Research Study Repository
Research synthesis is AI-generated, human reviewed. Updated 04/2026.
Showing 901 - 930 of 1278 results
Evaluating GenAI for Simplifying Texts for Education: Improving Accuracy and Consistency for Enhanced Readability
Stephanie L. Day, Jacapo Cirica, Steven R. Clapp, Veronika Penkova, Amy E. Giroux, Abbey Banta, Catherine Bordeau, Poojitha Mutteneni, Ben D. Sawyer. (01/2025). arXiv.
What is the application? Teaching – Instructional Materials
Who is the user? Others
Which age? Elementary (PK5), Middle School (6-8), High School (9-12)
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Other Academic, Outcomes – Differentiation
Study design: Technical – ComputationalEnhancing textual textbook question answering with large language models and retrieval augmented generation
Hessa A. Alawwad, Areej Alhothali, Usman Naseem, Ali Alkhathlan, Amani Jamal. (01/2025). arXiv.
What is the application? Learning – Student Support
Who is the user?
Which age? Middle School (6-8)
Why use AI? Outcomes – Other Academic
Study design: Technical – ComputationalDebugging Without Error Messages: How LLM Prompting Strategy Affects Programming Error Explanation Effectiveness
Audrey Salmon, Katie Hammer, Eddie Antonio Santos, Brett A. Becker. (01/2025). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Student
Which age? High School (9-12), Post-Secondary
Why use AI? Outcomes – Other Academic
Study design: Technical – ComputationalBridging the Early Science Gap with Artificial Intelligence Evaluating Large Language Models as Tools for Early Childhood Science Education
Annika Bush, Amin Alibakhshi. (01/2025). arXiv.
What is the application? Teaching – Instructional Materials
Who is the user? Educator
Which age? Elementary (PK5)
Why use AI? Outcomes – Other Academic
Study design: Quantitative – OthersAuto-Evaluation: A Critical Measure in Driving Improvements in Quality and Safety of AI-Generated Lesson Resources
Hannah-Beth Clark, Margaux Dowland, Laura Benton, Reka Budai, Ibrahim Kaan Keskin, Emma Searle, Matthew Gregory, Mark Hodierne, William Gayne, John Roberts. (01/2025). 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, Quantitative – OthersA Zero-Shot LLM Framework for Automatic Assignment Grading in Higher Education
Calvin Yeung, Jeff Yu, King Chau Cheung, Tat Wing Wong, Chun Man Chan, Kin Chi Wong, Keisuke Fujii. (01/2025). 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, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Impact – Quasi–experimentalA Study on Educational Data Analysis and Personalized Feedback Report Generation Based on Tags and ChatGPT*
Yizhou Zhou, Mengqiao Zhang, Yuan-Hao Jiang, Xinyu Gao, Naijie Liu, Bo Jiang. (01/2025). 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 – Product Development, Technical – Computational, Quantitative – OthersA Review of Artificial Intelligence Interventions for Students with Autism Spectrum Disorder
Sofia Kotsi, Spyridoula Handrinou, Georgia Iatraki, Spyridon-Georgios Soulis. (01/2025). MDPI.
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 – Differentiation, Outcomes – Social Emotional, Outcomes – Durable Skills
Study design: Systematic ReviewA Novel Approach to Scalable and Automatic Topic-Controlled Question Generation in Education
Ziqing Li, Mutlu Cukurova, Sahan Bulathwela. (01/2025). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback
Who is the user? Educator
Which age? Elementary (PK5), Middle School (6-8), High School (9-12), Post-Secondary
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation
Study design: Technical – ComputationalEducation in the Era of Generative Artificial Intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning
David Baidoo-Anu, Leticia Owusu Ansah. (01/2025). SSRN.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Student, Educator
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Other Academic, Outcomes – Differentiation, Reimagined Schooling
Study design: Systematic ReviewPredicting Long-Term Student Outcomes from Short-Term EdTech Log Data
Ge Gao, Amelia Leon, Andrea Jetten, Jasmine Turner, Husni Almoubayyed, Stephen Fancsali, Emma Brunskill. (01/2025). arXiv.
What is the application? Analyzing
Who is the user? Student
Which age? Elementary (PK5), Middle School (6-8)
Why use AI? Outcomes – Literacy, Outcomes – Numeracy
Study design: Quantitative – OthersThe effectiveness of ChatGPT in assisting high school students in programming learning: evidence from a quasi-experimental research
Tzu-Chi Yang, Yi-Chuan Hsu, Jiun-Yu Wu. (01/2025). Interactive Learning Environments.
What is the application? Learning – Student Support
Who is the user? Student
Which age? High School (9-12)
Why use AI? Outcomes – Other Academic, Outcomes – Durable Skills
Study design: Impact – Quasi–experimentalYou're (Not) My Type - Can LLMs Generate Feedback of Specific Types for Introductory Programming Tasks?
Dominic Lohr, Hieke Keuning, Natalie Kiesler. (12/2024). 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 – Differentiation
Study design: Descriptive – Product Development, Technical – ComputationalLeveraging AI for Rapid Generation of Physics Simulations in Education: Building Your Own Virtual Lab
Yossi Ben-Zion, Roi Einhorn Zarzecki, Joshua Glazer, Noah D. Finkelstein. (12/2024). arXiv.
What is the application? Teaching – Instructional Materials, Learning – Student Support
Who is the user? Student, Educator
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Descriptive – Product DevelopmentImproving the Validity of Automatically Generated Feedback via Reinforcement Learning
Alexander Scarlatos, Digory Smith, Simon Woodhead, Andrew Lan. (12/2024). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user?
