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Research Study Repository
Research synthesis is AI-generated, human reviewed. Updated 08/2026.
Showing 1 - 30 of 91 results
Structured AI Demonstrations And Student LLM Use In Engineering Mechanics: Study Design And Preliminary Results
Shuang Geng, Helen Lallos-Harrell, Jiya Ashar, Thomas J. McKenna, Annwesa Dasgupta, Caleb Farny, Emma Lejeune. (07/2026). arXiv.
What is the application? Teaching – Instructional Materials, Learning – Student Support, Analyzing
Who is the user? Student, Educator
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Durable Skills, Reimagined Schooling
Study design: Descriptive – Implementation and Use, Impact – Quasi–experimental, Technical – ComputationalGenerative AI Availability, Grades, And Student Satisfaction At A Large University
James M. Zumel Dumlao, Meng Wang, Zhonghan Xie, Junyao Hu, Ivan Bar, George Chaney III, Henry Gold, Misha Teplitskiy. (07/2026). arXiv.
What is the application? Learning – Student Support, Analyzing
Who is the user? Student, Others
Which age? Post-Secondary
Why use AI? Efficiency, Other
Study design: Impact – Quasi–experimentalExperiential Versus Instructional Approaches For Eliciting Metacognitive Awareness In AI-Assisted Learning: A Short-Term Longitudinal Study
Pau Benazet i Montobbio, Janne Rotter, Davinia Hern√°ndez-Leo. (07/2026). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Outcomes – Durable Skills
Study design: Impact – Quasi–experimentalTeaching AI Interactively: An Experience Report In Higher Education
Jennifer M. Reddig, Scott Moon, Kaitlyn Crutcher, Christopher J. MacLellan. (07/2026). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Outcomes – Other Academic, Outcomes – Social Emotional
Study design: Descriptive – Implementation and Use, Impact – Quasi–experimentalFaster Completion, Less Learning: Generative AI Reduced Study Time On Math Problems And The Knowledge They Build
Sina Rismanchian, Hasan Uzun, Jeffrey Matayoshi, Eric Cosyn, Eyad Kurd-Misto. (07/2026). 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 – Numeracy
Study design: Impact – Quasi–experimentalThe Generative AI Learning Penalty: Evidence from Chinese Secondary Education
David Stromberg, Victor Lei, Yanhui Wu. (07/2026). SSRN.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Middle School (6-8), High School (9-12)
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Numeracy, Outcomes – Other Academic
Study design: Impact – Quasi–experimentalTeaching Students To Question The Machine: Short-Term Effects Of An AI Literacy Workshop On Middle-School Students' Regulation Of LLM Interaction
Olivier Clerc, Rania Abdelghani, Chloé Desvaux, Eliott Poisson, Pierre-Yves Oudeyer, Helene Sauzeon. (06/2026). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Middle School (6-8), High School (9-12)
Why use AI? Outcomes – Other Academic, Outcomes – Durable Skills
Study design: Impact – Quasi–experimentalLecturaRaagents: A Multi-Agent Framework For Adaptive Personalized AI-Assisted Learning And Embodied Teaching
Jaward Sesay, Yue Yu, Siwei Dong, Guangyao Chen, Börje F. Karlsson. (06/2026). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Student, Educator
Which age? High School (9-12), Post-Secondary
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation
Study design: Impact – Quasi–experimental, Technical – ComputationalThe Creative Link Between Words and Ideas is Weakening in the AI Era
Kibum Moon, Kostadin Kushlev, Andrew Bank, Benjamin Lira, Indre Viskontas, James C. Kaufman, Dan R. Johnson, Angela L. Duckworth, Adam E. Green. (06/2026). PsyArXIV.
What is the application? Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Student
Which age? High School (9-12), Post-Secondary
Why use AI? Outcomes – Literacy, Outcomes – Durable Skills
Study design: Impact – Quasi–experimental, Quantitative – Others, Systematic ReviewDetective Scaffolding For Within-Session Reasoning Development: A Three-Phase Framework Evaluated In Polymer Engineering And Pre-University Outreach
Haolin Feng, Holly Barrett, Xinru Deng, Dimitrios G. Papageorgiou and Yiwei Sun. (06/2026). arXiv.
