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Research Study Repository
Research synthesis is AI-generated, human reviewed. Updated 08/2026.
Showing 1501 - 1530 of 1627 results
Applications, challenges and ethical issues of AI and ChatGPT in education
Dimitrios Sidiropoulos, Christos-Nikolaos Anagnostopoulos. (01/2024). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support, Organizing, Analyzing
Who is the user? Student, Educator
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Differentiation, Outcomes – Durable Skills, Reimagined Schooling, Other
Study design: Systematic ReviewDesign and implementation of an Al-enabled visual report tool as formative assessment to promote learning achievement and self-regulated learning: An experimental study
Xiaofang Liao, Xuedi Zhang, Zhifeng Wang, Heng Luo. (01/2024). BJET.
What is the application? Teaching – Assessment and Feedback, Learning – Student Support, Analyzing
Who is the user? Student
Which age? High School (9-12)
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Social Emotional
Study design: Impact – Quasi–experimentalUnderstanding Teacher Perspectives and Experiences After Deployment Of Ai Literacy Curriculum In Middle-School Classrooms
Prerna Ravi, Annalisa Broski, Glenda Stump, Hal Abelson, Eric Klopfer, Cynthia Breazeal. (12/2023). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Professional Learning, Learning – Student Support
Who is the user? Student, Educator
Which age? Middle School (6-8)
Why use AI? Outcomes – Other Academic, Outcomes – Durable Skills, Reimagined Schooling
Study design: Descriptive – Implementation and UseGemini Pro Defeated by GPT-4V: Evidence from Education
Gyeong-Geon Lee, Ehsan Latif, Lehong Shi, Xiaoming Zhai. (12/2023). 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? Outcomes – Other Academic
Study design: Technical – Computational, Quantitative – OthersFrom Voices to Validity: Leveraging Large Language Models (LLMs) for Textual Analysis of Policy Stakeholder Interviews
Alex Liu, Min Sun. (12/2023). arXiv.
What is the application? Analyzing
Who is the user? Educator
Which age? Elementary (PK5), Middle School (6-8), High School (9-12)
Why use AI? Efficiency, Other
Study design: Technical – Computational, Quantitative – OthersFine-tuning ChatGPT for Automatic Scoring
Ehsan Latif, Xiaoming Zhai. (12/2023). 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 – Other Academic, Outcomes – Differentiation
Study design: Technical – ComputationalChallenges and Opportunities of Moderating Usage of Large Language Models in Education
Lars Krupp, Steffen Steinert, Maximilian Kiefer-Emmanouilidis, Karina E. Avila, Paul Lukowicz, Jochen Kuhn, Stefan KŸchemann, Jakob Karolus. (12/2023). 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: Impact – Randomized Controlled TrialThe Impact of Student-AI Collaborative Feedback Generation on Learning Outcomes
Anjali Singh, Christopher Brooks, Xu Wang. (12/2023). OpenReview.
What is the application? Teaching – Assessment and Feedback
Who is the user? Student
Which age? Post-Secondary, Adult
Why use AI? Outcomes – Other Academic, Outcomes – Durable Skills
Study design: Impact – Randomized Controlled TrialDeciphering Stereotypes in Pre-Trained Language Models
Weicheng Ma, Henry Scheible, Brian Wang, Goutham Veeramachaneni, Pratim Chowdhary, Alan Sun, Andrew Koulogeorge, Lili Wang, Diyi Yang, Soroush Vosoughi. (12/2023). ACL Anthology.
What is the application? Analyzing
Who is the user?
Which age?
Why use AI? Other
Study design: Technical – ComputationalWhite Paper: The Generative Education (GenEd) Framework Empowering Educators as AI-Enhanced Mentors
Daniel Leiker. (11/2023). 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, Educator
Which age? Middle School (6-8), High School (9-12), Post-Secondary, Adult
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Social Emotional, Reimagined Schooling
Study design: Descriptive – Implementation and Use, Descriptive – Product DevelopmentThe Imitation Game: Detecting Human and AI-Generated Texts in the Era of ChatGPT and BARD
Kadhim Hayawi, Sakib Shahriar, Sujith Samuel Mathew. (11/2023). arXiv.
