Research Study Repository
Research synthesis is AI-generated, human reviewed. Updated 04/2026.
Showing 1021 - 1050 of 1278 results
Q-Module-Bot: A Generative AI-Based Question and Answer Bot for Module Teaching Support
Mia Allen; Usman Naeem; Sukhpal Singh Gill. (08/2024). IEEE.
What is the application? Teaching – Instructional Materials, Learning – Student Support, Organizing
Who is the user? Student, Educator, Others
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation, Other
Study design: Descriptive – Implementation and Use, Descriptive – Product Development, Quantitative – OthersMapping Artificial Intelligence Integration in Education: A Decade of Innovation and Impact (2013-2023)-A Bibliometric Analysis
Muhammad Afzaal, Xiao Shanshan, Dong Yan, Muhammad Younas. (08/2024). IEEE.
What is the application?
Who is the user?
Which age? High School (9-12), Post-Secondary
Why use AI?
Study design: Systematic ReviewBackwards Planning with Generative AI: Case Study Evidence from US K12 Teachers
Samantha Keppler, Wichinpong Park Sinchaisri, Clare Snyder. (08/2024). SSRN.
What is the application? Teaching – Instructional Materials, Teaching – Professional Learning
Who is the user? Educator
Which age? Elementary (PK5), Middle School (6-8), High School (9-12)
Why use AI? Efficiency, Outcomes – Numeracy, Outcomes – Other Academic
Study design: Quantitative – OthersThe Neglected 15%: Positive Effects Of Hybrid Human-Ai Tutoring Among Students With Disabilities
Danielle R. Thomas, Erin Gatz, Shivang Gupta, Vincent Aleven, Kenneth R. Koedinger. (07/2024). Artificial Intelligence in Education: 25th International Conference, AIED 2024.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Middle School (6-8)
Why use AI? Outcomes – Numeracy, Outcomes – Differentiation, Outcomes – Social Emotional
Study design: Impact – Quasi–experimentalStepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors
Nico Daheim, Jakub Macina, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan. (07/2024). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Elementary (PK5), Middle School (6-8), High School (9-12)
Why use AI? Efficiency, Outcomes – Numeracy, Outcomes – Differentiation
Study design: Technical – Computational, Quantitative – OthersRevolutionising Role-Playing Games with ChatGPT
Rita Stampfl, Barbara Geyer, Marie Deissl-O'Meara, Igor Ivkic. (07/2024). arXiv.
What is the application? Learning – Student Support, Communicating / Social Tools
Who is the user? Student
Which age? Post-Secondary
Why use AI? Outcomes – Durable Skills, Other
Study design: Quantitative – OthersRAMO: Retrieval-Augmented Generation for Enhancing MOOCs Recommendations
Jiarui Rao, Jionghao Lin. (07/2024). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Post-Secondary, Adult
Why use AI? Outcomes – Differentiation
Study design: Descriptive – Product Development, Technical – ComputationalFairyLandAI: Personalized Fairy Tales utilizing ChatGPT and DALLE-3
Georgios Makridis, Athanasios Oikonomou, Vasileios Koukosa. (07/2024). arXiv.
What is the application? Teaching – Instructional Materials, Learning – Student Support
Who is the user? Parent/Caregiver, Educator, Others
Which age? Elementary (PK5)
Why use AI? Outcomes – Literacy, Outcomes – Differentiation, Outcomes – Social Emotional, Outcomes – Durable Skills
Study design: Descriptive – Implementation and Use, Descriptive – Product Development, Technical – Computational, Quantitative – OthersExplainable Artificial Intelligence for Quantifying Interfering and High-Risk Behaviors in Autism Spectrum Disorder in a Real-World Classroom Environment Using Privacy-Preserving Video Analysis
Barun Das, Conor Anderson, Tania Villavicencio, Johanna Lantz, Jenny Foster, Theresa Hamlin, Ali Bahrami Rad, Gari D. Clifford, Hyeokhyen Kwon. (07/2024). arXiv.
What is the application? Learning – Student Support, Organizing, Analyzing
Who is the user?
Which age? Middle School (6-8), High School (9-12)
Why use AI? Efficiency, Outcomes – Differentiation, Outcomes – Social Emotional
Study design: Technical – ComputationalEnhancing Computer Programming Education with LLMs: A Study On Effective Prompt Engineering for Python Code Generation
Tianyu Wang, Nianjun Zhou, Zhixiong Chen. (07/2024). arXiv.
