Research Study Repository
Research synthesis is AI-generated, human reviewed. Updated 04/2026.
Showing 1051 - 1080 of 1278 results
A GPT-based Code Review System for Programming Language Learning
Lee Dong-Kyu. (06/2024). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Student
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 – OthersWhat Conversational AI Can (and Can't) Tell Us About Peer Interaction in Higher Education
Vanessa Peters, Emily Pressler, Julie Neisler, Barbara Means. (06/2024). ISLS Repository.
What is the application? Analyzing
Who is the user? Educator
Which age? Post-Secondary
Why use AI? Efficiency
Study design: Quantitative – OthersThe governance of artificial intelligence in Canada: Findings and opportunities from a review of 84 AI governance initiatives
Blair Attard-Frost, Ana Brandusescu, Kelly Lyons. (06/2024). ScienceDirect.
What is the application?
Who is the user?
Which age?
Why use AI?
Study design: Systematic ReviewSystematic review of research on artificial intelligence in K-12 education (2017-2022)
Florence Martin, Min Zhuang, Darlene Schaefer. (06/2024). ScienceDirect.
What is the application? Teaching – Instructional Materials, 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)
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Numeracy, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Social Emotional, Outcomes – Durable Skills, Reimagined Schooling
Study design: Systematic ReviewResponsible Adoption of Generative AI in Higher Education: Developing a “Points to Consider” Approach Based on Faculty Perspectives
Ravit Dotan, Lisa S. Parker, John G. Radzilowicz. (06/2024). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Teaching – Professional Learning, Learning – Student Support, Organizing, Analyzing
Who is the user? Student, Educator, Others
Which age? Post-Secondary, Adult
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills, Reimagined Schooling, Other
Study design: Descriptive – Implementation and UseOverreliance on AI: Literature review
Samir Passi, Mihaela Vorvoreanu. (06/2024). Microsoft.
What is the application?
Who is the user? Others
Which age?
Why use AI?
Study design: Systematic ReviewHuman-AI Collaborative Essay Scoring: A Dual-Process Framework with LLMs
Changrong Xiao, Wenxing Ma, Qingping Song, Sean Xin Xu, Kunpeng Zhang, Yufang Wang, Qi Fu. (06/2024). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Educator
Which age? High School (9-12)
Why use AI? Efficiency, Outcomes – Literacy
Study design: Descriptive – Product Development, Technical – Computational, Quantitative – OthersHarvard Undergraduate Survey on Generative AI
Shikoh Hirabayashi, Rishab Jain, Nikola Jurkovic, Gabriel Wu. (06/2024). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Differentiation, Outcomes – Social Emotional, Outcomes – Durable Skills, Reimagined Schooling, Other
Study design: Descriptive – Implementation and Use, Quantitative – OthersGenerative AI for Enhancing Active Learning in Education: A Comparative Study of GPT-3.5 and GPT-4 in Crafting Customized Test Questions
Hamidreza Rouzegar, Masoud Makrehchit. (06/2024). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support
Who is the user?
Which age? High School (9-12)
Why use AI? Outcomes – Numeracy, Outcomes – Differentiation
Study design: Technical – ComputationalEncouraging Responsible Use of Generative AI in Education: A Reward-Based Learning Approach
Aditi Singh, Abul Ehtesham, Saket Kumar, Gaurav Gupta, Tala Talaei Khoei. (06/2024). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Middle School (6-8), High School (9-12), Post-Secondary
Why use AI? Outcomes – Numeracy, Outcomes – Durable Skills, Other
Study design: Descriptive – Product Development, Technical – Computational, Quantitative – OthersBringing Generative AI to Adaptive Learning in Education
Hang Li, Tianlong Xu, Chaoli Zhang, Eason Chen, Jing Liang, Xing Fan, Haoyang Li, Jiliang Tang, Qingsong Wen. (06/2024). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support, Analyzing
Who is the user? Student, Educator
Which age? 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
Study design: Descriptive – Implementation and Use, Descriptive – Product Development, Systematic ReviewAI AGENTS AND EDUCATION: SIMULATED PRACTICE AT SCALE
Ethan Mollick, Lilach Mollick, Natalie Bach, LJ Ciccarelli, Ben Przystanski, Daniel Ravipinto. (06/2024). arXiv.