What is the application? Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Student
Which age? High School (9-12), Post-Secondary
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Durable Skills, Reimagined Schooling
Study design: Impact – Quasi–experimentalBeyond Access: Guided LLM Scaffolding For Independent Learning In Undergraduate Statistics
Mohammad Amanloua, Yasaman Amou-Jafaria, Mehrad Liviana, Fatemeh Boloukazari a, Fereshte Bagheria, Behnam Bahrakb. (05/2026). 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, Outcomes – Durable Skills
Study design: Impact – Quasi–experimentalCombating Harms Of Generative AI In Cs1 With Code Review Interviews And A Flipped Classroom
PETER FOWLES, ERIK FALOR, SULOVE BHATTARAI, JOHN EDWARDS, SETH POULSEN. (05/2026). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Outcomes – Other Academic, Outcomes – Durable Skills
Study design: Impact – Quasi–experimentalGender Differences In AI Literacy Workshop Outcomes And Deepfake Engagement
Jake Renzella, Christian Bergh, Natasha Banks, and Alexandra Vassar. (05/2026). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Middle School (6-8), High School (9-12)
Why use AI? Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Impact – Quasi–experimentalTeaching with Gemini: Measuring the impact of Guided Learning on student mathematics progress in Sierra Leone
LearnLM Team, Google & Fab AI. (05/2026). Google.
What is the application? Teaching – Instructional Materials, Teaching – Professional Learning, Learning – Student Support
Who is the user? Student, Educator
Which age? Middle School (6-8)
Why use AI? Efficiency, Outcomes – Numeracy
Study design: Descriptive – Implementation and Use, Impact – Randomized Controlled Trial, Impact – Quasi–experimentalLittle Impact Of ChatGPT Availability On High School Student Test Score Performance
Nick Huntington-Klein. (05/2026). 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? Outcomes – Literacy, Outcomes – Numeracy, Outcomes – Other Academic
Study design: Impact – Quasi–experimentalCode Comprehension With Github Copilot: Performance Gains, Comprehension Trade-Offs, And Behavioral Predictors In Brownfield Programming
Yunhan Qiao, Md Istiak Hossain Shihab, Summit Haque, Christopher Hundhausen. (05/2026). 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
Study design: Impact – Quasi–experimentalLata: A Drop-In, Ferpa-Compliant Local-LLM Autograder For Upper-Division STEM Coursework
Jesse A. Rodríguez. (05/2026). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Student, Educator
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Other Academic
Study design: Descriptive – Product Development, Impact – Quasi–experimental, Quantitative – OthersMaic-Ui: Making Interactive Courseware With Generative Ui
Shangqing Tu, Yanjia Li, Keyu Chen, Sichen Zhang, Jifan Yu, Daniel Zhang-Li, Lei Hou, Juanzi Li, Yu Zhang, Huiqin Liu. (04/2026). arXiv.
What is the application? Teaching – Instructional Materials
Who is the user? Student, Educator
Which age? Middle School (6-8), High School (9-12)
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Descriptive – Implementation and Use, Descriptive – Product Development, Impact – Randomized Controlled Trial, Impact – Quasi–experimental, Technical – ComputationalArtificial Intelligence As A Real Game To Enlighten Science Education For Disabled Students In Rural New Mexico
Nelson Uloma Egondu, Gil R. Gallegos. (04/2026). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Middle School (6-8), High School (9-12)
Why use AI? Outcomes – Literacy, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Social Emotional, Reimagined Schooling
Study design: Impact – Quasi–experimental, Technical – ComputationalAl-Assisted Code Review As A Scaffold For Code Quality And Self-Regulated Learning: An Experience Report
Eduardo Oliveira, Michael Fu, Patanamon Thongtanunam, Sonsoles L‚àö‚â•pez-Pernas, Mohammed Saqr. (04/2026). 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: Descriptive – Implementation and Use, Descriptive – Product Development, Impact – Quasi–experimental, Quantitative – OthersArgumath: AI-Simulated Environment For Pre-Service Teacher Training In Orchestrating Classroom Mathematics Argumentation
Jiwon Chun, Yuling Zhuang, Armanto Sutedjo, Colin Xu, Rong Ren, and Meng Xia. (04/2026). arXiv.
What is the application? Teaching – Professional Learning
Who is the user? Educator
Which age? Post-Secondary
Why use AI? Outcomes – Durable Skills
Study design: Descriptive – Implementation and Use, Descriptive – Product Development, Impact – Quasi–experimental, Technical – ComputationalFast And Forgettable: A Controlled Study Of Novices' Performance, Learning, Workload, And Emotion In AI-Assisted And Human Pair Programming Paradigms
NICHOLAS GARDELLA, JAMES PRATHER, JUHO LEINONEN, PAUL DENNY, RAYMOND PETTIT, SARA L. RIGGS. (04/2026). 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–experimentalTeaching 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–experimental
