Research Study Repository
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Showing 241 - 270 of 453 results
Developing a ChatGPT-Based Tool for Physics Experiment Teaching
Yifeng Liu, Min Li, Zhaojun Zhang, Youkang Fang, Meibao Qin. (08/2025). 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 DevelopmentPAPPL: Personalized AI-Powered Progressive Learning Platform
Shayan Bafandkar, Sungyong Chung, Homa Khosravian, Alireza Talebpour. (08/2025). arXiv.
What is the application? 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
Study design: Descriptive – Product Development, Impact – Quasi–experimentalDesigning an Interdisciplinary Artificial Intelligence Curriculum for Engineering: Evaluation and Insights from Experts
Johannes Schleiss, Anke Manukjan, Michelle Ines Bieber, Sebastian Lang, Sebastian Stober. (08/2025). arXiv.
What is the application?
Who is the user?
Which age? Post-Secondary
Why use AI? Outcomes – Other Academic, Outcomes – Durable Skills, Reimagined Schooling
Study design: Descriptive – Product Development, Quantitative – OthersCoGrader: Transforming Instructors' Assessment of Project Reports through Collaborative LLM Integration
Zixin Chen, Jiachen Wang, Yumeng Li, Haobo Li, Chuhan Shi, Rong Zhang, Huamin Qu. (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 – Differentiation, Outcomes – Durable Skills
Study design: Descriptive – Product Development, Quantitative – OthersRPKT: Learning What You Don't Know - Recursive Prerequisite Knowledge Tracing in Conversational AI Tutors for Personalized Learning
Jinwen Tang, Qiming Guo, Zhicheng Tang. (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
Study design: Descriptive – Product Development, Technical – ComputationalFrom Misunderstandings To Learning Opportunities: Leveraging Generative AI In Discussion Forums To Support Student Learning
Stanislav Pozdniakov, Jonathan Brazil, Oleksandra Poquet, Stephan Krusche, Santiago Berrezueta-Guzman, Shazia Sadiq, Hassan Khosravi. (08/2025). arXiv.
What is the application? Teaching – Instructional Materials, Analyzing
Who is the user? Educator
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Differentiation
Study design: Descriptive – Implementation and Use, Descriptive – Product DevelopmentNavigating the New Landscape: A Conceptual Model for Project-Based Assessment (PBA) in the Age of GenAI
Rajan Kadel, Samar Shailendra, Urvashi Rahul Saxena. (08/2025). 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? Outcomes – Differentiation, Outcomes – Durable Skills, Reimagined Schooling
Study design: Descriptive – Product DevelopmentNext-Gen Education: Enhancing AI for Microlearning
Saha, S., Rahbari, F., Sadique, F., Velamakanni, S. K. C., Farooque, M., Rothwell, W. J.. (08/2025). arXiv.
What is the application? Teaching – Instructional Materials
Who is the user? Educator
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills, Reimagined Schooling
Study design: Descriptive – Product Development, Quantitative – OthersListening with Language Models: Using LLMs to Collect and Interpret Classroom Feedback
Sai Siddartha Maram, Ulia Zaman, Magy Seif El-Nasr. (08/2025). 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, Reimagined Schooling
Study design: Descriptive – Implementation and Use, Descriptive – Product DevelopmentDesigning a Feedback-Driven Decision Support System for Dynamic Student Intervention
Timothy Oluwapelumi Adeyemi, Nadiah Fahad AlOtaibi. (08/2025). arXiv.
What is the application? Teaching – Assessment and Feedback, Analyzing
Who is the user? Educator
Which age? Post-Secondary
Why use AI? Outcomes – Other Academic, Outcomes – Differentiation
Study design: Descriptive – Product Development, Technical – ComputationalTowards Experience-Centered AI: A Framework for Integrating Lived Experience in Design and Development
Sanjana Gautam, Mohit Chandra, Ankolika De, Tatiana Chakravorti, Girik Malik, Munmun De Choudhury. (08/2025). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Student
Which age? Post-Secondary
Why use AI? Outcomes – Other Academic
Study design: Descriptive – Product Development, Systematic ReviewDean of LLM Tutors: Exploring Comprehensive and Automated Evaluation of LLM-generated Educational Feedback via LLM Feedback Evaluators
Keyang Qian, Yixin Cheng, Rui Guan, Wei Dai, Flora Jin, Kaixun Yang, Sadia Nawaz, Zachari Swiecki, Guanliang Chen, Lixiang Yan, Dragan Ga_evic. (08/2025). arXiv.
