Research Study Repository
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Showing 1 - 30 of 68 results
Teaching AI Interactively: A Case Study In Higher Education
Jennifer M. Reddig, Scott Moon, Kaitlyn Crutcher, Christopher J. MacLellan. (03/2026). arXiv.
What is the application? Teaching – Instructional Materials
Who is the user? Student
Which age? Post-Secondary
Why use AI? Outcomes – Other Academic, Outcomes – Durable Skills
Study design: Impact – Quasi–experimentalPacee: Parent-Centered AI Scaffolding For Emotion Education In Early Childhood Conversations
Yu Mei, Xutong Wang, Ziyao Zhang, Yiming Fu, Shiyi Wang, Qingyang Wan, Qinghuan Lan, Chang Liu, Jie Cai, Chun Yu, Yuanchun Shi. (03/2026). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Professional Learning, Analyzing
Who is the user? Parent/Caregiver
Which age? 0-3 years, Elementary (PK5)
Why use AI? Efficiency, Outcomes – Differentiation, Outcomes – Social Emotional
Study design: Descriptive – Product Development, Impact – Quasi–experimental, Technical – ComputationalEvaluating Adaptive And Generative AI-Based Feedback And Recommendations In A Knowledge-Graph-Integrated Programming Learning System
Lalita Na Nongkhai, Jingyun Wang, Adam Wynn, Takahiko Mendori. (03/2026). arXiv.
What is the application? Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Outcomes – Other Academic, Outcomes – Differentiation
Study design: Impact – Quasi–experimentalThree Years With Classroom AI In Introductory Programming: Shifts In Student Awareness, Interaction, And Performance
Boxuan Ma, Huiyong Li, Gen Li, Li Chen, Cheng Tang, Atsushi Shimada, and Shin'ichi Konomi. (03/2026). arXiv.
What is the application? Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Outcomes – Other Academic, Reimagined Schooling
Study design: Descriptive – Implementation and Use, Impact – Quasi–experimental, Quantitative – OthersLarge Language Models In Teaching And Learning: Reflections On Implementing An AI Chatbot In Higher Education
Fiammetta Caccavale, Carina L. Gargalo, Julian Kager, Magdalena Skowyra, Steen Larsen, Krist V. Gernaey, Ulrich Kruhne. (03/2026). arXiv.
What is the application? Teaching – Professional Learning, Learning – Student Support
Who is the user? Student, Educator
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Descriptive – Implementation and Use, Descriptive – Product Development, Impact – Quasi–experimental, Technical – Computational, Quantitative – OthersPersonalizing explanations of AI-driven hints to users' characteristics: an empirical evaluation
Vedant Bahel, Harshinee Sriram, Cristina Conati. (03/2026). arXiv.
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 – Quasi–experimentalAdvancing Problem-Based Learning In Biomedical Engineering In The Era Of Generative AI
Micky C. Nnamdi, J. Ben Tamo, Benoit Marteau, Wenqi Shi, May D. Wang. (03/2026). arXiv.
What is the application? Teaching – Instructional Materials, 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 – Durable Skills, Reimagined Schooling
Study design: Descriptive – Implementation and Use, Descriptive – Product Development, Impact – Quasi–experimentalThe Economics Of Algorithmic Personalization: Evidence From An Educational Technology Platform
Keshav Agrawal, Susan Athey, Ayush Kanodia, Shanjukta Nath, Emil Palikot. (03/2026). NBER.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Elementary (PK5), Middle School (6-8)
Why use AI? Outcomes – Literacy, Outcomes – Differentiation
Study design: Impact – Randomized Controlled Trial, Impact – Quasi–experimentalNeurochat: A Neuroadaptive AI Chatbot For Customizing Learning Experiences
Dunya Baradari, Nataliya Kosmyna, Oscar Petrov, Rebecah Kaplun, Pattie Maes. (02/2026). arXiv.
What is the application? Teaching – Instructional Materials, Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Descriptive – Product Development, Impact – Quasi–experimentalSame Feedback, Different Source: How AI Vs. Human Feedback Shapes Learner Engagement
CAITLIN MORRIS, PATTIE MAES. (02/2026). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Student
Which age? Post-Secondary, Adult
Why use AI? Other
Study design: Impact – Quasi–experimentalAI-Based Verbal And Visual Scaffolding In A Serious Game: Effects On Learning And Cognitive Load
Caroline Wermann, Karina E. Avila, Sebastian Andre, Julia C. Draeger, Alvar Goetze, Jochen Kuhn, Maite Maurer, Sascha Mehlhase, Nikola Merkas, Fabian Schrodt, Stefan Kuchemann. (02/2026). 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, Adult
Why use AI? Outcomes – Other Academic, Outcomes – Differentiation, Other
Study design: Impact – Quasi–experimentalConstruction And Educational Application Of A Linguistically Grounded Dependency Treebank For Uyghur
Jiaxin Zuo, Yiquan Wang, Yuan Pan, and Xiadiya Yibulayin. (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? Outcomes – Other Academic, Outcomes – Differentiation
Study design: Impact – Quasi–experimental, Technical – ComputationalAiplato: A Novel Ai Tutoring And Stepwise Feedback System For Physics Homework
Atharva Dange, Ramon E. Lopez, Nimish Shah, Louis Deslauriers. (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 – Differentiation, Outcomes – Durable Skills
Study design: Impact – Quasi–experimental, Quantitative – OthersContent 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 – ComputationalAi 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–experimentalFrom Co-Design To Metacognitive Laziness: Evaluating Generative Ai In Vocational Education
Amir Yunus, Gay Peng Rend, Lee Oon Teng. (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? Post-Secondary
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Social Emotional, Outcomes – Durable Skills
Study design: Descriptive – Product Development, Impact – Quasi–experimental, Quantitative – OthersStabilising Learner Trajectories: A Doubly Robust Evaluation Of Ai-Guided Student Support Using Activity Theory
Teo Susnjak, Khalid Bakhshov, and Anuradha Mathrani. (12/2025). arXiv.