What is the application? Teaching – Assessment and Feedback, Analyzing
Who is the user? Educator
Which age? High School (9-12), Post-Secondary
Why use AI? Other
Study design: Technical – ComputationalRevolutionizing Customer Interactions: Insights and Challenges in Deploying ChatGPT and Generative Chatbots for FAQs
Feriel Khennouche, Youssef Elmira, Nabil Djebari, Yassine Himeur, Abbes Amira. (11/2023). arXiv.
What is the application? Teaching – Instructional Materials, Learning – Student Support, Organizing
Who is the user? Student
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Systematic ReviewRetrieval-augmented Generation to Improve Math Question-Answering: Trade-offs Between Groundedness and Human Preference
Zachary Levonian, Chenglu Li, Wangda Zhu, Anoushka Gade, Owen Henkel, Millie-Ellen Postle, Wanli Xing. (11/2023). arXiv.
What is the application? Learning – Student Support
Who is the user? Educator
Which age? Middle School (6-8)
Why use AI? Outcomes – Numeracy
Study design: Descriptive – Product Development, Technical – Computational, Quantitative – OthersMore Robots are Coming: Large Multimodal Models (ChatGPT) can Solve Visually Diverse Images of Parsons Problems
Irene Y. Hou, Owen Man, Sophia Mettille, Sebastian Gutierrez, Kenneth Angelikas, Stephen MacNeil. (11/2023). arXiv.
What is the application? Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Others
Which age? Post-Secondary
Why use AI? Outcomes – Other Academic
Study design: Technical – ComputationalGenerative AI in the Classroom: Can Students Remain Active Learners?
Rania Abdelghani, Helene Sauzeon, Pierre-Yves Oudeyer. (11/2023). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support
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 – Differentiation, Outcomes – Social Emotional, Outcomes – Durable Skills
Study design: Descriptive – Implementation and Use, Descriptive – Product DevelopmentMath Education With Large Language Models: Peril or Promise?
Harsh Kumar, David M. Rothschild, Daniel G. Goldstein, Jake M. Hofman. (11/2023). SSRN.
What is the application? Teaching – Instructional Materials, Learning – Student Support
Who is the user? Student
Which age? High School (9-12)
Why use AI? Outcomes – Numeracy
Study design: Impact – Randomized Controlled TrialImproving Teachers' Questioning Quality through Automated Feedback: A Mixed-Methods Randomized Controlled Trial in Brick-and-Mortar Classrooms
Dorottya Demszky, Jing Liu, Heather C. Hill, Shyamoli Sanghi, Ariel Chung. (11/2023). EdWorkingPapers.
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? Other
Study design: Impact – Randomized Controlled Trial, Quantitative – OthersImplicit Bias in Large Language Models: Experimental Proof and Implications for Education
Melissa Warr, Nicole Jakubczyk Oster, Roger Isaac. (11/2023). SSRN.
What is the application? Teaching – Assessment and Feedback
Who is the user? Educator
Which age? Middle School (6-8)
Why use AI? Other
Study design: Quantitative – OthersExploring User Perspectives on ChatGPT: Applications, Perceptions, and Implications for AI-Integrated Education
Reza Hadi Mogavi, Chao Deng, Justin Juho Kim, Pengyuan Zhou, Young D. Kwon, Ahmed Hosny Saleh Metwally, Ahmed Tlili, Simone Bassanelli, Antonio Bucchiarone, Sujit Gujar, Lennart E. Nacke, Pan Hui. (11/2023). 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, Others
Which age? 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, Other
Study design: Descriptive – Implementation and UseThe Robots are Here: Navigating the Generative AI Revolution in Computing Education
James Prather, Paul Denny, Juho Leinonen, Brett A. Becker, Ibrahim Albluwi, Michelle Craig, Hieke Keuning, Natalie Kiesler, Tobias Kohn, Andrew Luxton-Reilly, Stephen MacNeil, Andrew Petersen, Raymond Pettit, Brent N. Reeves, Jaromir Savelka. (10/2023). 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, Outcomes – Durable Skills, Other
Study design: Technical – Computational, Quantitative – Others, Systematic ReviewThe NCTE Transcripts: A Dataset of Elementary Math Classroom Transcripts
Dorottya Demszky, Heather Hill. (10/2023). arXiv.