What is the application? Teaching – Assessment and Feedback, Analyzing
Who is the user? Others
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Other Academic
Study design: Descriptive – Product Development, Technical – ComputationalDiscerning Minds Or Generic Tutors? Evaluating Instructional Guidance Capabilities In Socratic LLMS
Ying Liu, Can Li, Ting Zhang, Mei Wang, Qiannan Zhu, Jian Li, Hua Huang. (08/2025). arXiv.
What is the application? Teaching – Instructional Materials, Learning – Student Support
Who is the user? Student
Which age? Middle School (6-8)
Why use AI? Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Descriptive – Product Development, Technical – ComputationalBuilding Effective Safety Guardrails in AI Education Tools
Hannah-Beth Clark, Laura Benton, Emma Searle, Margaux Dowland, Matthew Gregory, Will Gayne, John Roberts. (08/2025). 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)
Why use AI? Efficiency, Outcomes – Other Academic
Study design: Descriptive – Product Development, Technical – Computational, Quantitative – OthersA Mixed User-Centered Approach to Enable Augmented Intelligence in Intelligent Tutoring Systems: The Case of MathAlde app
Guilherme Guerino, Luiz Rodrigues, Luana Bianchini, Mariana Alves, Marcelo Marinho, Thomaz Veloso, Valmir Macario, Diego Dermeval, Thales Vieira, Ig Bittencourt, Seiji Isotani. (08/2025). arXiv.
What is the application? Teaching – Assessment and Feedback, Analyzing
Who is the user? Educator
Which age? Elementary (PK5)
Why use AI? Efficiency, Outcomes – Numeracy, Outcomes – Differentiation
Study design: Descriptive – Implementation and Use, Descriptive – Product Development, Quantitative – OthersWIP: Enhancing Game-Based Learning with AI-Driven Peer Agents
Chengzhang Zhu, Cecile H. Sam, Yanlai Wu, Ying Tang. (08/2025). arXiv.
What is the application? Learning – Student Support, Communicating / Social Tools
Who is the user? Student
Which age? Elementary (PK5), Middle School (6-8), High School (9-12)
Why use AI? Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills, Reimagined Schooling
Study design: Descriptive – Implementation and Use, Descriptive – Product Development, Quantitative – OthersBridging LLMs and Symbolic Reasoning in Educational QA Systems: Insights from the XAI Challenge at IJCNN 2025
Long S. T. Nguyen, Khang H. N. Vo, Thu H. A. Nguyen, Tuan C. Bui, Duc Q. Nguyen, Thanh-Tung Tran, Anh D. Nguyen, Minh L. Nguyen, Fabien Baldacci, Thang H. Bui, Emanuel Di Nardo, Angelo Ciaramella, Son H. Le, Ihsan Ullah, Lorenzo Di Rocco and Tho T. Quan. (08/2025). 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 – Product Development, Technical – ComputationalA Theory of Adaptive Scaffolding for LLM-Based Pedagogical Agents
Clayton Cohn, Surya Rayala, Namrata Srivastava, Joyce Horn Fonteles, Shruti Jain, Xinying Luo, Divya Mereddy, Naveeduddin Mohammed, Gautam Biswas. (08/2025). arXiv.
What is the application? Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Student
Which age? Middle School (6-8)
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Social Emotional, Outcomes – Durable Skills
Study design: Descriptive – Product Development, Technical – Computational, Quantitative – OthersTransparent Adaptive Learning via Data-Centric Multimodal Explainable AI
MARYAM MOSLEH, MARIE DEVLIN, ELLIS SOLAIMAN. (08/2025). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support, Analyzing
Who is the user? Student, Educator, Others
Which age? Elementary (PK5), Middle School (6-8), High School (9-12), Post-Secondary
Why use AI? Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Social Emotional, Outcomes – Durable Skills, Other
Study design: Descriptive – Product DevelopmentExplainable AI and Machine Learning for Exam-based Student Evaluation: Causal and Predictive Analysis of Socio-academic and Economic Factors
Bushra Akter, Md Biplob Hosen, Sabbir Ahmed, Mehrin Anannya, Md. Farhad Hossain. (08/2025). arXiv.
What is the application? Learning – Student Support, Analyzing
Who is the user? Student, Educator
Which age? Post-Secondary
Why use AI? Outcomes – Other Academic, Outcomes – Differentiation
Study design: Descriptive – Product Development, Technical – Computational, Quantitative – OthersTeaching at Scale: Leveraging AI to Evaluate and Elevate Engineering Education
J.-F. Chamberland, M. Carlisle, A. Jayaraman, K. R. Narayanan, S. Palsole, K. Watson. (08/2025). arXiv.
