Research Study Repository
Research synthesis is AI-generated, human reviewed. Updated 04/2026.
Showing 271 - 300 of 1278 results
Which Type Of Students Can Llms Act? Investigating Authentic Simulation With Graph-Based Human-Ai Collaborative System
Haoxuan Li, Jifan Yu, Xin Cong, Yang Dang, Daniel Zhang-Li, Lu Mi, Yisi Zhan, Huiqin Liu, Zhiyuan Liu. (12/2025). arXiv.
What is the application? Teaching – Professional Learning
Who is the user? Educator
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Descriptive – Product Development, Technical – ComputationalReflection-Satisfaction Tradeoff: Investigating Impact Of Reflection On Student Engagement With Ai-Generated Programming Hints
Heeryung Choia, Tung Phungb, Mengyan Wuª, Adish Singlab, Christopher Brooksa. (12/2025). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Outcomes – Other Academic, Outcomes – Social Emotional, Outcomes – Durable Skills
Study design: Impact – Randomized Controlled Trial, Quantitative – OthersInvestigating Bias: A Multilingual Pipeline For Generating, Solving, And Evaluating Math Problems With Llms
Mariam Mahran, Katharina Simbeck. (12/2025). arXiv.
What is the application? Teaching – Instructional Materials, Learning – Student Support, Analyzing
Who is the user?
Which age? Elementary (PK5), Middle School (6-8)
Why use AI? Efficiency, Other
Study design: Technical – ComputationalOn The Role And Impact Of Genai Tools In Software Engineering Education
Qiaolin Qin, Ronnie de Souza Santos, Rodrigo Spinola. (12/2025). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Social Emotional, Outcomes – Durable Skills
Study design: Descriptive – Implementation and Use, Quantitative – OthersGoldMind: A Teacher-Centered Knowledge Management System for Higher Education - Lessons from Iterative Design
Gloria Fernadez-Nieto, Lele Sha, Yuheng Li, Yi-Shan Tsai, Guanliang Chen, Yinwei Wei, Weiqing Wang, Jinchun Wen, Shaveen Singh, Ivan Silva, Yuanfang Li, Dragan Gasevic, Zachari Swiecki. (12/2025). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Professional Learning, Organizing, Analyzing
Who is the user? Educator
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Durable Skills
Study design: Descriptive – Implementation and Use, Descriptive – Product Development, Technical – Computational, Quantitative – OthersProactive Agentic Whiteboards: Enhancing Diagrammatic Learning
Suveen Ellawela, Sashenka Gamage, Dinithi Dissanayake. (12/2025). arXiv.
What is the application? Teaching – Instructional Materials
Who is the user? Educator
Which age? Post-Secondary, Adult
Why use AI? Efficiency, Outcomes – Other Academic
Study design: Descriptive – Product Development, Technical – ComputationalAdvisingwise: Supporting Academic Advising In Higher Education Settings Through A Human-In-The-Loop Multi-Agent Framework
Wendan Jiang, Shiyuan Wang, Hiba Eltigani, Rukhshan Haroon, Abdullah Bin Faisal, Fahad Dogar. (12/2025). arXiv.
What is the application? Teaching – Assessment and Feedback, Learning – Student Support, Organizing
Who is the user? Student, Educator
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Differentiation, Other
Study design: Descriptive – Product Development, Technical – Computational, Quantitative – OthersEzyer: 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 – ComputationalFeed-O-Meter: Investigating Ai-Generated Mentee Personas As Interactive Agents For Scaffolding Design Feedback Practice
Hyunseung Lim, Dasom Choi, DaEun Choi, Sooyohn Nam, Hwajung Hong. (12/2025). arXiv.
