Research Study Repository
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Showing 211 - 240 of 453 results
AutoSCORE: Enhancing Automated Scoring with Multi-Agent Large Language Models via Structured Component Recognition
Yun Wang, Zhaojun Ding, Xuansheng Wu, Siyue Sun, Ninghao Liu, Xiaoming Zhai. (09/2025). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user?
Which age? Middle School (6-8), High School (9-12), Post-Secondary
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Other Academic
Study design: Descriptive – Product Development, Technical – ComputationalLeveraging Large Language Models for Robot-Assisted Learning of Morphological Structures in Preschool Children with Language Vulnerabilities
Stina Sundstedt, Mattias Wingren, Susanne Hagglund, Daniel Ventus. (09/2025). arXiv.
What is the application? Teaching – Professional Learning, Learning – Student Support, Communicating / Social Tools
Who is the user? Student, Educator
Which age? Elementary (PK5)
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Differentiation
Study design: Descriptive – Implementation and Use, Descriptive – Product Development, Quantitative – OthersDesigning for Novice Debuggers: A Pilot Study on an Al-Assisted Debugging Tool
Oka Kurniawan, Erick Chandra, Christopher M. Poskitt, Yannic Noller, Kenny Tsu Wei Choo, Cyrille Jegourel. (09/2025). 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 – Product DevelopmentEnhancing 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 – OthersClassMind: Scaling Classroom Observation and Instructional Feedback with Multimodal AI
Ao Qu, Yuxi Wen, Jiayi Zhang, Yunge Wen, Yibo Zhao, Alok Prakash, Andres Salazar-Gomez, Paul Pu Liang, Jinhua Zhao. (09/2025). arXiv.
What is the application? Teaching – Professional Learning
Who is the user? Educator
Which age? Elementary (PK5), Middle School (6-8), High School (9-12)
Why use AI? Efficiency, Outcomes – Durable Skills
Study design: Descriptive – Implementation and Use, Descriptive – Product Development, Technical – Computational, Quantitative – OthersOnlineMate: An LLM-Based Multi-Agent Companion System for Cognitive Support in Online Learning
Xian Gao, Zongyun Zhang, Ting Liu, Yuzhuo Fu. (09/2025). arXiv.
What is the application? Learning – Student Support, Communicating / Social Tools
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, Technical – ComputationalFrom Service-Oriented Computing to Metaverse Services: A Framework for Inclusive and Immersive Learning for Neurodivergent Students
Rachid Hamadi, Abdelmounaam Rezgui, Ali Darejeh. (09/2025). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support, Communicating / Social Tools
Who is the user? Student
Which age? Elementary (PK5), Middle School (6-8), High School (9-12), Post-Secondary
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Social Emotional
Study design: Descriptive – Implementation and Use, Descriptive – Product DevelopmentDeliverC: Teaching Pointers through GenAI-Powered Game-Based Learning
Wyatt Petula, Anushcka Joshi, Peggy Tu, Amrutha Somasundar, Suman Saha. (09/2025). 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? Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills, Other
Study design: Descriptive – Implementation and Use, Descriptive – Product Development, Quantitative – OthersAn Outcome-Based Educational Recommender System
Nursultan Askarbekuly, Timur Fayzrakhmanov, Sladjan Babarogic, Ivan Lukovic. (09/2025). arXiv.
What is the application? Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Student
Which age? Adult
Why use AI? Outcomes – Other Academic, Outcomes – Differentiation
Study design: Descriptive – Product Development, Impact – Randomized Controlled Trial, Technical – ComputationalAI-driven formative assessment and adaptive learning in data-science education: Evaluating an LLM-powered virtual teaching assistant
Fadjimata I.Anaroua, Qing Li, Yan Tang, Hong P.Liu. (09/2025). arXiv.
