Search and Filter
Repository Feedback
Your feedback helps us improve the repository's content relevance and usability. Please share your thoughts to help us better serve researchers and practitioners.
Submit a research study
Contribute to the repository:
Research Study Repository
Research synthesis is AI-generated, human reviewed. Updated 08/2026.
Showing 541 - 570 of 1627 results
Automated Domain Question Mapping (Dqm) With Educational Learning Materials
Jiho Noh, Mukhesh Raghava Katragadda, Dabae Lee. (01/2026). arXiv.
What is the application? Teaching – Instructional Materials
Who is the user?
Which age? Post-Secondary
Why use AI? Outcomes – Differentiation
Study design: Technical – ComputationalThe Ai Pyramid A Conceptual Framework For Workforce Capability In The Age Of Ai
Alok Khatri, Bishesh Khanal. (01/2026). arXiv.
What is the application? Organizing, Analyzing
Who is the user? Educator, Others
Which age? Adult
Why use AI? Efficiency, Outcomes – Durable Skills, Other
Study design: Descriptive – Implementation and UseClassroom Ai: Large Language Models As Grade-Specific Teachers
Jio Oh, Steven Euijong Whang, James Evans, Jindong Wang. (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), Post-Secondary, Adult
Why use AI? Outcomes – Differentiation, Other
Study design: Technical – Computational, Quantitative – OthersBreaking 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 – ComputationalAi-Educational Development Loop (Ai-Edl): A Conceptual Framework To Bridge Ai Capabilities With Classical Educational Theories
Ning Yu, Jie Zhang, Sandeep Mitra, Rebecca Smith, Adam Rich. (01/2026). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Student, Educator
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Durable Skills
Study design: Descriptive – Implementation and Use, Quantitative – OthersWhat Students Ask, How A Generative Ai Assistant Responds: Exploring Higher Education Students' Dialogues On Learning Analytics Feedback
Yildiz Uzun, Andrea Gauthier, Mutlu Cukurova. (01/2026). arXiv.
What is the application? Learning – Student Support, Analyzing
Who is the user? Student
Which age? Post-Secondary
Why use AI? Outcomes – Differentiation, Outcomes – Social Emotional, Outcomes – Durable Skills
Study design: Descriptive – Implementation and Use, Descriptive – Product Development, Quantitative – OthersDissecting Physics Reasoning In Small Language Models: A Multi-Dimensional Analysis From An Educational Perspective
Nicy Scaria, Silvester John Joseph Kennedy, Krishna Agarwal, Diksha Seth, Deepak Subramani. (01/2026). arXiv.
What is the application? Learning – Student Support
Who is the user?
Which age? High School (9-12), Post-Secondary
Why use AI? Efficiency, Outcomes – Other Academic
Study design: Technical – ComputationalCan Ai Chatbots Provide Coaching In Engineering? Beyond Information Processing Toward Mastery
Junaid Qadir, Muhammad Adil Attique, Saleha Shoaib, Syed Ibrahim Ghaznavi. (01/2026). arXiv.
What is the application? Teaching – Assessment and Feedback, Teaching – Professional Learning, Learning – Student Support
Who is the user? Student, Educator
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Differentiation, Outcomes – Social Emotional, Outcomes – Durable Skills, Reimagined Schooling
Study design: Quantitative – OthersMalrulelib: 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 – ComputationalInteroperability In Ai Safety Governance: Ethics, Regulations, And Standards
Yik Chan Chin, David A. Raho, Hag-Min Kim, Chunli Bi, James Ong, Jingbo Huang, Serge Stinckwich. (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, School Leader
Which age? Middle School (6-8), High School (9-12), Adult
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation, Reimagined Schooling, Other
Study design: Systematic ReviewContent Vs. Form: What Drives The Writing Score Gap Across Socioeconomic Backgrounds? A Generated Panel Approach
Nadav Kunievsky, Pedro Pertusi. (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? Efficiency, Outcomes – Literacy
Study design: Impact – Quasi–experimental, Technical – ComputationalUnpacking Generative Ai In Education: Computational Modeling Of Teacher And Student Perspectives In Social Media Discourse
Paulina DeVito, Akhil Vallala, Sean Mcmahon, Yaroslav Hinda, Benjamin Thaw, Hanqi Zhuang, Hari Kalvad. (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, Parent/Caregiver, Educator, Others
Which age? Middle School (6-8), High School (9-12), Post-Secondary
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation
Study design: Technical – ComputationalAi-Exposed Jobs Deteriorated Before Chatgpt