What is the application? Teaching – Assessment and Feedback, Learning – Student Support, Communicating / Social Tools
Who is the user? Student
Which age? Post-Secondary
Why use AI? Outcomes – Durable Skills
Study design: Descriptive – Product Development, Impact – Quasi–experimental, Quantitative – OthersTowards Responsible Development Of Generative AI For Education: An Evaluation-Driven Approach
Irina Jurenka, Markus Kunesch, Kevin R. McKee, Daniel Gillick, Shaojian Zhu, Sara Wiltberger, Shubham Milind Phal, Katherine Hermann, Daniel Kasenberg, Avishkar Bhoopchand, Ankit Anand, Miruna Pîslar, Stephanie Chan, Lisa Wang, Jennifer She, Parsa Mahmoudieh, Aliya Rysbek, Wei-Jen Ko, Andrea Huber, Brett Wiltshire, Gal Elidan, Roni Rabin, Jasmin Rubinovitz, Amit Pitaru, Mac McAllister, Julia Wilkowski, David Choi, Roee Engelberg, Lidan Hackmon, Adva Levin, Rachel Griffin, Michael Sears, Filip Bar, Mia Mesar, Mana Jabbour, Arslan Chaudhry, James Cohan, Sridhar Thiagarajan, Nir Levine, Ben Brown, Dilan Gorur, Svetlana Grant, Rachel Hashimshoni, Laura Weidinger, Jieru Hu, Dawn Chen, Kuba Dolecki, Canfer Akbulut, Maxwell Bileschi, Laura Culp, Wen-Xin Dong, Nahema Marchal, Kelsie Van Deman, Hema Bajaj Misra, Michael Duah, Moran Ambar, Avi Caciularu, Sandra Lefdal, Chris Summerfield, James An, Pierre-Alexandre Kamienny, Abhinit Mohdi, Theofilos Strinopoulous, Annie Hale, Wayne Anderson, Luis C. Cobo, Niv Efron, Muktha Ananda, Shakir Mohamed, Maureen Heymans, Zoubin Ghahramani, Yossi Matias, Ben Gomes, Lila Ibrahim. (12/2025). arXiv.
What is the application? Learning – Student Support, Teaching – Instructional Materials, Teaching – Assessment and Feedback
Who is the user? Student, Educator
Which age? Elementary (PK5), High School (9-12), Post-Secondary, Adult
Why use AI? Efficiency, Outcomes – Differentiation, Other
Study design: Descriptive – Implementation and Use, Descriptive – Product Development, Technical – Computational, Quantitative – Others"Can You Feel The Vibes?": An Exploration Of Novice Programmer Engagement With Vibe Coding
Kiev Gama, Alexander Nolte, Filipe Calegario, Luiz Augusto Morais, Victoria Jackson, Vinicius Garcia. (12/2025). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Social Emotional, Outcomes – Durable Skills, Other
Study design: Descriptive – Implementation and Use, Quantitative – OthersAi-Enabled Grading With Near-Domain Data For Scaling Feedback With Human-Level Accuracy
Shyam Agarwall, Ali Moghimi, Kevin C. Haudek. (12/2025). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Educator
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Durable Skills, Other
Study design: Technical – Computational, Quantitative – OthersKidspeak: A General Multi-Purpose LLM For Kids' Speech Recognition And Screening
Rohan Sharma, Dancheng Liu, Jingchen Sun, Shijie Zhou, Jiayu Qin, Jinjun Xiong, Changyou Chen. (12/2025). arXiv.
What is the application? Analyzing, Learning – Student Support, Teaching – Assessment and Feedback
Who is the user? Others
Which age? 0-3 years, Elementary (PK5), Middle School (6-8), High School (9-12)
Why use AI? Outcomes – Literacy, Outcomes – Differentiation
Study design: Technical – ComputationalLlm-Based Automated Grading With Human-In-The-Loop
Yucheng Chu, Yasemin Copur-Gencturk, Hang Li, Kaiqi Yang, Jiliang Tang. (12/2025). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Educator
Which age? Adult
Why use AI? Efficiency
Study design: Technical – ComputationalArtificial Intelligence Competence Of K-12 Students Shapes Their Ai Risk Perception: A Co-Occurrence Network Analysis
Ville Heilala, Pieta Sikstrom, Mika Setala, Tommi Karkkainen. (12/2025). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? High School (9-12)
Why use AI? Outcomes – Differentiation, Outcomes – Durable Skills, Other
Study design: Quantitative – OthersAi Tutoring Enhances Student Learning Without Crowding Out Reading Effort
Mira Fischer, Holger A. Rau, Rainer Michael Rilke. (12/2025). IZA Institute of Labor Economics.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Outcomes – Other Academic, Outcomes – Differentiation
Study design: Impact – Randomized Controlled TrialChatgpt-5 In Secondary Education: A Mixed-Methods Analysis Of Student Attitudes, Ai Anxiety, And Hallucination-Aware Use
Tryfon Sivenas. (11/2025). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? High School (9-12)
Why use AI? Outcomes – Other Academic, Outcomes – Durable Skills
Study design: Quantitative – OthersConfident 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 – ComputationalPacee: Supporting Children'S Personal Emotion Education Through Parent-Ai Collaboration
Yu Mei, Xutong Wang, Ziyao Zhang, Yiming Fu, Shiyi Wang, Qingyang Wan, Qinghuan Lan, Chang Liu, Jie Cai, Chun Yu, Yuanchun Shi. (11/2025). arXiv.