What is the application? Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Student
Which age? Post-Secondary, Adult
Why use AI? Efficiency, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Descriptive – Product Development, Technical – ComputationalParticipatory AI: A Scandinavian Approach to Human-Centered AI
Niklas Elmqvist, Eve Hoggan, Hans-Jorg Schulz, Marianne Graves Petersen, Peter Dalsgaard, Ira Assent, Olav W. Bertelsen, Akhil Arora, Kaj Gronbaek, Susanne Bodker, Clemens N. Klokmose, Rachel Charlotte Smith, Sebastian Hubenschmid, Christoph A. Johns, Gabriela Molina Leon, Anton Wolter, Johannes Ellemose, Vaishali Dhanoa, Simon Aagaard Enni, Mille Skovhus Lunding, Karl-Emil Kjaer Bilstrup, Luke Connelly, Rafael Pablos Sarabia, Morten Birk, Juan Sanchez Esquivel, Joachim Nyborg, Stefanie Zollmann, Tobias Langlotz, Meredith Siang-Yun Chou, Jens Emil Sloth Gronbaek, Michael Wessely, Yijing Jiang, Caroline Berger, Duosi Dai, Michael Mose Biskjaer, German Leiva, Jonas Frich, Eva Eriksson, Kim Halskov, Thorbjorn Mikkelsen, Nearchos Potamitis, Michel Yildirim, Arvind Srinivasan, Jeanette Falk, Nanna Inie, Ole Sejer Iversen, Hugo Andersson. (09/2025). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Professional Learning, Learning – Student Support
Who is the user? Student, Educator
Which age? Elementary (PK5), Middle School (6-8), High School (9-12)
Why use AI? Outcomes – Literacy, Outcomes – Other Academic, Outcomes – Durable Skills, Reimagined Schooling
Study design: Descriptive – Implementation and Use, Descriptive – Product DevelopmentA GPU-Accelerated RAG-Based Telegram Assistant for Supporting Parallel Processing Students
Guy Tel-Zur. (09/2025). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Efficiency, Other
Study design: Descriptive – Product Development, Technical – ComputationalExploring Conversational Design Choices in LLMs for Pedagogical Purposes: Socratic and Narrative Approaches for Improving Instructor's Teaching Practice
SI CHEN, ISABEL R. MOLNAR, PEIYU LI, ADAM ACUNIN, TING HUA, ALEX AMBROSE, NITESH V. CHAWLA, RONALD METOYER. (09/2025). arXiv.
What is the application? Teaching – Professional Learning
Who is the user? Educator
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Durable Skills
Study design: Descriptive – Product Development, Quantitative – OthersGenAI Voice Mode in Programming Education
Sven Jacobs, Natalie Kiesler. (09/2025). 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 – Differentiation, Other
Study design: Descriptive – Implementation and Use, Descriptive – Product Development, Quantitative – OthersHumanizing Automated Programming Feedback: Fine-Tuning Generative Models with Student-Written Feedback
Victor-Alexandru Padurean, Tung Phung, Nachiket Kotalwar, Michael Liut, Juho Leinonen, Paul Denny, Adish Singla. (09/2025). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user?
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation
Study design: Descriptive – Product Development, Technical – ComputationalDeploying AI for Signal Processing education: Selected challenges and intriguing opportunities
Jarvis Haupt, Qin Lu, Yanning Shen, Jia Chen, Yue Dong, Dan McCreary, Mehmet Akcakaya, Georgios B. Giannakis. (09/2025). 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 – Differentiation, Reimagined Schooling
Study design: Descriptive – Product Development, Technical – Computational, Systematic ReviewThe ends of tests: Possibilities for transformative assessment and learning with generative AI
Bill Cope, Mary Kalantzis, Akash Kumar Saini. (09/2025). Unesco.
What is the application? Teaching – Assessment and Feedback
Who is the user? Student, Educator
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Differentiation, Outcomes – Durable Skills, Reimagined Schooling
Study design: Descriptive – Product DevelopmentSkill-based Explanations for Serendipitous Course Recommendation
Hung Chau, Run Yu, Zachary Pardos, Peter Brusilovsky. (08/2025). arXiv.