What is the application? Teaching – Professional Learning
Who is the user? Educator
Which age? Elementary (PK5)
Why use AI? Outcomes – Numeracy
Study design: Technical – Computational, Quantitative – OthersNew Era of Artificial Intelligence In Education: Towards A Sustainable Multifaceted Revolution
Firuz Kamalov, David Santandreu Calonge, Ikhlaas Gurrib. (10/2023). 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, Educator
Which age? Middle School (6-8), High School (9-12), Post-Secondary, Adult
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills, Reimagined Schooling, Other
Study design: Systematic Review"Mistakes Help Us Grow”: Facilitating and Evaluating Growth Mindset Supportive Language in Classrooms
Kunal Handa, Margaret Clapper, Jessica Boyle, Rose E Wang, Diyi Yang, David S Yeager, Dorottya Demszky. (10/2023). arXiv.
What is the application? Teaching – Professional Learning
Who is the user? Educator
Which age? Elementary (PK5), Middle School (6-8)
Why use AI? Efficiency, Outcomes – Numeracy, Outcomes – Differentiation, Outcomes – Social Emotional
Study design: Impact – Quasi–experimental, Technical – ComputationalBridging the Gulf of Envisioning: Cognitive Challenges in Prompt Based Interactions with LLMs
Hari Subramonyam, Roy Pea, Christopher Lawrence Pondoc, Maneesh Agrawala, Colleen Seifert. (09/2023). arXiv.
What is the application?
Who is the user? Others
Which age?
Why use AI? Efficiency, Other
Study design: Descriptive – Product DevelopmentWith ChatGPT, do we have to rewrite our learning objectives - CASE study in Cybersecurity
Peter Jamieson, Suman Bhunia, Dhananjai M. Rao. (09/2023). 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 UseUsing Curriculum Theory to Inform Approaches to Generative AI in Schools
Myke Healy. (09/2023). arXiv.
What is the application? Teaching – Assessment and Feedback, Teaching – Professional Learning, Organizing
Who is the user? Educator, School Leader
Which age? High School (9-12), Post-Secondary
Why use AI? Reimagined Schooling, Other
Study design: Descriptive – Implementation and UseMore than Model Documentation: Uncovering Teachers' Bespoke Information Needs for Informed Classroom Integration of ChatGPT
Mei Tan, Hariharan Subramonyam. (09/2023). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support, Organizing
Who is the user? Educator
Which age? Middle School (6-8), High School (9-12)
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Other Academic, Outcomes – Differentiation, Reimagined Schooling
Study design: Descriptive – Implementation and Use, Quantitative – OthersImplementing Learning Principles with a Personal AI Tutor: A Case Study
Ambroise Baillifard, Maxime Gabella, Pamela Banta Lavenex, Corinna S. Martarelli. (09/2023). arXiv.
… constraints. Here we explore the integration of AI tutors to complement learning programs in accordance with … study was conducted at UniDistance Suisse, where an AI tutor app was provided to psychology students taking a … from existing course materials using GPT-3, the AI tutor developed a dynamic neural-network model of each …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 – Quasi–experimentalHow Novices Use LLM-Based Code Generators to Solve CS1 Coding Tasks in a Self-Paced Learning Environment
Majeed Kazemitabaar, Xinying Hou, Austin Henley, Barbara J. Ericson, David Weintrop, Tovi Grossman. (09/2023). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Middle School (6-8), High School (9-12)
Why use AI? Outcomes – Other Academic, Outcomes – Durable Skills
Study design: Descriptive – Implementation and Use, Quantitative – OthersGenerativism: the new hybrid
B. Mairead Pratschke. (09/2023). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support, Communicating / Social Tools, Analyzing
Who is the user? Student, Educator
Which age? Post-Secondary
Why use AI? Outcomes – Differentiation, Reimagined Schooling
Study design:
