Research Study Repository
Research synthesis is AI-generated, human reviewed. Updated 08/2026.
Showing 691 - 720 of 1627 results
Owlgorithm: Supporting Self-Regulated Learning In Competitive Programming Through Llm-Driven Reflection
Juliana Nieto-Cardenas, Erin Joy Kramer, Peter Kurto, Ethan Dickey, Andres Bejarano. (11/2025). 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 – Durable Skills
Study design: Descriptive – Product Development, Quantitative – OthersBridging The Skills Gap: A Course Model For Modern Generative Ai Education
Anya Bardach, Hamilton Murrah. (11/2025). 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 – Implementation and Use, Quantitative – OthersBridging Lms And Generative Ai: Dynamic Course Content Integration (Dcci) For Enhancing Student Satisfaction And Engagement Via The Ask Me Assistant
Kovan Mzwri, M√°rta Turcs√°nyi-Szabo. (11/2025). 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 – Differentiation, Outcomes – Durable Skills
Study design: Descriptive – Product Development, Quantitative – OthersUnderstanding Human-Ai Trust In Education
Griffin Pitts, Sanaz Motamedi. (11/2025). 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 – Durable Skills
Study design: Quantitative – OthersSlidebot: A Multi-Agent Framework For Generating Informative, Reliable, Multi-Modal Presentations
Eric Xie, Danielle Waterfield, Michael Kennedy, Aidong Zhang. (11/2025). 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 Development, Technical – ComputationalUco: A Multi-Turn Interactive Reinforcement Learning Method For Adaptive Teaching With Large Language Models
Shouang Wei, Min Zhang, Xin Lin, Bo Jiang, Kun Kuang, Zhongxiang Dai. (11/2025). arXiv.
What is the application? Teaching – Instructional Materials, Learning – Student Support
Who is the user? Educator
Which age? Middle School (6-8), High School (9-12)
Why use AI? Outcomes – Numeracy, Outcomes – Differentiation
Study design: Technical – ComputationalAutosynth: Automated Workflow Optimization For High-Quality Synthetic Dataset Generation Via Monte Carlo Tree Search
Shuzhen Bi, Chang Song, Siyu Song, Jinze Lv, Jian Chen, Xinyun Wang, Aimin Zhou, Hao Hao. (11/2025). arXiv.
What is the application? Teaching – Instructional Materials
Who is the user? Educator
Which age? Elementary (PK5), Middle School (6-8)
Why use AI? Efficiency, Outcomes – Numeracy, Outcomes – Other Academic, Reimagined Schooling
Study design: Descriptive – Product Development, Technical – ComputationalAi Tutoring Can Safely And Effectively Support Students: An Exploratory Rct In Uk Classrooms
LearnLM Team, Google & Eedi. (11/2025). Google.
What is the application? Learning – Student Support
Who is the user? Student, Educator
Which age? High School (9-12)
Why use AI? Efficiency, Outcomes – Numeracy, Outcomes – Durable Skills
Study design: Impact – Randomized Controlled TrialBeyond Algorethics: Addressing The Ethical And Anthropological Challenges Of Ai Recommender Systems
Octavian M. Machidon. (11/2025). arXiv.
What is the application? Communicating / Social Tools
Who is the user? Student
Which age? Elementary (PK5), Middle School (6-8), High School (9-12)
Why use AI? Outcomes – Social Emotional, Outcomes – Durable Skills, Reimagined Schooling
Study design:Report From Workshop On Dialogue Alongside Artificial Intelligence
Thomas J McKenna, Ingvill Rasmussen, Sten Ludvigsen, Avivit Arvatz, Christa Asterhan, Gaowei Chen, Julie Cohen, Michele Flammia, Dongkeun Han, Emma Hayward, Heather Hill, Yifat Kolikant, Helen Lehndorf, Kexin Li, Lindsay Clare Matsumura, Henrik Tj‚àö‚àènn, Pengjin Wang, Rupert Wegerif. (11/2025). arXiv.
