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Research Study Repository
Research synthesis is AI-generated, human reviewed. Updated 08/2026.
Showing 91 - 120 of 245 results
Pedagogy-Driven Evaluation Of Generative Ai-Powered Intelligent Tutoring Systems
Kaushal Kumar Maurya and Ekaterina Kochmar. (10/2025). arXiv.
What is the application? Teaching – Assessment and Feedback, 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? Outcomes – Literacy, Outcomes – Numeracy, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Technical – Computational, Systematic ReviewRelief Or Displacement? How Teachers Are Negotiating Generative Al'S Role In Their Professional Practice
Aayushi Dangol, Smriti Kotiyal, Robert Wolfe, Alex J. Bowers, Antonio Vigil, Jason Yip, Julie A. Kientz, Suleman Shahid, Tom Yeh, Vincent Cho, Katie Davis. (10/2025). 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? 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: Descriptive – Implementation and UseInterpretability Framework For Llms In Undergraduate Calculus
Sagnik Dakshit, Sushmita Sinha Roy. (10/2025). arXiv.
What is the application? Teaching – Assessment and Feedback, Learning – Student Support, Analyzing
Who is the user? Student, Educator
Which age? Post-Secondary
Why use AI? Outcomes – Numeracy
Study design: Descriptive – Product Development, Technical – Computational, Quantitative – OthersEnumerate-Conjecture-Prove: Formally Solving Answer-Construction Problems In Math Competitions
Jialiang Sun, Yuzhi Tang, Ao Li, Chris J. Maddison, Kuldeep S. Meel. (10/2025). arXiv.
What is the application? Learning – Student Support, Analyzing
Who is the user?
Which age? High School (9-12), Post-Secondary
Why use AI? Outcomes – Numeracy, Outcomes – Durable Skills
Study design: Technical – ComputationalAi-Driven Predictive Models For Optimizing Mathematics Education Technology: Enhancing Decision-Making Through Educational Data Mining And Meta-Analysis
Aneng He, Wenwen Yuan, Lai Soon Lee, Tian Tian. (10/2025). Smart Learning Environments.
What is the application? Analyzing
Who is the user? Educator
Which age? Elementary (PK5), Middle School (6-8), High School (9-12)
Why use AI? Outcomes – Numeracy, Other
Study design: Impact – Quasi–experimental, Technical – Computational, Systematic ReviewBanglamath : A Bangla Benchmark Dataset For Testing Llm Mathematical Reasoning At Grades 6, 7, And 8
Tabia Tanzin Prama, Christopher M. Danforth, Peter Sheridan Dodds. (10/2025). arXiv.
What is the application?
Who is the user?
Which age? Elementary (PK5), Middle School (6-8)
Why use AI? Outcomes – Numeracy
Study design: Technical – ComputationalFrom Problem-Solving To Teaching Problem-Solving: Aligning Llms With Pedagogy Using Reinforcement Learning
David Dinucu-Jianu, Jakub Macina, Nico Daheim, Ido Hakimi, Iryna Gurevych, Mrinmaya Sachan. (10/2025). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Middle School (6-8), High School (9-12), Post-Secondary
Why use AI? Efficiency, Outcomes – Numeracy, Outcomes – Durable Skills
Study design: Technical – ComputationalSurvey Of Natural Language Processing For Education: Taxonomy, Systematic Review, And Future Trends
Yunshi Lan, Xinyuan Li, Hanyue Du, Xuesong Lu, Ming Gao, Weining Qian, Aoying Zhou. (10/2025). 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), Middle School (6-8), High School (9-12), Post-Secondary
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Numeracy, Outcomes – Other Academic, Outcomes – Differentiation
Study design: Technical – Computational, Systematic ReviewFrom Handwriting To Feedback: Evaluating Vlms And Llms For Ai-Powered Assessment In Indonesian Classrooms
Nurul Aisyah, Muhammad Dehan Al Kautsar, Arif Hidayat, Raqib Chowdhury, Fajri Koto. (10/2025). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Educator
Which age? Elementary (PK5)
Why use AI? Outcomes – Literacy, Outcomes – Numeracy, Outcomes – Differentiation
Study design: Descriptive – Implementation and Use, Technical – ComputationalUniedu: Toward Unified And Efficient Large Multimodal Models For Educational Tasks
Zhendong Chu, Jian Xie, Shen Wang, Zichao Wang, Qingsong Wen. (10/2025). 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, Outcomes – Differentiation
Study design: Technical – ComputationalInvestigating Students' Preferences For Ai Roles In Mathematical Modelling: Evidence From A Randomized Controlled Trial
Wangda Zhu, Guang CHEN, Yumeng Zhu, Lei Cai, Xiangen Hu. (10/2025). arXiv.