What is the application? Teaching – Instructional Materials, 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 – Differentiation, Outcomes – Durable Skills, Reimagined Schooling
Study design: Descriptive – Product Development, Technical – ComputationalEffectiveness of Using ChatGPT as a Tool to Strengthen Benefits of the Flipped Learning Strategy
Gilberto Huesca, Yolanda Mart’nez-Trevi–o, JosŽ Mart’n Molina-Espinosa, Ana Raquel Sanrom‡n-Calleros, Roberto Mart’nez-Rom‡n, Eduardo Antonio Cendejas-Castro and Raime Bustos. (06/2024). Education Sciences.
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 TrialUsing Llms To Bring Evidence-Based Feedback Into The Classroom: AI-Generated Feedback Increases Secondary Students' Text Revision, Motivation, And Positive Emotions
Jennifer Meyer, Thorben Jansen, Ronja Schiller, Lucas W. Liebenow, Marlene Steinbach, Andrea Horbach, Johanna Fleckenstein. (06/2024). Computers and Education: Artificial Intelligence.
What is the application? Teaching – Assessment and Feedback
Who is the user? Student
Which age? High School (9-12)
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Social Emotional
Study design: Impact – Randomized Controlled TrialTowards A Human-in-the-Loop LLM Approach to Collaborative Discourse Analysis
Clayton Cohn, Caitlin Snyder, Justin Montenegro, Gautam Biswas. (05/2024). arXiv.
What is the application? Teaching – Assessment and Feedback, Analyzing
Who is the user? Educator
Which age? High School (9-12)
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Durable Skills
Study design: Descriptive – Product Development, Technical – Computational, Quantitative – OthersThe Role of Al in Peer Support for Young People: A Study of Preferences for Human- and Al-Generated Responses
Jordyn Young, Laala M Jawara, Diep N Nguyen, Brian Daly, Jina Huh-Yoo, Afsaneh Razi. (05/2024). arXiv.
What is the application? Communicating / Social Tools
Who is the user? Others
Which age? Post-Secondary
Why use AI? Outcomes – Social Emotional
Study design: Quantitative – OthersThe AI Collaborator: Bridging Human-Ai Interaction In Educational And Professional Settings
Mohammad Amin Samadi, Spencer JaQuay, Nia Nixon, Jing Gu. (05/2024). arXiv.
What is the application? Analyzing
Who is the user? Others
Which age? Post-Secondary, Adult
Why use AI? Outcomes – Durable Skills
Study design: Descriptive – Product Development, Technical – ComputationalResponding to Generative AI Technologies with Research-through-Design: The Ryelands AI Lab as an Exploratory Study
Jesse Josua Benjamin, Joseph Lindley, Elizabeth Edwards, Elisa Rubegni, Tim Korjakow, David Grist, Rhiannon Sharkey. (05/2024). arXiv.
What is the application? Teaching – Instructional Materials
Who is the user? Student
Which age? Elementary (PK5)
Why use AI? Outcomes – Durable Skills, Reimagined Schooling
Study design: Descriptive – Implementation and Use, Descriptive – Product DevelopmentMath Multiple Choice Question Generation via Human-Large Language Model Collaboration
Jaewook Lee, Digory Smith, Simon Woodhead, Andrew Lan. (05/2024). 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, Outcomes – Numeracy
Study design: Descriptive – Product Development, Quantitative – OthersLLMs can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought
Zhuoxuan Jiang, Haoyuan Peng, Shanshan Feng, Fan Li, Dongsheng Li. (05/2024). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user?
Which age? High School (9-12)
Why use AI? Outcomes – Numeracy
Study design: Technical – ComputationalLarge Language Models for In-Context Student Modeling: Synthesizing Student's Behavior in Visual Programming
Manh Hung Nguyen, Sebastian Tschiatschek, Adish Singla. (05/2024). arXiv.