What is the application? Teaching – Instructional Materials, Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Descriptive – Product Development, Impact – Randomized Controlled Trial, Technical – ComputationalInstructional Agents: LLM Agents on Automated Course Material Generation for Teaching Faculties
Huaiyuan Yao, Wanpeng Xu, Justin Turnau, Nadia Kellam, Hua Wei. (08/2025). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback
Who is the user? Educator
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Other Academic, Reimagined Schooling
Study design: Descriptive – Product Development, Technical – Computational, Quantitative – OthersMathBuddy: A Multimodal System for Affective Math Tutoring
Debanjana Kar, Leopold B¬öss, Dacia Braca, Sebastian Maximilian Dennerlein, Nina Christine Hubig, Philipp Wintersberger, Yufang Hou. (08/2025). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? High School (9-12), Post-Secondary, Adult
Why use AI? Outcomes – Numeracy, Outcomes – Social Emotional
Study design: Descriptive – Product Development, Technical – Computational, Quantitative – OthersWho Is Lagging Behind: Profiling Student Behaviors with Graph-Level Encoding in Curriculum-Based Online Learning Systems
Qian Xiao, Conn Breathnach, Ioana Ghergulescu, Conor O'Sullivan, Keith Johnston, Vincent Wade. (08/2025). arXiv.
What is the application? Teaching – Assessment and Feedback, Analyzing
Who is the user? Educator
Which age? Elementary (PK5), Middle School (6-8), High School (9-12), Post-Secondary
Why use AI? Outcomes – Numeracy, Outcomes – Differentiation
Study design: Descriptive – Product Development, Technical – ComputationalToward Generalized Autonomous Agents: A Neuro-Symbolic AI Framework for Integrating Social and Technical Support in Education
Ryan Hare, Ying Tang. (08/2025). arXiv.
What is the application? Teaching – Instructional Materials, Learning – Student Support, Communicating / Social Tools
Who is the user? Student
Which age? Middle School (6-8), Post-Secondary
Why use AI? Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills, Reimagined Schooling
Study design: Descriptive – Product Development, Technical – ComputationalGOLDMIND: 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 – OthersAI-Supported Mini-Labs: Combining Smartphone-Based Experiments and Multimodal AI
Jochen Kuhn, David J. Rakestraw, Stefan Stefan KŸchemann, Patrik Vogt. (08/2025). arXiv.
What is the application? Learning – Student Support, Analyzing
Who is the user? Student
Which age?
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills, Reimagined Schooling
Study design: Descriptive – Product DevelopmentRoboBuddy 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–experimentalReliable generation of isomorphic physics problems using ChatGPT with prompt-chaining and tool use
Zhongzhou Chen. (08/2025). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback
Who is the user? Educator
Which age? High School (9-12), Post-Secondary
Why use AI? Efficiency, Outcomes – Differentiation
Study design: Descriptive – Product DevelopmentFrom Passive Tool to Socio-cognitive Teammate: A Conceptual Framework for Agentic AI in Human-AI Collaborative Learning
Lixiang Yan. (08/2025). arXiv.
What is the application? Learning – Student Support, Communicating / Social Tools
Who is the user? Student
Which age? High School (9-12), Post-Secondary, Adult
Why use AI? Efficiency, Outcomes – Social Emotional, Outcomes – Durable Skills, Reimagined Schooling
Study design: Descriptive – Product DevelopmentEnabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design
Jiayi Wang, Ruiwei Xiao, Xinying Hou, John Stamper. (08/2025). arXiv.
What is the application? Teaching – Instructional Materials
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: Descriptive – Product Development, Technical – Computational, Quantitative – OthersLearning to Use AI for Learning: How Can We Effectively Teach and Measure Prompting Literacy for K-12 Students?
Ruiwei Xiao, Xinying Hou, Ying-Jui Tseng, Hsuan Nieu, Guanze Liao, John Stamper, Kenneth R. Koedinger. (08/2025). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Student
Which age? Middle School (6-8), High School (9-12)
Why use AI? Outcomes – Literacy, Outcomes – Durable Skills
Study design: Descriptive – Product Development, Technical – Computational, Quantitative – OthersBreakable Machine: A K-12 Classroom Game for Transformative AI Literacy Through Spoofing and eXplainable AI (XAI)
Olli Hilke, Nicolas Pope, Juho Kahila, Henriikka Vartiainen, Teemu Roos, Tuomo Parkki, Matti Tedre. (08/2025). arXiv.
What is the application? Teaching – Instructional Materials
Who is the user? Student
Which age? Elementary (PK5), Middle School (6-8), High School (9-12)
Why use AI? Outcomes – Other Academic, Outcomes – Durable Skills, Reimagined Schooling
Study design: Descriptive – Product Development
