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Research Study Repository
Research synthesis is AI-generated, human reviewed. Updated 08/2026.
Showing 271 - 300 of 1627 results
Assessing The Impact And Underlying Pathways Of Sequenced AI Feedback On Student Learning
Jie Cao, Chloe Qianhui Zhao, Christian Schunn, Elizabeth A. McLaughlin, Jionghao Lin, Kenneth R. Koedinger. (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 – Social Emotional, Outcomes – Durable Skills, Reimagined Schooling
Study design: Impact – Randomized Controlled TrialAI-Supported Data Analysis Boosts Student Motivation And Reduces Stress In Physics Education
Jannik Henze, Julia Lademann, Sebastian Becker-Genschow and Andre Bresges. (04/2026). 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 – Social Emotional
Study design: Descriptive – Product Development, Impact – Randomized Controlled TrialEnabling And Inhibitory Pathways Of Students' AI Use Concealment Intention In Higher Education: Evidence From Sem And Fsqca
Yiran Du, Huimin He. (04/2026). arXiv.
What is the application?
Who is the user? Student
Which age? Post-Secondary
Why use AI? Other
Study design: Quantitative – OthersUse Of AI Tools: Guidelines To Maintain Academic Integrity In Computing Colleges
Hatem M. El-boghdadi, Toqeer Ali Syed, Ali Akarma, and Qamar Wali. (04/2026). 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? Efficiency, Outcomes – Other Academic, Outcomes – Durable Skills
Study design: Technical – ComputationalExamining Eap Students' AI Disclosure Intention: A Cognition-Affect-Conation Perspective
Yiran Du, Huimin He. (04/2026). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Outcomes – Literacy
Study design: Descriptive – Implementation and Use, Quantitative – OthersWhen Does AI Support Thinking, And When Does It Replace It? Learners' Conceptualisations Of AI As A Dynamic Cognitive Partner: A Typology
Cecilia Ka Yuk Chan. (04/2026). 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 – Other Academic, Outcomes – Durable Skills
Study design: Descriptive – Implementation and UseTracing Prompt-Level Trajectories To Understand Student Learning With AI In Programming Education
Tianyu Shao, Miguel Feijoo-Garcia, Yi Zhang, Hugo Castellanos, Tawfiq Salem, Alejandra Magana, Tianyi Li. (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: Descriptive – Implementation and Use, Quantitative – OthersPerceived Importance Of Cognitive Skills Among Computing Students In The Era Of AI
Neha Rani, Erta Cenko, and Laura Melissa Cruz Castro. (04/2026). arXiv.
What is the application?
Who is the user? Student
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Durable Skills
Study design: Quantitative – OthersOffline-First LLM Architecture For Adaptive Learning In Low-Connectivity Environments
Joseph Walusimbi, Ann Move Oguti, Joshua Benjamin Ssentongo, Keith Ainebyona. (04/2026). 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
Why use AI? Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills, Reimagined Schooling
Study design: Descriptive – Implementation and Use, Descriptive – Product Development, Technical – ComputationalArtificial Intelligence For All? Brazilian Teachers On Ethics, Equity, And The Everyday Challenges Of AI In Education
Bruno Florentino, Andre de Carvalho, Camila Sestito, Wellington Cruz, Robson Bonidia. (04/2026). arXiv.
What is the application? Analyzing, Communicating / Social Tools, Organizing, Teaching – Instructional Materials, Teaching – Professional Learning, Teaching – Assessment and Feedback
Who is the user? Educator
Which age? Middle School (6-8), High School (9-12)
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation, Reimagined Schooling
Study design: Quantitative – OthersExploring Teachers' Perspectives On Using Conversational AI Agents For Group Collaboration
Prerna Ravi, Carumey Stevens, Beatriz Flamia Azevedo, Jasmine David, Brandon Hanks, Hal Abelson, Grace Lin, and Emma Anderson. (04/2026). arXiv.
What is the application? Communicating / Social Tools, Learning – Student Support
Who is the user? Educator
Which age? Middle School (6-8), High School (9-12)
Why use AI? Efficiency, Outcomes – Social Emotional, Outcomes – Durable Skills, Reimagined Schooling
Study design: Descriptive – Implementation and Use, Descriptive – Product DevelopmentDialogue Act Patterns In Genai-Mediated L2 Oral Practice: A Sequential Analysis Of Learner-Chatbot Interactions
Liqun He, Shijun (Cindy) Chen, Mutlu Cukurova, Manolis Mavrikis. (04/2026). 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? Outcomes – Other Academic
Study design: Quantitative – OthersDeveloping and Evaluating a Large Language Model-Based Automated Feedback System Grounded in Evidence-Centered Design for Supporting Physics Problem Solving
Holger Maus, Paul Tschisgale, Fabian Kieser, Stefan Petersen, Peter Wulff. (04/2026). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Student
Which age? High School (9-12)
Why use AI? Outcomes – Other Academic, Outcomes – Differentiation
Study design: Descriptive – Product Development, Quantitative – OthersTeaching Astronomy With Large Language Models
Yuan-Sen Ting, Teaghan O'Briain. (04/2026). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support, Analyzing
Who is the user? Student, Educator
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, Technical – Computational, Quantitative – OthersAgora: Teaching The Skill Of Consensus-Finding With AI Personas Grounded In Human Voice
Prerna Ravi, Om Gokhale, Suyash Pradeep Fulay, Eugene Yi, Deb Roy, Michiel Bakker. (04/2026). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback
Who is the user? Student
Which age? Post-Secondary
Why use AI? Outcomes – Durable Skills
Study design: Descriptive – Product Development, Impact – Randomized Controlled TrialGrow: A Conversational AI Coach For Goals, Reflection, Optimism, And Well-Being
Keya Shah, Himanshi Lalwani, Hanan Salam. (04/2026). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Differentiation, Outcomes – Social Emotional, Outcomes – Durable Skills
Study design: Descriptive – Product Development, Quantitative – OthersOpencoderrank: Personalized Technical Assessments With Generative AI
Hridoy Sankar Dutta, Sana Ansari, Swati Kumari, Shounak Ravi Bhalerao. (04/2026). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Student, Educator
Which age? Post-Secondary, Adult
Why use AI? Efficiency, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Descriptive – Product Development, Technical – ComputationalPedagogical Safety In Educational Reinforcement Learning: Formalizing And Detecting Reward Hacking In AI Tutoring Systems
Oluseyi Olukola, Nick Rahimi. (04/2026). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? High School (9-12), Post-Secondary
Why use AI? Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Technical – ComputationalSandpiper: Orchestrated AI-Annotation For Educational Discourse At Scale
Daryl Hedley, Doug Pietrzak, Jorge Dias, Ian Burden, Bakhtawar Ahtisham, Zhuqian Zhou, Kirk Vanacore, Joshua Marland, Rachel Slama, Justin Reich, Kenneth Koedinger, Rene Kizilcec. (04/2026). arXiv.