What is the application? Teaching – Assessment and Feedback, Teaching – Professional Learning, Learning – Student Support, Analyzing
Who is the user? Student, Educator
Which age? Post-Secondary, Adult
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills, Other
Study design: Descriptive – Implementation and Use, Descriptive – Product Development, Impact – Randomized Controlled Trial, Impact – Quasi–experimental, Technical – ComputationalDiagramir: An Automatic Pipeline For Educational Math Diagram Evaluation
Vishal Kumar, Shubhra Mishra, Rebecca Hao, Rizwaan Malik, David Broman, Dorottya Demszky. (11/2025). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Educator
Which age? Elementary (PK5), Middle School (6-8), High School (9-12)
Why use AI? Efficiency, Outcomes – Numeracy
Study design: Technical – ComputationalA Matter Of Interest: Understanding Interestingness Of Math Problems In Humans And Language Models
Shubhra Mishra, Yuka Machino, Gabriel Poesia, Albert Jiang, Joy Hsu, Adrian Weller, Challenger Mishra, David Broman, Joshua B. Tenenbaum, Mateja Jamnik, Cedegao E. Zhang, Katherine M. Collins. (11/2025). arXiv.
What is the application? Teaching – Instructional Materials
Who is the user? Others
Which age? Post-Secondary, Adult
Why use AI? Outcomes – Numeracy, Reimagined Schooling
Study design: Technical – Computational, Quantitative – OthersComputational Blueprints: Generating Isomorphic Mathematics Problems With Large Language Models
Jeong-Hoon Kim, Jinwoo Nam, Geunsik Jo. (11/2025). arXiv.
What is the application? Teaching – Instructional Materials, Learning – Student Support
Who is the user? Others
Which age? Elementary (PK5), Middle School (6-8), High School (9-12), Post-Secondary
Why use AI? Efficiency, Outcomes – Numeracy, Outcomes – Differentiation
Study design: Technical – ComputationalAssisting The Grading Of A Handwritten General Chemistry Exam With Artificial Intelligence
Jan Cvengros, Gerd Kortemeyer. (11/2025). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Educator
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Other Academic
Study design: Quantitative – OthersClosing The Loop: An Instructor-In-The-Loop Ai Assistance System For Supporting Student Help-Seeking In Programming Education
Tung Phung, Heeryung Choi, Mengyan Wu, Christopher Brooks, Sumit Gulwani, Adish Singla. (11/2025). 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? Efficiency, Outcomes – Other Academic
Study design: Descriptive – Implementation and Use, Descriptive – Product Development, Quantitative – OthersMentor: A Metacognition-Driven Self-Evolution Framework For Uncovering And Mitigating Implicit Risks In Llms On Domain Tasks
Liang Shan, Kaicheng Shen, Wen Wu, Zhenyu Ying, Chaochao Lu, Guangze Ye, Liang He. (11/2025). 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? Efficiency, Other
Study design: Descriptive – Product Development, Technical – ComputationalEmnlp: Educator-Role Moral And Normative Large Language Models Profiling
Yilin Jiang, Mingzi Zhang, Sheng Jin, Zengyi Yu, Xiangjie Kong, Binghao Tu. (11/2025). arXiv.
What is the application? Teaching – Professional Learning
Who is the user? Others
Which age? Elementary (PK5), Middle School (6-8), High School (9-12), Post-Secondary
Why use AI? Outcomes – Social Emotional, Outcomes – Durable Skills
Study design: Technical – ComputationalEduguardbench: A Holistic Benchmark For Evaluating The Pedagogical Fidelity And Adversarial Safety Of Llms As Simulated Teachers
Yilin Jiang, Mingzi Zhang, Xuanyu Yin, Sheng Jin, Suyu Lu, Zuocan Ying, Zengyi Yu, Xiangjie Kong. (11/2025). arXiv.
What is the application? Teaching – Instructional Materials, 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 – Differentiation, Reimagined Schooling, Other
Study design: Descriptive – Product Development, Technical – Computational, Quantitative – OthersUnderstanding Student Interaction With Ai-Powered Next-Step Hints: Strategies And Challenges
Anastasiia Birillo, Aleksei Rostovskii, Yaroslav Golubev, Hieke Keuning. (11/2025). 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 – Product Development, Quantitative – OthersSimulating Students With Large Language Models: A Review Of Architecture, Mechanisms, And Role Modelling In Education With Generative Ai
Luis Marquez-Carpintero, Alberto Lopez-Sellers, Miguel Cazorla. (11/2025). arXiv.
What is the application? Teaching – Assessment and Feedback, Teaching – Professional Learning, Learning – Student Support, Analyzing
Who is the user? Educator
Which age? Elementary (PK5), Middle School (6-8), High School (9-12), Post-Secondary, Adult
Why use AI? Efficiency, Outcomes – Differentiation, Reimagined Schooling, Other
Study design: Systematic ReviewThe Imperfect Learner: Incorporating Developmental Trajectories In Memory-Based Student Simulation
Zhengyuan Liu, Stella Xin Yin, Bryan Chen Zhengyu Tan, Roy Ka-Wei Lee, Guimei Liu, Dion Hoe-Lian Goh, Wenya Wang, Nancy F. Chen. (11/2025). arXiv.
