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Research Study Repository
Research synthesis is AI-generated, human reviewed. Updated 08/2026.
Showing 91 - 120 of 1627 results
Tinker Tales: A Tangible Dialogue System for Child-AI Co-Creative Storytelling
Nayoung Choi, Jiseung Hong, Peace Cyebukayire, Ikseon Choi and Jinho D. Choi. (06/2026). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Student, Parent/Caregiver
Which age? Elementary (PK5)
Why use AI? Outcomes – Literacy, Outcomes – Social Emotional, Reimagined Schooling
Study design: Descriptive – Implementation and Use, Descriptive – Product Development, Technical – Computational, Quantitative – OthersThe Impact Of Generative Artificial Intelligence On Academic Development Of Chinese Students In Humanities And Social Sciences
Lei Fan, Fangxue Liu. (06/2026). arXiv.
What is the application? Teaching – Instructional Materials, Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Quantitative – OthersLecturaRaagents: 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 – ComputationalStudents' Perception Accuracy Of Partners' AI Use And Its Relation To Collaboration Performance
Laura Graf, Ramona Beinstingel, Stephan Krusche, Oleksandra Poquet. (06/2026). 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: Quantitative – OthersExploring The Potential Of ChatGPT For Feedback And Evaluation In Experimental Physics
Marcos Abreu, Alvaro Suarez, Cecilia Stari, Arturo C. Marti. (06/2026). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Educator
Which age? Post-Secondary
Why use AI? Efficiency, Other
Study design: Descriptive – Implementation and UseAnalyzing Students' Statistics Writing Before And After The Emergence Of Large Language Models
Sara Colando, Erin Franke, Gordon Weinberg, Alex Reinhart. (06/2026). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Literacy
Study design: Quantitative – OthersAI-Assisted Help-Seeking Trajectories In Programming Education From An Srl-Informed Perspective
Boxuan Ma, Huiyong Li, Gen Li, Li Chen, Atsushi Shimada, Shin'ichi Konomi. (06/2026). 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, Outcomes – Durable Skills
Study design: Descriptive – Implementation and Use, Quantitative – OthersDo Gains From Generative AI-Enabled Adaptive Pretesting Persist? Evidence From A Retention Study
Mahir Akgun, Sacip Toker. (06/2026). 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 – Randomized Controlled TrialSycophantic AI makes human interaction feel more effortful and less satisfying over time
Lujain Ibrahim, Franziska Sofia Hafner, Myra Cheng, Cinoo Lee, Rebecca Anselmetti, Robb Willer, Luc Rocher, Diyi Yang. (06/2026). arXiv.
What is the application? Learning – Student Support, Communicating / Social Tools
Who is the user? Others
Which age? High School (9-12), Post-Secondary, Adult
Why use AI? Outcomes – Social Emotional, Outcomes – Durable Skills
Study design: Impact – Randomized Controlled TrialSupporting Tutors In The Gig Economy With Automated Feedback: A Case Study On Ringle
Yeon Su Park, Sieun Kim, Keighley Overbay, Seoyoung Kim, Sewook Wee, Daho Jung and Juho Kim. (06/2026). arXiv.
What is the application? Teaching – Professional Learning
Who is the user? Educator
Which age? Adult
Why use AI? Outcomes – Other Academic, Outcomes – Durable Skills
Study design: Descriptive – Implementation and Use, Descriptive – Product Development, Quantitative – OthersAccess is Not Enough: Human Support Improves Engagement with AI Tutoring
Carly D. Robinson, David Gormley, Ana Trindade Ribeiro, Susanna Loeb. (06/2026). EdWorking Papers.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Elementary (PK5)
Why use AI? Outcomes – Literacy, Outcomes – Differentiation
Study design: Impact – Randomized Controlled Trial"**Important** You should give me full credits!": Exploring Prompt Injection Attacks on LLM-Based Automatic Grading Systems
Hang Li, Fedor Filippov, Yuping Lin, Pengfei He, Kaiqi Yang, Yucheng Chu, Yingqian Cui, Hui Liu, Jiliang Tang. (06/2026). 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
Why use AI? Efficiency
Study design: Technical – ComputationalLearning To Prompt: Improving Student Engagement With Adaptive LLM-Based High-School Tutoring
Po-Chin Chang, Nicholas Hogan, Aske Plaat, Michiel T. van der Meer. (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)
Why use AI? Efficiency, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Impact – Randomized Controlled Trial, 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 ReviewLLM-As-Judge In Education: A Curriculum-Grounded Marking Pipeline
Xiwei Xu, Chen Wang, Jacky Jiang, Phil Yang, Qian Fu, Mohan Dhall, Wenjie Zhang, Liming Zhu. (06/2026). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Educator
Which age? High School (9-12), Post-Secondary
Why use AI? Efficiency, Outcomes – Differentiation, Other
Study design: Descriptive – Product Development, Technical – Computational, Quantitative – OthersEngagement Intensity As A Learner-Modeling Signal For Adaptive AI Ethics Instruction
Yongkyung Oh, Lynn Talton, Alex Bui. (06/2026). 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: Quantitative – OthersAnalytics For Quality Assurance For Item Pools (Aquap): Monitoring And Maintaining Item Bank Health In AI-Driven Assessment Systems
Alina A. von Davier, Xiaowan Zhang, Yigal Attali, Yena Park, Jacqueline Church, Andrew Runge, Geoff LaFlair, Alexander Tsigler. (06/2026). arXiv.