Which age? Middle School (6-8)
Why use AI? Outcomes – Numeracy
Study design: Technical – ComputationalHarnessing AI in Secondary Education to Enhance Writing Competence
Eyvind Elstad, Harald Eriksen. (12/2024). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support, Organizing
Who is the user? Student, Educator
Which age?
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Differentiation
Study design:Generating Al Literacy MCQs: A Multi-Agent LLM Approach
Jiayi Wang, Ruiwei Xiao, Ying-Jui Tseng. (12/2024). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Educator
Which age? Middle School (6-8), High School (9-12)
Why use AI? Efficiency
Study design: Technical – ComputationalAI in Education: Rationale, Principles, and Instructional Implications
Eyvind Elstad. (12/2024). arXiv.
What is the application? Teaching – Instructional Materials, Learning – Student Support
Who is the user? Student, Educator
Which age? Elementary (PK5), Middle School (6-8), High School (9-12), Post-Secondary, Adult
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills, Reimagined Schooling, Other
Study design:A Benchmark for Math Misconceptions: Bridging Gaps in Middle School Algebra with AI-Supported Instruction
Nancy Otero, Stefania Druga and Andrew Lan. (12/2024). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user?
Which age? Middle School (6-8)
Why use AI? Outcomes – Numeracy, Outcomes – Differentiation
Study design: Technical – Computational"Give me the code" - Log Analysis of First-Year CS Students' Interactions With GPT
Pedro Alves, Bruno Pereira Cipriano. (12/2024). 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 – OthersWho is Helping Whom? Student Concerns about AI-Teacher Collaboration in Higher Education Classrooms
Bingyi Han, Simon Coghlan, George Buchanan, Dana McKay. (12/2024). 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
Study design: Descriptive – Implementation and UseTuning Music Education: AI-Powered Personalization in Learning Music
Mayank Sanganeria, Rohan Gala. (12/2024). arXiv.
What is the application? Teaching – Instructional Materials, Learning – Student Support
Who is the user? Student
Which age? Post-Secondary, Adult
Why use AI? Outcomes – Other Academic, Outcomes – Differentiation, Other
Study design: Descriptive – Product DevelopmentTransformative Influence of LLM and AI Tools in Student Social Media Engagement: Analyzing Personalization, Communication Efficiency, and Collaborative Learning
Masoud Bashiri,Kamran Kowsari. (12/2024). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support, Communicating / Social Tools, Organizing, Analyzing
Who is the user? Student
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Social Emotional, Outcomes – Durable Skills, Reimagined Schooling, Other
Study design: Technical – Computational, Quantitative – OthersThe Impact of Large Language Models on Students: A Randomised Study of Socratic vs. Non-Socratic AI and the Role of Step-by-Step Reasoning
Andrea Blasco, Vicky Charisi. (12/2024). SSRN.
What is the application? Learning – Student Support
Who is the user? Student
Which age? High School (9-12)
Why use AI? Outcomes – Other Academic, Outcomes – Durable Skills
Study design: Impact – Randomized Controlled TrialThe Evolving Usage of GenAI by Computing Students
Irene Hou, Hannah Vy Nguyen, Owen Man, Stephen MacNeil. (12/2024). 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 – Implementation and Use, Quantitative – OthersScaffold or Crutch? Examining College Students' Use and Views of Generative AI Tools for STEM Education
Karen D. Wang, Zhangyang Wu, L'Nard Tufts II, Carl Wieman, Shima Salehi, Nick Haber. (12/2024). 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
Why use AI? Efficiency, Outcomes – Numeracy, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Descriptive – Implementation and UseRevolutionizing Undergraduate Learning: CourseGPT and Its Generative AI Advancements
Ahmad M. Nazar, Mohamed Y. Selim, Ashraf Gaffar, Shakil Ahmed. (12/2024). 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
Why use AI? Efficiency, Outcomes – Differentiation, Outcomes – Durable Skills, Other
Study design: Descriptive – Product Development, Technical – Computational, Quantitative – OthersPromoting AI Literacy in Higher Education: Evaluating the IEC-V1 Chatbot for Personalized Learning and Educational Equity
Dr. Stefan Pietrusky. (12/2024). arXiv.
What is the application? Teaching – Professional Learning, Learning – Student Support
Who is the user? Educator
Which age? Post-Secondary
Why use AI? Outcomes – Differentiation, Other
Study design: Descriptive – Product Development, Quantitative – OthersModifying AI, Enhancing Essays: How Active Engagement with Generative AI Boosts Writing Quality
Kaixun Yang, Mladen Rakovi_, Zhiping Liang, Lixiang Yan, Zijie Zeng, Yizhou Fan, Dragan Ga_evi_, Guanliang Chen. (12/2024). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Durable Skills
Study design: Impact – Quasi–experimentalMNIST-Fraction: Enhancing Math Education with AI-Driven Fraction Detection and Analysis
Pegah Ahadian, Yunhe Feng, Karl Kosko, Richard Ferdig, Qiang Guan. (12/2024). arXiv.
What is the application? Teaching – Assessment and Feedback, Learning – Student Support, Analyzing
Who is the user? Student, Educator
Which age? Elementary (PK5), Middle School (6-8), High School (9-12), Post-Secondary
Why use AI? Efficiency, Outcomes – Numeracy
Study design: Technical – Computational