What is the application? Analyzing
Who is the user? Others
Which age? Post-Secondary
Why use AI? Efficiency
Study design: Descriptive – Product Development, Technical – ComputationalAmplifying Rural Educators' Perspectives: A Qualitative Study On The Impacts Of Generative AI In Rural U.S. High Schools
Shira Michel, Benjamin Taylor, Sabrina Parra Diaz, Joseph B. Wiggins, Ed Finn, Mahsan Nourani. (04/2026). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support, Organizing
Who is the user? Educator
Which age? High School (9-12)
Why use AI? Efficiency, Outcomes – Differentiation, Reimagined Schooling
Study design: Descriptive – Implementation and Use, Quantitative – OthersComparing The Impact Of Pedagogy-Informed Custom And General-Purpose Gai Chatbots On Students' Science Problem-Solving Processes And Performance Using Heterogeneous Interaction Network Analysis
Hanyu Su, Huilin Zhang, Shihui Feng. (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 – Other Academic, Outcomes – Durable Skills
Study design: Quantitative – OthersSame Feedback, Different Source: How AI Vs. Human Feedback Attribution And Credibility Shape Learner Behavior In Computing Education
Caitlin Morris, Pattie Maes. (04/2026). arXiv.
What is the application? Teaching – Assessment and Feedback
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 TrialBeyond The AI Tutor: Social Learning With LLM Agents
Harsh Kumar, Jonathan Vincentius, Zi Kang (Jace) Mu, Ashton Anderson. (04/2026). arXiv.
What is the application? Teaching – Instructional Materials, 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 – Numeracy, Outcomes – Durable Skills
Study design: Impact – Randomized Controlled Trial, Technical – ComputationalTailoring AI-Driven Reading Scaffolds To The Distinct Needs Of Neurodiverse Learners
Soufiane Jhilal, Eleonora Pasqua, Caterina Marchesi, Riccardo Corradi, Martina Galletti. (04/2026). arXiv.
What is the application? Teaching – Instructional Materials, Learning – Student Support
Who is the user? Student, Educator
Which age? Elementary (PK5)
Why use AI? Outcomes – Literacy, Outcomes – Differentiation
Study design: Descriptive – Implementation and Use, Descriptive – Product Development, Quantitative – OthersExploring Effective Strategies For Building A User-Configured GPT For Coding Classroom Dialogues
Luwei Bai, Dongkeun Han, Sara Hennessy. (04/2026). arXiv.
What is the application? Analyzing
Who is the user? Others
Which age? Elementary (PK5)
Why use AI? Efficiency
Study design: Descriptive – Product Development, Technical – ComputationalGrounding AI-in-Education Development in Teachers' Voices: Findings from a National Survey in Indonesia
Nurul Aisyah, Muhammad Dehan Al Kautsar, Arif Hidayat, and Fajri Koto. (04/2026). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Teaching – Professional Learning, Organizing
Who is the user? Educator
Which age? Elementary (PK5), Middle School (6-8), High School (9-12)
Why use AI? Efficiency
Study design: Descriptive – Implementation and Use, Quantitative – OthersImpact Of Multimodal And Conversational AI On Learning Outcomes And Experience
Karan Taneja, Anjali Singh, and Ashok K. Goel. (04/2026). 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 – Randomized Controlled TrialBenchmarking Educational Llms With Analytics: A Case Study On Gender Bias In Feedback
Yishan Du, Conrad Borchers, Mutlu Cukurova. (04/2026). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Educator
Which age? Middle School (6-8), High School (9-12), Post-Secondary
Why use AI? Other
Study design: Technical – ComputationalEvaluating Vision-Language And Large Language Models For Automated Student Assessment In Indonesian Classrooms
Nurul Aisyah, Muhammad Dehan Al Kautsar, Arif Hidayat, Raqib Chowdhury, and Fajri Koto. (04/2026). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user?
Which age? Elementary (PK5)
Why use AI? Outcomes – Literacy, Outcomes – Numeracy, Outcomes – Differentiation
Study design: Technical – Computational, Quantitative – OthersHow Motivation Relates To Generative AI Use: A Large-Scale Survey Of Mexican High School Students
Echo Zexuan Pan, Danny Glick, Ying Xu. (04/2026). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Student
Which age? High School (9-12)
Why use AI? Outcomes – Literacy, Outcomes – Numeracy
Study design: Descriptive – Implementation and Use, Quantitative – Others