What is the application? Teaching – Assessment and Feedback, Analyzing
Who is the user? Educator
Which age? Post-Secondary
Why use AI? Efficiency, Reimagined Schooling, Other
Study design: Descriptive – Implementation and Use, Descriptive – Product Development, Technical – Computational, Quantitative – OthersAutomated Feedback on Student-Generated UML and ER Diagrams Using Large Language Models
Sebastian GŸrtl, Gloria Schimetta, David Kerschbaumer, Michael Liut, Alexander Steinmaurer. (07/2025). arXiv.
What is the application? Teaching – Assessment and Feedback, Learning – Student Support, Analyzing
Who is the user? Student, Educator
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Descriptive – Product DevelopmentDecoding Instructional Dialogue: Human-AI Collaborative Analysis of Teacher Use of AI Tool at Scale
Alex Liu, Lief Esbenshade, Shawon Sarkar, Victor Tian, Zachary Zhang, Kevin He, Min Sun. (07/2025). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Teaching – Professional Learning, Learning – Student Support, Communicating / Social Tools, Organizing
Who is the user? Educator
Which age? Elementary (PK5), Middle School (6-8), High School (9-12), Post-Secondary
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Numeracy, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills, Reimagined Schooling
Study design: Descriptive – Implementation and Use, Descriptive – Product Development, Technical – Computational, Quantitative – OthersStudents' Feedback Requests and Interactions with the SCRIPT Chatbot: Do They Get What They Ask For?
Andreas Scholl, Natalie Kiesler. (07/2025). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Descriptive – Implementation and Use, Descriptive – Product Development, Quantitative – OthersAI + LEARNING DIFFERENCES: Designing a Future with No Boundaries
Nneka J. McGee, Elizabeth Kozleski, Christopher J. Lemons, Isabelle C. Hau. (07/2025). Stanford Accelerator for Learning.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Teaching – Professional Learning, Learning – Student Support, Communicating / Social Tools, Organizing, Analyzing
Who is the user? Student, Parent/Caregiver, Educator, Others
Which age? Elementary (PK5), Middle School (6-8), High School (9-12), Post-Secondary, Adult
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Differentiation, Outcomes – Social Emotional, Outcomes – Durable Skills, Reimagined Schooling, Other
Study design: Descriptive – Implementation and Use, Descriptive – Product DevelopmentLEKIA: A Framework for Architectural Alignment via Expert Knowledge Injection
Boning Zhao, Yutong Hu. (07/2025). arXiv.
What is the application? Learning – Student Support
Who is the user? Others
Which age? Post-Secondary, Adult
Why use AI? Outcomes – Social Emotional, Other
Study design: Descriptive – Product Development, Technical – ComputationalPartnering with AI: A Pedagogical Feedback System for LLM Integration into Programming Education
Niklas Scholz, Manh Hung Nguyen, Adish Singla, Tomohiro Nagashima. (07/2025). arXiv.
What is the application? Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Student
Which age? Middle School (6-8), High School (9-12)
Why use AI? Outcomes – Differentiation
Study design: Descriptive – Product Development, Quantitative – OthersFindings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning
Tosin Adewumi, Foteini Simistira Liwicki, Marcus Liwicki, Viktor Gardelli, Lama Alkhaled, Hamam Mokayed. (07/2025). arXiv.
What is the application? Teaching – Instructional Materials, Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Outcomes – Numeracy, Outcomes – Differentiation, Outcomes – Social Emotional, Outcomes – Durable Skills, Reimagined Schooling
Study design: Descriptive – Product Development, Impact – Quasi–experimental, Technical – ComputationalMitigating Trojanized Prompt Chains In Educational Llm Use Cases: Experimental Findings and Detection Tool Design
Richard M. Charles, Ph.D, James H. Curry, Ph.D, Richard B. Charles. (07/2025). arXiv.
What is the application? Teaching – Instructional Materials, Learning – Student Support, Organizing
Who is the user? Student
Which age? Elementary (PK5), Middle School (6-8), High School (9-12)
Why use AI? Efficiency, Outcomes – Differentiation
Study design: Descriptive – Product Development, Technical – Computational, Quantitative – OthersOn the development of an AI performance and behavioural measures for teaching and classroom management
Andreea I.Niculescu, Jochen Ehnes, Chen Yi, Du Jiawei, Tay Chiat Pin, Joey Tianyi Zhou, Vigneshwaran Subbaraju, Teh Kah Kuan, Tran Huy Dat, Gi Soong Chee, Kenneth Kwok. (07/2025). arXiv.
What is the application? Teaching – Professional Learning
Who is the user? Educator
Which age? Post-Secondary
Why use AI? Efficiency, Other
Study design: Descriptive – Product Development, Technical – Computational