What is the application? Analyzing
Who is the user?
Which age? Elementary (PK5), Middle School (6-8), High School (9-12)
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation
Study design: Technical – ComputationalLarge Language Models for Education: A Survey
Hanyi Xu, Wensheng Gan, Zhenlian Qi, Jiayang Wu and Philip S. Yu. (05/2024). arXiv.
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
Which age? 0-3 years, Elementary (PK5), Middle School (6-8), High School (9-12), Post-Secondary, Adult
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Numeracy, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills, Reimagined Schooling
Study design: Descriptive – Implementation and Use, Technical – Computational, Systematic ReviewJiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models
Kun Zhou, Beichen Zhang, Jiapeng Wang, Zhipeng Chen, Wayne Xin Zhao, Jing Sha, Zhichao Sheng, Shijin Wang, Ji-Rong Wen. (05/2024). arXiv.
What is the application? Teaching – Instructional Materials, Learning – Student Support
Who is the user?
Which age? Elementary (PK5), Middle School (6-8), High School (9-12), Post-Secondary
Why use AI? Efficiency, Outcomes – Numeracy
Study design: Technical – ComputationalIntelligent Tutor: Leveraging ChatGPT and Microsoft Copilot Studio to Deliver a Generative AI Student Support and Feedback System within Teams
Wei-Yu Chen. (05/2024). 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 – Differentiation, Outcomes – Durable Skills
Study design: Descriptive – Implementation and Use, Descriptive – Product Development, Impact – Quasi–experimental, Quantitative – OthersHybrid Context Retrieval Augmented Generation Pipeline: LLM-Augmented Knowledge Graphs and Vector Database for Accreditation Reporting Assistance
Candace Edwards. (05/2024). arXiv.
What is the application? Organizing, Analyzing
Who is the user? Educator, School Leader
Which age? Post-Secondary
Why use AI? Efficiency
Study design: Descriptive – Product Development, Technical – Computational, Quantitative – OthersHow Can I Get It Right? Using GPT to Rephrase Incorrect Trainee Responses
Jionghao Lin, Zifei Han, Danielle R. Thomas, Ashish Gurung, Shivang Gupta, Vincent Aleven, Kenneth R. Koedinger. (05/2024). arXiv.
What is the application? Teaching – Assessment and Feedback, Teaching – Professional Learning
Who is the user? Educator
Which age? Adult
Why use AI? Efficiency, Outcomes – Differentiation, Other
Study design: Descriptive – Product Development, Technical – Computational, Quantitative – OthersGPTutor: Great Personalized Tutor with Large Language Models for Personalized Learning Content Generation
Eason Chen, Jionghao Lin, Jia-En Lee, Kenneth Koedinger. (05/2024). arXiv.
What is the application? Teaching – Instructional Materials, Learning – Student Support
Who is the user? Student, Educator
Which age? Post-Secondary
Why use AI? Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Descriptive – Product DevelopmentGenerating A Crowdsourced Conversation Dataset to Combat Cybergrooming
Xinyi Zhang, Pamela J. Wisniewski, Jin-Hee Cho, Lifu Huang, Sang Won Lee. (05/2024). arXiv.
What is the application? Learning – Student Support, Communicating / Social Tools
Who is the user?
Which age? Middle School (6-8), High School (9-12)
Why use AI? Outcomes – Social Emotional, Outcomes – Durable Skills
Study design: Technical – ComputationalFOKE: A Personalized And Explainable Education Framework Integrating Foundation Models, Knowledge Graphs, And Prompt Engineering
Silan Hu, Xiaoning Wang. (05/2024). 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 – Literacy, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Social Emotional, Reimagined Schooling
Study design: Descriptive – Implementation and Use, Descriptive – Product Development, Technical – ComputationalEvaluating Students' Open-ended Written Responses with LLMs: Using the RAG Framework for GPT-3.5, GPT-4, Claude-3, and Mistral-Large
Jussi S. Jauhiainen, Agust’n Garagorry Guerra. (05/2024). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Educator
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Other Academic
Study design: Technical – Computational, Quantitative – Others