What is the application? Learning – Student Support, Communicating / Social Tools
Who is the user? Student
Which age? Post-Secondary
Why use AI? Outcomes – Numeracy, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Impact – Randomized Controlled TrialEdumath: Generating Standards-Aligned Educational Math Word Problems
Bryan R. Christ, Penelope Molitz, Jonathan Kropko, Thomas Hartvigsen. (10/2025). arXiv.
What is the application? Teaching – Instructional Materials
Who is the user? Educator
Which age? Elementary (PK5)
Why use AI? Efficiency, Outcomes – Numeracy, Outcomes – Differentiation
Study design: Technical – Computational, Quantitative – OthersHarnessing Llm For Noise-Robust Cognitive Diagnosis In Web-Based Intelligent Education Systems
Guixian Zhang, Guan Yuan, Yanmei Zhang, Jing Ren, Ziqi Xu, Zhenyun Deng, Debo Cheng. (10/2025). 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? Outcomes – Numeracy, Outcomes – Differentiation, Other
Study design: Technical РComputationalSeeing The Big Picture: Evaluating Multimodal Llms º Ability To Interpret And Grade Handwritten Student Work
Owen Henkel, Bill Roberts, Doug Jaffe, Laurence Holt. (10/2025). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Educator
Which age? Elementary (PK5), Middle School (6-8)
Why use AI? Efficiency, Outcomes – Numeracy
Study design: Technical – ComputationalVisiomath: Benchmarking Figure-Based Mathematical Reasoning In Lmms
Can Li, Ying Liu, Ting Zhang, Mei Wang, Hua Huang. (10/2025). arXiv.
What is the application?
Who is the user?
Which age? Elementary (PK5), Middle School (6-8), High School (9-12), Post-Secondary
Why use AI? Outcomes – Numeracy
Study design: Technical – ComputationalLlm-Driven Rubric-Based Assessment Of Algebraic Competence In Multi-Stage Block Coding Tasks With Design And Field Evaluation
Yong Oh Lee, Byeonghun Bang, Sejun Oh. (10/2025). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Student, Educator
Which age? Middle School (6-8)
Why use AI? Efficiency, Outcomes – Numeracy, Outcomes – Durable Skills
Study design: Descriptive – Implementation and Use, Descriptive – Product Development, Quantitative – OthersA Principled Way To Think About Al In Education: Guidance For Action Based On Goals, Models Of Human Learning, And Use Of Technologies.
Noah Finkelstein. (10/2025). 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, School Leader
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Numeracy, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Social Emotional, Outcomes – Durable Skills, Reimagined Schooling
Study design: Descriptive – Implementation and UseA Framework for Building High-Quality Education Data for R&D in the Age of AI: The EDSI Dataset and Expert Insights
Jing Liu, Brendon Krall, Sarah Montana, Ting-Yu Ariel Chung, Heather Hill. (10/2025). Center for Educational Data Science and Innovation.
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?
Which age? Elementary (PK5), Middle School (6-8)
Why use AI? Outcomes – Literacy, Outcomes – Numeracy, Outcomes – Differentiation, Reimagined Schooling, Other
Study design: Descriptive – Product Development, Technical – ComputationalAccurate Predictions In Education With Discrete Variational Inference
Tom Quilter, Anastasija Ilick, Karen Poon, Richard Turner. (09/2025). arXiv.