What is the application? Teaching – Professional Learning, Learning – Student Support, Communicating / Social Tools
Who is the user? Parent/Caregiver
Which age? 0-3 years, Elementary (PK5)
Why use AI? Outcomes – Social Emotional
Study design: Descriptive – Implementation and Use, Descriptive – Product Development, Impact – Randomized Controlled Trial, Quantitative – OthersSupporting Productivity Skill Development In College Students Through Social Robot Coaching: A Proof-Of-Concept
Himanshi Lalwani, Hanan Salam. (11/2025). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Descriptive – Product Development, Quantitative – OthersPeoat: Personalization-Guided Evolutionary Question Assembly For One-Shot Adaptive Testing
Xiaoshan Yu, Ziwei Huang, Shangshang Yang, Ziwen Wang, Haiping Ma, Xingyi Zhang. (11/2025). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Student
Which age? Elementary (PK5), Middle School (6-8), High School (9-12), Post-Secondary, Adult
Why use AI? Efficiency, Outcomes – Differentiation
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 UseFeanel: A Benchmark For Fine-Grained Error Analysis In K-12 English Writing
Jingheng Ye, Shen Wang, Jiaqi Chen, Hebin Wang, Deqing Zou, Yanyu Zhu, Jiwei Tang, Hai-Tao Zheng, Ruitong Liu, Haoyang Li, Yanfeng Wang, Qingsong Wen. (11/2025). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Others
Which age? Elementary (PK5), Middle School (6-8), High School (9-12)
Why use AI? Outcomes – Literacy, Outcomes – Differentiation
Study design: Technical – ComputationalRethinking Ai Evaluation Through Teach-Ai: A Human-Centered Benchmark And Toolkit For Evaluating Ai Assistants In Education
Shi Ding, Brian Magerko. (11/2025). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support, Organizing
Who is the user? Student, Educator
Which age? Elementary (PK5), Middle School (6-8), High School (9-12), Post-Secondary
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Differentiation, Outcomes – Durable Skills, Reimagined Schooling
Study design: Descriptive – Product Development, Systematic ReviewAutomated Program Repair Of Uncompilable Student Code
Griffin Pitts, Aum Pandya, Darsh Rank, Tirth Bhatt, Muntasir Hoq, Bita Akram. (11/2025). arXiv.
What is the application? Teaching – Assessment and Feedback, Analyzing
Who is the user?
Which age? Post-Secondary
Why use AI? Outcomes – Other Academic, Outcomes – Differentiation
Study design: Technical – ComputationalTraining 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 – OthersHuman Experts' Evaluation Of Generative Ai For Contextualizing Steam Education In The Global South
Matthew Nyaaba, Macharious Nabang, Patrick Kyeremeh, Ibrahim Nantomah, Collins Owusu-Fordjour, Martin Ako, Bismark Nyaaba Akanzire, Kassim Korah Nantomah, Cecilia Issaka, Xiaoming Zhai. (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 – Other Academic, Outcomes – Differentiation, Outcomes – Social Emotional, Reimagined Schooling
Study design: Quantitative – OthersScaling Equitable Reflection Assessment In Education Via Large Language Models And Role-Based Feedback Agents
Chenyu Zhang, Xiaohang Luo. (11/2025). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Educator
Which age? Adult
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Other Academic, Outcomes – Differentiation
Study design: Descriptive – Product Development, Technical – Computational, Quantitative – OthersCllmrec: Llm-Powered Cognitive-Aware Concept Recommendation Via Semantic Alignment And Prerequisite Knowledge Distillation
Xiangrui Xiong, Yichuan Lu, Zifei Pan, Chang Sun. (11/2025). 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), Post-Secondary
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation
Study design: Technical – Computational, Quantitative – Others