What is the application? Learning – Student Support
Who is the user? Student, Educator
Which age? Post-Secondary
Why use AI? Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Technical РComputationalCOMET : "Cone of experience” enhanced large multimodal model for mathematical problem generation
Sannyuya Liu, Jintian Feng, Zongkai Yang, Yawei Luo, Qian Wan, Xiaoxuan Shen, Jianwen Sun. (07/2024). arXiv.
What is the application? Teaching – Instructional Materials
Who is the user? Educator
Which age? Elementary (PK5), Middle School (6-8)
Why use AI? Outcomes – Numeracy, Outcomes – Differentiation
Study design: Technical – ComputationalBuilding a Domain-specific Guardrail Model in Production
Mohammad Niknazar, Paul V Haley, Latha Ramanan, Sang T. Truong, Yedendra Shrinivasan, Ayan Kumar Bhowmick, Prasenjit Dey, Ashish Jagmohan, Hema Maheshwari, Shom Ponoth, Robert Smith, Aditya Vempaty, Nick Haber, Sanmi Koyejo, Sharad Sundararajan. (07/2024). 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)
Why use AI? Efficiency, Other
Study design: Descriptive – Product Development, Technical – ComputationalTo accept or not to accept? An IRT-TOE Framework to Understand Educators' Resistance to Generative AI in Higher Education
Jan-Erik Kalmus, Anastasija Nikiforova. (07/2024). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Educator
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Durable Skills, Other
Study design: Quantitative – OthersIntegrating AI in College Education: Positive yet Mixed Experiences with ChatGPT
Xinrui Song, Jiajin Zhang, Pingkun Yan, Juergen Hahn, Uwe Kruger, Hisham Mohamed, Ge Wang. (07/2024). 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 – Other Academic
Study design: Descriptive – Implementation and Use, Quantitative – OthersHow do students use ChatGPT as a writing support?
Sarah Levine, Sarah W. Beck, Chris Mah, Lena Phalen, Jaylen Pittman. (07/2024). International Literacy Association.
What is the application? Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Student
Which age? High School (9-12)
Why use AI? Outcomes – Literacy, Outcomes – Durable Skills, Reimagined Schooling
Study design: Descriptive – Implementation and UseGenerative AI enhances individual creativity but reduces the collective diversity of novel content
Anil R. Doshi, Oliver P. Hauser. (07/2024). ScienceAdvances.
What is the application?
Who is the user? Others
Which age? Adult
Why use AI? Outcomes – Literacy, Outcomes – Differentiation, Other
Study design: Impact – Randomized Controlled TrialGenerative AI in Higher Education: Seeing ChatGPT Through Universities' Policies, Resources, and Guidelines
Hui Wang, Anh Dang, Zihao Wu, Son Mac. (07/2024). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Teaching – Professional Learning, Learning – Student Support
Who is the user? Student, Educator
Which age? Post-Secondary
Why use AI? Outcomes – Literacy, Outcomes – Durable Skills, Other
Study design: Descriptive – Implementation and Use, Quantitative – OthersGenerative AI Can Harm Learning
Hamsa Bastani, Osbert Bastani, Alp Sungu, Haosen Ge, Ozge Kabaci, Rei Mariman. (07/2024). SSRN.
What is the application? Learning – Student Support
Who is the user? Student
Which age? High School (9-12)
Why use AI? Outcomes – Numeracy, Outcomes – Durable Skills
Study design: Impact – Randomized Controlled TrialExploring Generative AI Policies in Higher Education: A Comparative Perspective from China, Japan, Mongolia, and the USA
Qin Xie, Ming Li, Ariunaa Enkhtur. (07/2024). arXiv.
What is the application? Teaching – Instructional Materials, Learning – Student Support, Organizing, Analyzing
Who is the user? Student, Educator, School Leader, Others
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Differentiation, Reimagined Schooling, Other
Study design: Descriptive – Implementation and UseDecision-Making Framework for the Utilization of Generative Artificial Intelligence in Education: A Case Study of ChatGPT
Umar Ali Bukar, Md. Shohel Sayeed, Siti Fatimah Abdul Razak, Sumendra Yogarayan, Radhwan Sneesl. (07/2024). IEEE.