What is the application? Learning – Student Support, Analyzing
Who is the user? Educator
Which age? Post-Secondary
Why use AI? Outcomes – Other Academic
Study design: Impact – Quasi–experimentalFeed-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 – OthersReport From Workshop On Dialogue Alongside Artificial Intelligence
Thomas J McKenna, Ingvill Rasmussen, Sten Ludvigsen, Avivit Arvatz, Christa Asterhan, Gaowei Chen, Julie Cohen, Michele Flammia, Dongkeun Han, Emma Hayward, Heather Hill, Yifat Kolikant, Helen Lehndorf, Kexin Li, Lindsay Clare Matsumura, Henrik Tj‚àö‚àènn, Pengjin Wang, Rupert Wegerif. (11/2025). arXiv.
What is the application? Teaching – Assessment and Feedback, Teaching – Professional Learning, Learning – Student Support, Analyzing
Who is the user? Student, Educator
Which age? Post-Secondary, Adult
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills, Other
Study design: Descriptive – Implementation and Use, Descriptive – Product Development, Impact – Randomized Controlled Trial, Impact – Quasi–experimental, Technical – ComputationalComprehension-Performance Gap In Genai-Assisted Brownfield Programming: A Replication And Extension
Yunhan Qiao, Christopher Hundhausen, Summit Haque, Md Istiak Hossain Shihab. (11/2025). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Other Academic
Study design: Impact – Quasi–experimentalTransforming Higher Education With Ai-Powered Video Lectures
Dengsheng Zhang. (10/2025). arXiv.
What is the application? Teaching – Instructional Materials
Who is the user? Educator
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Other Academic
Study design: Descriptive – Product Development, Impact – Quasi–experimental, Quantitative – OthersAi-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 ReviewSocratic Mind: Impact Of A Novel Genai-Powered Assessment Tool On Student Learning And Higher-Order Thinking
Jeonghyun Lee, Jui-Tse Hung, Meryem Yilmaz Soylu, Diana Popescu, Christopher Zhang Cui, Gayane Grigoryan, David A Joyner, Stephen W Harmon. (10/2025). 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 – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Impact – Quasi–experimental, Quantitative – OthersHelp Or Hype? Students' Engagement And Perception Of Using Ai To Solve Physics Problems
Qurat-ul-Ann Mirza, N. Sanjay Rebello. (09/2025). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Outcomes – Other Academic, Outcomes – Durable Skills
Study design: Descriptive – Implementation and Use, Impact – Quasi–experimentalLeveraging generative artificial intelligence for simulation-based physics experiments: A new approach to virtual learning about the real world
Yossi Ben-Zion, Turhan K. Carroll, Colin G. West, Jesse Wong, Noah D. Finkelstein. (09/2025). arXiv.
What is the application? Teaching – Instructional Materials
Who is the user? Student
Which age? Post-Secondary
Why use AI? Outcomes – Other Academic, Outcomes – Durable Skills
Study design: Impact – Quasi–experimentalA Meta-Analysis Of LLM Effects On Students Across Qualification, Socialization, And Subjectification
Jiayu Huang, Ruoxin Ritter Wang, Jen-Hao Liu, Boming Xia, Yue Huang, Ruoxi Sun, Jason (Minhui) Xue, Jinan Zou. (09/2025). 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? Outcomes – Other Academic, Outcomes – Social Emotional, Outcomes – Durable Skills
Study design: Impact – Randomized Controlled Trial, Impact – Quasi–experimental, Systematic ReviewEnhancing Python Programming Education with an AI-Powered Code Helper: Design, Implementation, and Impact
Sayed Mahbub Hasan Amiri, Md Mainul Islam. (09/2025). 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 – Durable Skills
Study design: Descriptive – Product Development, Impact – Quasi–experimental, Quantitative – OthersGOLDMIND: A Teacher-Centered Knowledge Management System For Higher Education AI Lessons From Iterative Design
Gloria Fern‡ndez-Nieto, Lele Sha, Yuheng Li, Yi-Shan Tsai, Guanliang Chen, Yinwei Wei, Weiqing Wang, Jinchun Wen, Shaveen Singh, Ivan Silva, Yuanfang Li, Dragan Ga_evic, Zachari Swiecki. (08/2025). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Professional Learning, Organizing
Who is the user? Educator
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Durable Skills, Reimagined Schooling
Study design: Descriptive – Product Development, Impact – Quasi–experimental, Quantitative – OthersRoboBuddy in the Classroom: Exploring LLM-Powered Social Robots for Storytelling in Learning and Integration Activities
Daniel Tozadore, Nur Ertug, Yasmine Chaker and Mortadha Abderrahim. (08/2025). arXiv.
What is the application? Teaching – Instructional Materials, Learning – Student Support, Communicating / Social Tools
Who is the user? Educator
Which age? Elementary (PK5)
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Social Emotional
Study design: Descriptive – Implementation and Use, Descriptive – Product Development, Impact – Quasi–experimentalStudents' Perceptions to a Large Language Model's Generated Feedback and Scores of Argumentation Essays
Winter Allen, Anand Shanker, N. Sanjay Rebello. (08/2025). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Educator
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Durable Skills
Study design: Impact – Quasi–experimental, Quantitative – Others