M. R. Frank, A. Javadian Sabet, L. Simon, S. H. Bana, R. Yu. (01/2026). arXiv.
What is the application?
Who is the user?
Which age? Post-Secondary, Adult
Why use AI? Outcomes – Other Academic, Outcomes – Durable Skills, Reimagined Schooling
Study design: Quantitative – OthersPedagogical Reflections On The Holistic Cognitive Development (Hcd) Framework And Ai-Augmented Learning In Creative Computing
Anand Bhojan. (01/2026). 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 – Differentiation, Outcomes – Durable Skills
Study design: Descriptive – Product Development, Technical – Computational, Quantitative – OthersPrompt Engineering For Responsible Generative Ai Use In African Education: A Report From A Three-Day Training Series
Benjamin Quarshie, Vanessa Willemse, Macharious Nabang, Bismark Nyaaba Akanzire, Patrick Kyeremeh, Saeed Maigari, Dorcas Adomina, Ellen Kwarteng, Eric Kojo Majialuwe, Craig Gibbs, Jerry Etornam Kudaya, Sechaba Koma, Matthew Nyaaba. (01/2026). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Professional Learning, Learning – Student Support, Analyzing
Who is the user? Student, Educator, Others
Which age? Middle School (6-8), High School (9-12), Post-Secondary, Adult
Why use AI? Efficiency, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Descriptive – Implementation and Use, Quantitative – OthersAi Knows Best? The Paradox Of Expertise, Ai-Reliance, And Performance In Educational Tutoring Decision-Making Tasks
Eason Chen, Jeffrey Li, Scarlett Huang, Xinyi Tang, Jionghao Lin, Paulo F. Carvalho, Kenneth R. Koedinger. (01/2026). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Educator, Others
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Other Academic
Study design: Impact – Quasi–experimentalStylometry Analysis Of Human And Machine Text For Academic Integrity
Hezam Albaqami, Muhammad Asif Ayub, Nasir Ahmad, Yaseen Ahmad, Mohammed M. Alqahtani, Abdullah M. Algamdi, Almoaid A. Owaidah, Kashif Ahmad. (01/2026). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Student
Which age? Post-Secondary
Why use AI? Outcomes – Literacy, Outcomes – Durable Skills
Study design: Technical – ComputationalHow To Assess Ai Literacy: Misalignment Between Self-Reported And Objective-Based Measures
Shan Zhang, Ruiwei Xiao, Anthony F. Botelho, Guanze Liao, Thomas K. F. Chiu, John Stamper, Kenneth R. Koedinger. (01/2026). arXiv.
What is the application? Teaching – Professional Learning, Analyzing
Who is the user? Educator
Which age? Middle School (6-8), High School (9-12)
Why use AI? Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Quantitative – OthersThe Vibe-Check Protocol: Quantifying Cognitive Offloading In Ai Programming
Aizierjiang Aiersilan. (01/2026). 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 – Other Academic, Outcomes – Durable Skills, Reimagined Schooling
Study design: Technical – ComputationalObjectiveed Buddybooks Efficacy Study Report Performance On Staar And I-Ready In Reading, Academic Year 2024-2025
Sofia Jimenez, Ph.D., Juliette Berg, Ph.D., Isabella Ilievski, M.Ed., Anna Robinson, M.A., Rachel Schechter, Ph.D.. (01/2026). LXD Research.