What is the application?
Who is the user? Educator
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Durable Skills, Other
Study design: Quantitative – Others, Systematic ReviewCourseAssist: Pedagogically Appropriate AI Tutor for Computer Science Education
Ty Feng, Sa Liu, Dipak Ghosal. (07/2024). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Other Academic
Study design: Descriptive – Implementation and Use, Descriptive – Product Development, Technical – Computational, Quantitative – OthersThe Rise of Artificial Intelligence in Educational Measurement: Opportunities and Ethical Challenges
Okan Bulut, Maggie Beiting-Parrish, Jodi M. Casabianca, Sharon C. Slater, Hong Jiao, Dan Song, Christopher Ormerod, Deborah Gbemisola Fabiyi, Rodica Ivan, Cole Walsh, Oscar Rios, Joshua Wilson, Seyma N. Yildirim-Erbasli, Tarid Wongvorachan, Joyce Xinle Liu, Bin Tan, Polina Morilova. (06/2024). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support, Organizing, Analyzing
Who is the user? Student, Parent/Caregiver, Educator, School Leader, Others
Which age? Elementary (PK5), Middle School (6-8), High School (9-12), Post-Secondary
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Differentiation, Reimagined Schooling, Other
Study design: Descriptive – Implementation and Use, Descriptive – Product DevelopmentKnowledge Distillation of LLMs for Automatic Scoring of Science Assessments
Ehsan Latif, Luyang Fang, Ping Ma, Xiaoming Zhai. (06/2024). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user?
Which age? High School (9-12)
Why use AI? Efficiency, Outcomes – Other Academic
Study design: Technical – ComputationalInk and Algorithm: Exploring Temporal Dynamics in Human-AI Collaborative Writing
Kaixun Yang, Yixin Cheng, Linxuan Zhao, Mladen Rakovi_, Zachari Swiecki, Dragan Ga_evi_, Guanliang Chen. (06/2024). arXiv.
What is the application? Learning – Student Support
Who is the user? Others
Which age? Post-Secondary
Why use AI? Outcomes – Literacy
Study design: Quantitative – OthersHow Effective is GPT-4 Turbo in Generating School-Level Questions from Textbooks Based on Bloom's Revised Taxonomy?
Subhankar Maity, Aniket Deroy, Sudeshna Sarkar. (06/2024). arXiv.
What is the application? Teaching – Instructional Materials, 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 – Durable Skills
Study design: Technical – ComputationalGenerative Al and Digital Neocolonialism in Global Education: Towards an Equitable Framework
Matthew Nyaaba, Alyson Wright, Gyu Lim Choi. (06/2024). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Teaching – Professional Learning, 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 – Literacy, Outcomes – Other Academic, Outcomes – Differentiation, Reimagined Schooling
Study design: Descriptive – Implementation and UseExposing the Achilles' Heel: Evaluating LLMs Ability to Handle Mistakes in Mathematical Reasoning
Joykirat Singh, Akshay Nambi, Vibhav Vineet. (06/2024). arXiv.
What is the application? 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? Outcomes – Numeracy
Study design: Technical – ComputationalEvaluating Contextually Personalized Programming Exercises Created with Generative AI
Evanfiya Logacheva, Arto Hellas, James Prather, Sami Sarsa, Juho Leinonen. (06/2024). arXiv.
What is the application? Teaching – Instructional Materials
Who is the user? Student
Which age? Post-Secondary, Adult
Why use AI? Efficiency, Outcomes – Differentiation, Other
Study design: Quantitative – OthersComprehensive AI Assessment Framework: Enhancing Educational Evaluation With Ethical Ai Integration
Selcuk Kilinc. (06/2024). arXiv.
What is the application? Organizing
Who is the user? Educator, School Leader
Which age? Elementary (PK5), Middle School (6-8), High School (9-12), Post-Secondary
Why use AI? Outcomes – Differentiation, Outcomes – Durable Skills, Reimagined Schooling, Other
Study design: Descriptive – Product DevelopmentBeyond Answers: Large Language Model-Powered Tutoring System in Physics Education for Deep Learning and Precise Understanding
Zhoumingju Jiang, Mengjun Jiang. (06/2024). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? High School (9-12)
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Impact – Quasi–experimental