What is the application? Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Student
Which age? High School (9-12)
Why use AI? Outcomes – Numeracy, Outcomes – Differentiation
Study design: Technical – ComputationalLLMS4ALL: A Review On Large Language Models For Research And Applications In 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, Ed Maginn, Nuno Moniz, Jason Rohr, Brett Savoie, Daniel Slate, Tom Stapleford, Matthew Webber, Olaf Wiest, Johnny Zhang, Nitesh V Chawla. (09/2025). 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), Middle School (6-8), High School (9-12), Adult
Why use AI? Efficiency, Outcomes – Numeracy, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Systematic ReviewEvaluating undergraduate mathematics examinations in the era of generative AI: a curriculum-level case study
BENJAMIN J. WALKER, NIKOLETA KALAYDZHIEVA, BEATRIZ NAVARRO LAMEDA, RUTH A. REYNOLDS. (09/2025). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Educator
Which age? Post-Secondary
Why use AI? Outcomes – Numeracy
Study design: Quantitative – OthersComparing RAG and GraphRAG for Page-Level Retrieval Question Answering on Math Textbook
Eason Chen, Chuangji Li, Shizhuo Li, Zimo Xiao, Jionghao Lin, Kenneth R. Koedinger. (09/2025). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Outcomes – Numeracy, Outcomes – Differentiation
Study design: Technical – ComputationalGenerative AI alone may not be enough: Evaluating AI Support for Learning Mathematical Proof
Eason Chen, Sophia Judicke, Kayla Beigh, Xinyi Tang, Zimo Xiao, Chuangji Li, Shizhuo Li, Reed Luttmer, Shreya Singh, Maria Yampolsky, Naman Parikh, Yi Zhao, Meiyi Chen, Scarlett Huang, Anishka Mohanty, Gregory Johnson, John Mackey, Jionghao Lin, Ken Koedinger. (09/2025). 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, Outcomes – Social Emotional, Outcomes – Durable Skills
Study design: Impact – Randomized Controlled Trial, Quantitative – OthersGen AI In Proof-Based Math Courses: A Pilot Study
Hannah Klawa, Shraddha Rajpal, Cigole Thomas. (09/2025). 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, Other
Study design: Descriptive – Implementation and Use, Quantitative – OthersMathBuddy: A Multimodal System for Affective Math Tutoring
Debanjana Kar, Leopold B¬öss, Dacia Braca, Sebastian Maximilian Dennerlein, Nina Christine Hubig, Philipp Wintersberger, Yufang Hou. (08/2025). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? High School (9-12), Post-Secondary, Adult
Why use AI? Outcomes – Numeracy, Outcomes – Social Emotional
Study design: Descriptive – Product Development, Technical – Computational, Quantitative – OthersMAB Optimizer for Estimating Math Question Difficulty via Inverse CV without NLP
Surajit Das, Gourav Roy, Aleksei Eliseev, Ram Kumar Rajendran. (08/2025). arXiv.
What is the application? Teaching – Assessment and Feedback, Analyzing
Who is the user?
Which age? Middle School (6-8), High School (9-12), Post-Secondary
Why use AI? Outcomes – Numeracy, Outcomes – Differentiation
Study design: Technical – ComputationalWho Is Lagging Behind: Profiling Student Behaviors with Graph-Level Encoding in Curriculum-Based Online Learning Systems
Qian Xiao, Conn Breathnach, Ioana Ghergulescu, Conor O'Sullivan, Keith Johnston, Vincent Wade. (08/2025). 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), Post-Secondary
Why use AI? Outcomes – Numeracy, Outcomes – Differentiation
Study design: Descriptive – Product Development, Technical – ComputationalExplainable AI for Predicting and Understanding Mathematics Achievement: A Cross-National Analysis of PISA 2018
Liu Liu, Dai Rui. (08/2025). arXiv.
What is the application? Analyzing
Who is the user?
Which age? High School (9-12)
Why use AI? Outcomes – Numeracy, Outcomes – Differentiation
Study design: Technical – Computational, Quantitative – OthersAlvorada-Bench: Can Language Models Solve Brazilian University Entrance Exams?
Henrique Godoy. (08/2025). arXiv.
What is the application?
Who is the user?
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Numeracy, Outcomes – Other Academic
Study design: Technical – ComputationalMathematical Computation and Reasoning Errors by Large Language Models
Liang Zhang, Edith Aurora Graf. (08/2025). arXiv.
What is the application? 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
Study design: Technical – Computational
