Research Study Repository
Research synthesis is AI-generated, human reviewed. Updated 04/2026.
Showing 1201 - 1230 of 1278 results
A Framework For Responsible Ai Education: A Working Paper
Caitlin M. Bentley, Christine Aicardi, Sammia C. Poveda, Leonardo Magela Cunha, David Kohan Marzagao, Richard Glover, Eryn Rigley, Simon Walker, Martin Compton, Oguz A. Acar. (08/2023). SSRN.
What is the application? Teaching – Professional Learning, 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:What Should Data Science Education Do with Large Language Models?
Xinming Tu, James Zou, Weijie J. Su, Linjun Zhang. (07/2023). 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 – Differentiation, Outcomes – Durable Skills, Reimagined Schooling
Study design: Descriptive – Implementation and Use, Technical – ComputationalPromptly: Using Prompt Problems to Teach Learners How to Effectively Utilize AI Code Generators
Paul Denny, Juho Leinonen, Andrew Luxton-Reilly, Thezyrie Amarouche, Brent N. Reeves, James Prather, Brett A. Becker. (07/2023). 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 – Durable Skills
Study design: Descriptive – Implementation and Use, Descriptive – Product DevelopmentPotential Benefits of Employing Large Language Models in Research in Moral Education and Development
Hyemin Han. (07/2023). arXiv.
What is the application? Analyzing
Who is the user? Educator
Which age? Post-Secondary
Why use AI? Outcomes – Social Emotional, Outcomes – Durable Skills
Study design: Technical – ComputationalOn the application of Large Language Models for language teaching and assessment technology
Andrew Caines, Luca Benedetto, Shiva Taslimipoor, Christopher Davis, Yuan Gao, ¯istein Andersen, Zheng Yuan, Mark Elliott, Russell Moore, Christopher Bryant, Marek Rei, Helen Yannakoudakis, Andrew Mullooly, Diane Nicholls, Paula Buttery. (07/2023). 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, Adult
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Other Academic, Outcomes – Differentiation
Study design: Technical – Computational, Quantitative – OthersA large language model-assisted education tool to provide feedback on open-ended responses
Jordan K. Matelsky, Felipe Parodi, Tony Liu, Richard D. Lange, Konrad P. Kording. (07/2023). 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), Post-Secondary
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation
Study design: Descriptive – Product Development, Technical – ComputationalUse Scenarios & Practical Examples of AI Use in Education Briefing report No. 3 by the European Digital Education Hub's squad on artificial intelligence in education
Dara Cassidy, Yann-A‘l Le Borgne, Francisco Bellas, Riina Vuorikari, Elise Rondin, Madhumalti Sharma, Jessica Niewint-Gori, Johanna Gršppler, Anne Gilleran, Lidija Kralj. (07/2023). arXiv.
What is the application? Teaching – Instructional Materials, Learning – Student Support, Communicating / Social Tools
Who is the user? Student, Educator
Which age? Elementary (PK5), Middle School (6-8), High School (9-12), Adult
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Descriptive – Implementation and UseUnderstanding the Dynamics of ChatGPT Adoption Among Undergraduate Students: Dataset from a Philippine State University
Celbert M. Himanga, Samuel C. Villa Jr., Neljun E. Mayorga, Nelson F. Nolon, Gregorio P. Pajaron Jr., Engezbent M. Himang. (07/2023). SSRN.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support, Communicating / Social Tools
Who is the user? Student
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Quantitative – OthersTeachers' And Students' Perception Towards Integration Of Artificial Intelligence In School Curriculum: A Survey
Rini Mandal, Jayanta Mete. (07/2023). SSRN.
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? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills, Reimagined Schooling
Study design: Descriptive – Implementation and UseM-Powering Teachers: Natural Language Processing Powered Feedback Improves 1:1 Instruction and Student Outcomes
Dorottya Demszky, Jing Liu. (07/2023). EdWorkingPapers.