What is the application? Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Student, Educator
Which age? Elementary (PK5)
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Differentiation
Study design: Quantitative – OthersYour Brain On Chatgpt: Accumulation Of Cognitive Debt When Using An Ai Assistant For Essay Writing Task
Nataliya Kosmyna, Eugene Hauptmann, Ye Tong Yuan, Jessica Situ, Xian-Hao Liao, Ashly Vivian Beresnitzky, Iris Braunstein, Pattie Maes. (12/2025). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Post-Secondary, Adult
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Durable Skills
Study design: Impact – Randomized Controlled Trial, Quantitative – OthersWhat Can Student-Ai Dialogues Tell Us About Students' Self-Regulated Learning? An Exploratory Framework
Long Zhang, Fangwei Lin, Weilin Wang. (12/2025). arXiv.
What is the application? Learning – Student Support, Analyzing
Who is the user? Student
Which age? Post-Secondary
Why use AI? Outcomes – Social Emotional, Outcomes – Durable Skills
Study design: Quantitative – OthersDivergent-Convergent Thinking In Large Language Models For Creative Problem Generation
Manh Hung Nguyen, Adish Singla. (12/2025). arXiv.
What is the application? Teaching – Instructional Materials
Who is the user? Educator
Which age? Post-Secondary
Why use AI? Outcomes – Other Academic, Outcomes – Differentiation
Study design: Technical – ComputationalCan Ai Recognize Its Own Reflection? Self-Detection Performance Of Llms In Computing Education
Christopher Burger, Karmece Talley, Christina Trotter. (12/2025). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Educator
Which age? Post-Secondary
Why use AI? Other
Study design: Technical – Computational, Quantitative – OthersProblems 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 – ComputationalLlteacher: A Tool For The Integration Of Generative Ai Into Statistics Assignments
Emanuela Furfaro, Simone Mosciatti. (12/2025). arXiv.
What is the application? Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Student, Educator
Which age? Post-Secondary
Why use AI? Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Descriptive – Implementation and Use, Descriptive – Product DevelopmentEvaluating an AI Tutor for Student Learning and Engagement in Community College Python Courses
Hao Loi, Charulata Trivedi, Gargi Chug, Cynthia Breazeal. (12/2025). ACM.
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 – Other Academic, Outcomes – Differentiation, Outcomes – Social Emotional
Study design: Impact – Quasi–experimentalUnveiling The Learning Mind Of Language Models: A Cognitive Framework And Empirical Study
Zhengyu Hu, Jianxun Lian, Zheyuan Xiao, Seraphina Zhang, Tianfu Wang, Nicholas Jing Yuan, Xing Xie, Hui Xiong. (12/2025). arXiv.
What is the application? Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Others
Which age?
Why use AI? Other
Study design: Technical – ComputationalAdvancing Multimodal Teacher Sentiment Analysis: The Large-Scale T-Med Dataset & The Effective Aam-Tsa Model
Zhiyi Duan, Xiangren Wang, Hongyu Yuan, Qianli Xing. (12/2025). arXiv.
What is the application? Teaching – Professional Learning, Analyzing
Who is the user? Educator
Which age? Middle School (6-8), High School (9-12), Post-Secondary
Why use AI? Outcomes – Other Academic, Outcomes – Social Emotional
Study design: Technical – ComputationalBidirectional Human-Ai Alignment In Education For Trustworthy Learning Environments
Hua Shen, NYU Shanghai, New York University. (12/2025). 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? Middle School (6-8), High School (9-12), Post-Secondary, Adult
Why use AI? Efficiency, Outcomes – Differentiation, Outcomes – Social Emotional, Outcomes – Durable Skills, Reimagined Schooling
Study design: Descriptive – Implementation and Use, Descriptive – Product Development