What is the application? Learning – Student Support
Who is the user? Others
Which age? Elementary (PK5)
Why use AI? Outcomes – Other Academic, Outcomes – Differentiation
Study design: Technical – ComputationalEduagentqg: A Multi-Agent Workflow Framework For Personalized Question Generation
Rui Jia, Min Zhang, Fengrui Liu, Bo Jiang, Kun Kuang, Zhongxiang Dai. (11/2025). arXiv.
What is the application? Teaching – Instructional Materials
Who is the user?
Which age? Elementary (PK5), Middle School (6-8)
Why use AI? Efficiency, Outcomes – Numeracy, Outcomes – Differentiation
Study design: Descriptive – Product Development, Technical – Computational, Quantitative – OthersAI Literacy For Community Colleges: Instructors' Perspectives On Scenario-Based And Interactive Approaches To Teaching AI
Aparna Maya Warrier, Arav Agarwal, Jaromir Savelka, Christopher A Bogart, Heather Burte. (11/2025). arXiv.
What is the application? Teaching – Instructional Materials, Learning – Student Support
Who is the user? Educator
Which age? Post-Secondary
Why use AI? Outcomes – Other Academic, Outcomes – Durable Skills
Study design: Descriptive – Implementation and Use, Descriptive – Product DevelopmentAssessing Problem Decomposition In Cs1 For The Genai Era
Samvrit Srinath, Annapurna Vadaparty, David H. Smith IV, Leo Porter, Daniel Zingaro. (11/2025). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Outcomes – Durable Skills, Reimagined Schooling
Study design: Descriptive – Implementation and Use, Descriptive – Product DevelopmentExtracting Causal Relations In Deep Knowledge Tracing
Kevin Hong, Kia Karbasi, Gregory Pottie. (11/2025). arXiv.
What is the application? Teaching – Assessment and Feedback, Learning – Student Support
Who is the user?
Which age? Elementary (PK5), Middle School (6-8), High School (9-12)
Why use AI? Efficiency, Outcomes – Numeracy, Outcomes – Differentiation
Study design: Technical – ComputationalScaffolding Metacognition In Programming Education: Understanding Student-Ai Interactions And Design Implications
BOXUAN MA, HUIYONG LI, GEN LI, LI CHEN, CHENG TANG, YINJIE XIE, CHENGHAO GU, ATUSHI SHIMADA, SHIN'ICHI KONOMI. (11/2025). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Quantitative – OthersExamining Student And Ai Generated Personalized Analogies In Introductory Physics
Amogh Sirnoorkar, Winter Allen, Syed Furqan Abbas Hashmi, N. Sanjay Rebello. (11/2025). arXiv.
What is the application? Teaching – Instructional Materials
Who is the user? Student
Which age? Post-Secondary
Why use AI? Outcomes – Other Academic, Outcomes – Differentiation
Study design: Descriptive – Implementation and Use, Quantitative – OthersArtificial Intelligence In Elementary Stem Education: A Systematic Review Of Current Applications And Future Challenges
Majid Memari, Krista Ruggles. (11/2025). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support, Analyzing
Who is the user? Student, Parent/Caregiver, Educator
Which age? Elementary (PK5)
Why use AI? Efficiency, Outcomes – Numeracy, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Social Emotional, Outcomes – Durable Skills, Reimagined Schooling
Study design: Systematic ReviewLlm Targeted Underperformance Disproportionately Impacts Vulnerable Users
Elinor Poole-Dayan, Deb Roy, Jad Kabbara. (11/2025). arXiv.
What is the application? Learning – Student Support
Who is the user?
Which age? Post-Secondary, Adult
Why use AI? Outcomes – Other Academic, Outcomes – Differentiation
Study design: Technical – ComputationalPhysicseval: Inference-Time Techniques To Improve The Reasoning Proficiency Of Large Language Models On Physics Problems
Oshayer Siddique, J. M Areeb Uzair Alam, Md Jobayer Rahman Rafy, Syed Rifat Raiyan, Hasan Mahmud, Md Kamrul Hasan. (11/2025). arXiv.
What is the application? Teaching – Instructional Materials
Who is the user?
Which age? High School (9-12), Post-Secondary
Why use AI? Outcomes – Numeracy, Outcomes – Other Academic
Study design: Technical – Computational