What is the application? Teaching – Professional Learning
Who is the user? Educator
Which age? High School (9-12)
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Social Emotional, Outcomes – Durable Skills
Study design: Impact – Randomized Controlled TrialGPTeach: Interactive TA Training with GPT-based Students
Julia M. Markel, Steven G. Opferman, James A. Landay, Chris Piech. (07/2023). ACM Digital Library.
What is the application? Teaching – Professional Learning
Who is the user? Educator
Which age? Post-Secondary, Adult
Why use AI? Efficiency, Other
Study design: Descriptive – Product Development, Impact – Randomized Controlled Trial, Technical – Computational, Quantitative – OthersGPT detectors are biased against non-native English writers
Weixin Liang, Mert Yuksekgonul, Yining Mao, Eric Wu, James Zou. (07/2023). ScienceDirect.
What is the application? Teaching – Assessment and Feedback
Who is the user?
Which age? Middle School (6-8), Post-Secondary, Adult
Why use AI? Outcomes – Literacy
Study design: Technical – ComputationalExperimental evidence on the productivity effects of generative artificial intelligence
Shakked Noy, Whitney Zhang. (07/2023). Science.
What is the application?
Who is the user? Others
Which age? Adult
Why use AI? Efficiency, Outcomes – Literacy
Study design: Impact – Randomized Controlled TrialTowards Applying Powerful Large AI Models in Classroom Teaching: Opportunities, Challenges and Prospects
Kehui Tan, Tianqi Pang, Chenyou Fan, Song Yu. (06/2023). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Teaching – Professional Learning
Who is the user? Educator
Which age? Elementary (PK5), High School (9-12)
Why use AI? Efficiency, Outcomes – Numeracy, Outcomes – Other Academic, Outcomes – Durable Skills
Study design: Descriptive – Product Development, Technical – ComputationalThe BEA 2023 Shared Task on Generating AI Teacher Responses in Educational Dialogues
Ana•s Tack, Ekaterina Kochmar, Zheng Yuan, Serge Bibauw, Chris Piech. (06/2023). arXiv.
What is the application? Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Student
Which age?
Why use AI? Efficiency, Outcomes – Other Academic, Reimagined Schooling
Study design: Technical – ComputationalThe ADAIO System at the BEA-2023 Shared Task on Generating AI Teacher Responses in Educational Dialogues
Adaeze Adigwe, Zheng Yuan. (06/2023). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Student
Which age?
Why use AI? Outcomes – Other Academic, Outcomes – Differentiation
Study design: Descriptive – Product Development, Technical – ComputationalSIGHT: A Large Annotated Dataset on Student Insights Gathered from Higher Education Transcripts
Rose E. Wang, Pawan Wirawarn, Noah Goodman, Dorottya Demszky. (06/2023). arXiv.
What is the application? Teaching – Assessment and Feedback, Analyzing
Who is the user?
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Other Academic
Study design: Technical – ComputationalIs ChatGPT a Good Teacher Coach? Measuring Zero-Shot Performance For Scoring and Providing Actionable Insights on Classroom Instruction
Rose Wang, Dorottya Demszky. (06/2023). arXiv.
What is the application? Teaching – Professional Learning
Who is the user? Educator
Which age? Elementary (PK5)
Why use AI? Efficiency, Outcomes – Numeracy
Study design: Technical – Computational, Quantitative – OthersInterpretable Math Word Problem Solution Generation Via Step-by-step Planning
Mengxue Zhang, Zichao Wang, Zhichao Yang, Weiqi Feng, Andrew Lan. (06/2023). arXiv.
