5), High School (9-12), Adult
Why use AI? Efficiency, Outcomes – Numeracy, Outcomes – Other Academic
Study design: Technical – ComputationalAitutor-Evalkit: Exploring The Capabilities Of AI Tutors
Numaan Naeem, Kaushal Kumar Maurya, Kseniia Petukhova, Ekaterina Kochmar. (02/2026). arXiv.
What is the application? Analyzing
Who is the user? Educator, Others
Which age? Middle School (6-8)
Why use AI? Efficiency, Outcomes – Numeracy, Other
Study design: Descriptive – Product Development, Technical – Computational, Quantitative – OthersBeyond Single-Turn: A Survey On Multi-Turn Interactions With Large Language Models
Yubo Li, Xiaobin Shen, Xinyu Yaot, Xueying Ding, Yidi Miaot, Krishnan Ramayya, Rema Padman. (02/2026). 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? Elementary (PK5), High School (9-12), Post-Secondary
Why use AI? Efficiency, Outcomes – Numeracy, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills, Other
Study design: Technical – Computational, Quantitative – Others, Systematic ReviewBeyond End-To-End Video Models: An Llm-Based Multi-Agent System For Educational Video Generation
Lingyong Yan, Jiulong Wu, Dong Xie, Weixian Shi, Deguo Xia, Jizhou Huang. (02/2026). 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 – Literacy, Outcomes – Numeracy
Study design: Descriptive – Product Development, Technical – ComputationalVisual Reasoning Benchmark: Evaluating Multimodal Llms On Classroom-Authentic Visual Problems From Primary Education
Mohamed Huti, Alasdair Mackintosh, Amy Waldock, Dominic Andrews, Maxime Leliievre, Moritz Boos, Tobias Murray, Paul Atherton, Robin A. A. Ince, Oliver G. B. Garrod. (02/2026). arXiv.
What is the application? Teaching – Assessment and Feedback, Learning – Student Support
Who is the user?
Which age? Elementary (PK5), Middle School (6-8)
Why use AI? Outcomes – Numeracy
Study design: Technical – ComputationalIntegrating Generative AI-Enhanced Cognitive Systems In Higher Education: From Stakeholder Perceptions To A Conceptual Framework Considering The Eu AI Act
Da-Lun Chen, Prasasthy Balasubramanian, Lauri Loven, Susanna Pirttikangas, Jaakko Sauvola, Panagiotis Kostakos. (02/2026). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support, Organizing, Analyzing
Who is the user? Student, Educator, Others
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Numeracy, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills, Other
Study design: Descriptive – Product Development, Quantitative – OthersLanguage Bottleneck Models For Qualitative Knowledge State Modeling
Antonin Berthon, Mihaela van der Schaar. (02/2026). arXiv.
What is the application? 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 – Numeracy, Outcomes – Differentiation, Reimagined Schooling
Study design: Technical – ComputationalDo 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. (02/2026). arXiv.
What is the application? Learning – Student Support, Teaching – Instructional Materials
Who is the user? Student, Educator
Which age? Middle School (6-8), High School (9-12)
Why use AI? Outcomes – Literacy, Outcomes – Numeracy, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills, Reimagined Schooling
Study design: Descriptive – Implementation and UseOpen Mathematical Tasks As A Didactic Response To Generative Artificial Intelligence In Post-AI Contexts
Felix De la Cruz Serrano. (02/2026). 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: Descriptive – Implementation and UseLlm Agents For Education: Advances And Applications
Zhendong Chu, Shen Wang, Jian Xie, Tinghui Zhu, Yibo Yan, Jinheng Ye, Aoxiao Zhong, Xuming Hu, Jing Liang, Philip S. Yu, Qingsong Wen. (02/2026). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Teaching – Professional Learning, Learning – Student Support, Communicating / Social Tools
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
Study design: Systematic ReviewBenchmarking Large Language Models For Diagnosing Students' Cognitive Skills From Handwritten Math Work
Yoonsu Kim, Hyoungwook Jin, Hayeon Doh, Eunhye Kim, Dongyun Jung, Seungju Kim, Kiyoon Choi, Jinho Son, Juho Kim. (02/2026). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Educator
Which age? Middle School (6-8)
Why use AI? Outcomes – Numeracy
Study design: Technical – ComputationalLearning Context: A Unified Framework And Roadmap For Context-Aware Ai In Education
Naiming Liu, Brittany Bradford, Johaun Hatchett, Gabriel Diaz, Lorenzo Luzi, Zichao Wang, Debshila Basu Mallick, Richard Baraniuk. (01/2026). arXiv.
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), High School (9-12), Post-Secondary
Why use AI? Efficiency, Outcomes – Numeracy, Outcomes – Differentiation, Outcomes – Durable Skills, Other
Study design: Descriptive – Product Development, Impact – Randomized Controlled Trial, Technical – ComputationalDo 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 UseDesigning 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 – OthersA Comprehensive Exploration Of Personalized Learning In Smart Education: From Student Modeling To Personalized Recommendations
Siyu Wu, Yang Cao, Runze Li, Jiajun Cui, Hong Qian, Bo Jiang, Wei Zhang. (01/2026). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support, Analyzing
Who is the user? Student
Which age? 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 – Social Emotional, Outcomes – Durable Skills, Reimagined Schooling
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 – Others