What is the application? Analyzing
Who is the user? Educator
Which age? Post-Secondary, Adult
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation
Study design: Descriptive – Product DevelopmentBeyond Helpfulness: A Teaching-Over-Solving Diagnostic For Measuring Educational Impact In LLM Tutors
Junyi Yao, Zihao Zheng, Baichuan Li. (06/2026). arXiv.
What is the application? Learning – Student Support
Who is the user?
Which age? Middle School (6-8), High School (9-12), Post-Secondary
Why use AI? Outcomes – Numeracy, Outcomes – Differentiation, Outcomes – Durable Skills, Reimagined Schooling
Study design: Technical – Computational, Quantitative – OthersWhat LLMs Must Forget To Teach Effectively A Diy Approach To Premodern Japanese Language Pedagogy
Ariel Stilerman, Andrew Nelson, Alan Cheng, Caleb Langley, Sera Wang, Camilla Piana, Pelin Çılgın, Qianhe Qin, Teisha Nishimitsu, Liaoliao Zhang, Huiting Liu, Josh Eyret, Gavin Sherry. (06/2026). arXiv.
What is the application? Learning – Student Support, Teaching – Instructional Materials
Who is the user? Student, Educator
Which age? Post-Secondary
Why use AI? Outcomes – Literacy, Outcomes – Durable Skills, Reimagined Schooling
Study design: Descriptive – Implementation and Use, Descriptive – Product DevelopmentUsing AI In Engineering Education: A Balancing Act, Driven By Clear Purpose
Olya Kudina. (06/2026). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Other Academic, Outcomes – Differentiation
Study design: Descriptive – Implementation and Use, Systematic ReviewA Multi-Level Analysis Of Factors Associated With Student Performance: A Machine Learning Approach To The Saeb Microdata
Rodrigo Tertulino, Laércio Alencar. (06/2026). arXiv.
What is the application? Analyzing
Who is the user?
Which age? High School (9-12)
Why use AI? Outcomes – Other Academic, Outcomes – Differentiation
Study design: Technical – ComputationalAI As A Partner In Learning About, Doing, And Engaging With Science: Vigilance As The Key To Productive Augmentation
Marcus Kubsch. (06/2026). 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? Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills, Reimagined Schooling
Study design: Descriptive – Product DevelopmentBeyond Models: Reflections On Engineering AI-Enabled Systems In A Project-Based Course
Amir Mashmool, Kishan Ravindra Sawant, Mojtaba Shahin, Nico Hochgeschwender, and Rainer Koschke. (06/2026). arXiv.
What is the application?
Who is the user? Student
Which age? Post-Secondary
Why use AI? Outcomes – Durable Skills
Study design: Descriptive – Implementation and Use, Descriptive – Product Development, Quantitative – OthersStudents' Validation Criteria For Al-Generated Physics Solutions
Álvaro Suárez, Richard González. (06/2026). 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: Descriptive – Implementation and UseRethinking Scaffolding In LLM Tutors: The Interactional Mismatch Between Benchmarks And Real-World Deployments
Alexandra Neagu, Jeffrey T. H. Wong, Marcus Messer, Rhodri Nelson, Peter B. Johnson. (06/2026). 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
Study design: Quantitative – OthersThe Missing Layer: Why EdTech Needs Design-Time Generative Ui, Not Just Runtime Personalization
Seyed Parsa Neshaei, Abhinand Shibu, Fatma Betül Güres. (06/2026). arXiv.
What is the application? Teaching – Instructional Materials
Who is the user? Educator
Which age? Elementary (PK5), Middle School (6-8), High School (9-12), Post-Secondary
Why use AI? Efficiency, Outcomes – Differentiation, Reimagined Schooling
Study design: Descriptive – Product DevelopmentContaminated Collaboration: Measuring Gender Bias Transfer In LLM-Assisted Student Writing
Ariyan Hossain, Kazi Kamruzzaman Rabbi, Farig Sadeque, S M Taiabul Haque. (06/2026). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Reimagined Schooling
Study design: Impact – Randomized Controlled TrialScan: A Decision-Making Framework For Effective Task Allocation With Generative AI
Fendi Tsim, Alina Gutoreva. (06/2026). arXiv.
What is the application? Learning – Student Support
Who is the user? Student, Educator, Others
Which age? Post-Secondary, Adult
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Durable Skills, Reimagined Schooling
Study design: Descriptive – Implementation and Use, Descriptive – Product DevelopmentWhat Do You Mean By 'Human-AI Collaboration'? Prerequisite Functions And The Affordances Needed To Achieve It
Professor Mutlu Cukurova. (06/2026). arXiv.
What is the application? Teaching – Instructional Materials, Learning – Student Support, Organizing, Analyzing
Who is the user? Student, Educator
Which age? High School (9-12), Post-Secondary
Why use AI? Reimagined Schooling
Study design: Descriptive – Product Development"Stuck In A Spiral": Shame And Guilt As Social Regulators Of AI Use In Computing Education
Kate Hamilton, Irene Hou, Dev Patel, Sheena Nnam, Hena Patel, Stephen MacNeil. (06/2026). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Descriptive – Implementation and Use