What is the application? Teaching – Instructional Materials, Learning – Student Support
Who is the user? Educator
Which age? Elementary (PK5), Middle School (6-8), High School (9-12)
Why use AI? Outcomes – Numeracy, Outcomes – Differentiation
Study design: Technical – ComputationalInspecting Spoken Language Understanding from Kids for Basic Math Learning at Home
Eda Okur, Saurav Sahay, Roddy Fuentes Alba, Lama Nachman. (06/2023). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Elementary (PK5)
Why use AI? Outcomes – Numeracy, Reimagined Schooling
Study design: Descriptive – Product Development, Technical – ComputationalComputing Education in the Era of Generative AI
Paul Denny, James Prather, Brett A. Becker, James Finnie-Ansley, Arto Hellas, Juho Leinonen, Andrew Luxton-Reilly, Brent N. Reeves, Eddie Antonio Santos, Sami Sarsa. (06/2023). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback
Who is the user? Student, Educator
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Durable Skills, Reimagined Schooling
Study design: Descriptive – Implementation and Use, Technical – ComputationalCases of EFL Secondary Students' Prompt Engineering Pathways to Complete a Writing Task with ChatGPT
David James Woo, Kai Guo, Hengky Susanto. (06/2023). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? High School (9-12)
Why use AI? Outcomes – Literacy, Outcomes – Durable Skills
Study design: Quantitative – OthersThe effect of generative artificial intelligence (AI)-based tool use on students' computational thinking skills, programming self-efficacy and motivation
Ramazan Yilmaz, Fatma Gizem Karaoglan Yilmaz. (06/2023). Computers and Education, Artificial Intelligence.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Outcomes – Durable Skills
Study design: Impact – Randomized Controlled TrialChatGPT: Revolutionizing student achievement in the electronic magnetism unit for eleventh-grade students in Emirates schools
Saif Alneyadi, Yousef Wardat. (06/2023). CedTech.
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 – Differentiation
Study design: Impact – Quasi–experimentalAssigning AI: Seven Approaches For Students With Prompts
Dr. Ethan Mollick, Dr. Lilach Mollick. (06/2023). SSRN.
What is the application? Teaching – Assessment and Feedback, Learning – Student Support, Communicating / Social Tools
Who is the user? Student
Which age? Post-Secondary, Adult
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Social Emotional, Outcomes – Durable Skills, Reimagined Schooling
Study design: Descriptive – Implementation and UseVisualizing Self-Regulated Learner Profiles in Dashboards: Design Insights from Teachers
Paola Mejia-Domenzain, Eva Laini, Seyed Parsa Neshaei, Thiemo Wambsganss, Tanja Kaser. (05/2023). arXiv.
What is the application? Analyzing
Who is the user? Educator
Which age? Post-Secondary
Why use AI? Outcomes – Differentiation, Outcomes – Social Emotional, Outcomes – Durable Skills
Study design: Descriptive – Product Development, Quantitative – OthersScalable Educational Question Generation with Pre-trained Language Models
Sahan Bulathwela, Hamze Muse and Emine Yilmaz. (05/2023). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback
Who is the user? Student, Educator
Which age? Post-Secondary, Adult
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation
Study design: Technical – ComputationalLet GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation
Zhenwen Liang, Wenhao Yu, Tanmay Rajpurohit, Peter Clark, Xiangliang Zhang, Ashwin Kaylan. (05/2023). arXiv.
What is the application? 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 – ComputationalEnhancing Chemistry Learning with ChatGPT and Bing Chat as Agents-to-Think-With: A Comparative Case Study
Renato P. dos Santos. (05/2023). arXiv.
What is the application? Learning – Student Support
Who is the user? Student, Educator
Which age? High School (9-12), Post-Secondary
Why use AI? Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Descriptive – Implementation and UseAlexa doesn't have that many feelings: Children's understanding of AI through interactions with smart speakers in their homes
Valentina Andries, Judy Robertson. (05/2023). arXiv.
What is the application? Communicating / Social Tools
Who is the user? Student
Which age? Elementary (PK5)
Why use AI? Outcomes – Durable Skills
Study design: Quantitative – Others
