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Research Study Repository
Research synthesis is AI-generated, human reviewed. Updated 08/2026.
Showing 1021 - 1050 of 1627 results
Enhancing Essay Cohesion Assessment: A Novel Item Response Theory Approach
Bruno Alexandre Rosa, Hil‡rio Oliveira, Luiz Rodrigues, Eduardo Araujo Oliveira, Rafael Ferreira Mello. (07/2025). arXiv.
What is the application? Teaching – Assessment and Feedback
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 – Differentiation
Study design: Technical – ComputationalFindings of the BEA 2025 Shared Task on Pedagogical Ability Assessment of AI-powered Tutors
Ekaterina Kochmar, Kaushal Kumar Maurya, Kseniia Petukhova, KV Aditya Srivatsa, Ana¯s Tack, Justin Vasselli. (07/2025). 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), Post-Secondary
Why use AI? Outcomes – Numeracy, Outcomes – Differentiation
Study design: Technical – ComputationalShort-Term Gains, Long-Term Gaps: The Impact Of GenAI and Search Technologies On Retention
Mahir Akgun, Sacip Toker. (07/2025). 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 TrialDo AI tutors empower or enslave learners? Toward a critical use of AI in education
Lucile Favero, Juan Antonio PŽrez-Ortiz, Tanja K‡sser and Nuria Oliver. (07/2025). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Differentiation, Outcomes – Social Emotional, Outcomes – Durable Skills, Reimagined Schooling
Study design: Descriptive – Implementation and UseExploring LLMs for Predicting Tutor Strategy and Student Outcomes in Dialogues
Fareya Ikram, Alexander Scarlatos, Andrew Lan. (07/2025). arXiv.
What is the application? Analyzing
Who is the user?
Which age? Middle School (6-8), High School (9-12)
Why use AI? Outcomes – Numeracy
Study design: Technical – ComputationalCreating a customisable freely-accessible Socratic AI physics tutor
Eugenio Tufino, Bor Gregorcic. (07/2025). 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 – Durable Skills
Study design: Descriptive – Implementation and Use, Descriptive – Product DevelopmentAssessing the Prevalence of AI-assisted Cheating in Programming Courses: A Pilot Study
KalŽu Delphino. (07/2025). 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, Quantitative – OthersNarrowing the Gap: Supervised Fine-Tuning of Open-Source LLMs as a Viable Alternative to Proprietary Models for Pedagogical Tools
Lorenzo Lee Solano, Charles Koutcheme, Juho Leinonen, Alexandra Vassar, Jake Renzella. (07/2025). 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, Other
Study design: Technical – ComputationalAGACCI : Affiliated Grading Agents for Criteria-Centric Interface in Educational Coding Contexts
Kwangsuk Park, Jiwoong Yang. (07/2025). 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
Study design: Technical – ComputationalConversational Education at Scale: A Multi-LLM Agent Workflow for Procedural Learning and Pedagogic Quality Assessment
Jiahuan Pei, Fanghua Ye, Xin Sun, Wentao Deng, Koen Hindriks, Junxiao Wang. (07/2025). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support
Who is the user?
Which age? Post-Secondary, Adult
Why use AI? Efficiency, Outcomes – Other Academic, Other
Study design: Descriptive – Product Development, Technical – ComputationalUnderstanding The Impacts Of Generative Ai Use On Children
Hashem, Y., Esnaashari, S., Onslow, K., Chakraborty, S., Poletaev, A., Francis, J., Bright, J. (2025).. (07/2025). SSRN.
What is the application? Learning – Student Support, Communicating / Social Tools
Who is the user? Student, Parent/Caregiver
Which age? Elementary (PK5)
Why use AI? Outcomes – Literacy, Outcomes – Social Emotional, Other
Study design: Quantitative – OthersDo Students Write Better Post-AI Support? Effects of Generative AI Literacy and Chatbot Interaction Strategies on Multimodal Academic Writing
Yueqiao Jin, Kaixun Yang, Roberto Martinez-Maldonado, Dragan Ga_evi_, Lixiang Yan. (07/2025). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Outcomes – Literacy, Outcomes – Durable Skills
Study design: Impact – Randomized Controlled TrialFrom Query to Explanation: Uni-RAG for Multi-Modal Retrieval-Augmented Learning in STEM
Xinyi Wu, Yanhao Jia, Luwei Xiao, Shuai Zhao, Fengkuang Chiang, Erik Cambria. (07/2025). arXiv.
What is the application? Teaching – Instructional Materials, Learning – Student Support
Who is the user? Student, Educator
Which age? Middle School (6-8), High School (9-12), Post-Secondary
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation
Study design: Technical – ComputationalEvaluating the Effectiveness of Large Language Models in Solving Simple Programming Tasks: A User-Centered Study
Kai Deng. (07/2025). 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 – Durable Skills
Study design: Impact – Quasi–experimentalDetection of Disengagement from Voluntary Quizzes: An Explainable Machine Learning Approach in Higher Distance Education
Behnam Parsaeifard, Christof Imhof, Tansu Pancar, Ioan-Sorin Comsa, Martin Hlosta, Nicole Bergamin and Per Bergamin. (07/2025). arXiv.
What is the application? Analyzing
Who is the user? Educator
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Technical – ComputationalAutonomous AI Surveillance: Multimodal Deep Learning for Cognitive and Behavioral Monitoring
Ameer Hamza, Zuhaib Hussain But, Umar Arif, Samiya, M. Abdullah Asad, Muhammad Naeem. (07/2025). arXiv.
What is the application? Teaching – Assessment and Feedback, Organizing, Analyzing
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: Descriptive – Product Development, Technical – ComputationalComputer Science Education in the Age of Generative AI
Russell Beale. (07/2025). 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, Reimagined Schooling
Study design: Descriptive – Implementation and UseTeacher training in the age of AI: Impact on AI Literacy and Teachers' Attitudes
Julia Lademann, Jannik Henze, Nadine Honke, Caroline Wollny, Sebastian Becker-Genschow. (07/2025). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Teaching – Professional Learning, Organizing
Who is the user? Educator
Which age? Elementary (PK5), Middle School (6-8), High School (9-12), Post-Secondary, Adult
Why use AI? Efficiency, Outcomes – Differentiation, Outcomes – Durable Skills, Reimagined Schooling, Other
Study design: Quantitative – OthersBenchmarking the Pedagogical Knowledge of Large Language Models
Maxime Lelievre, Amy Waldock, Meng Liu, Natalia Valdes Aspillaga, Alasdair Mackintosh, Mar’a JosŽ Ogando Portela, Jared Lee, Paul Atherton, Robin A. A. Ince, Oliver G. B. Garrod. (07/2025). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Teaching – Professional Learning
Who is the user?
Which age? 0-3 years, Elementary (PK5), Middle School (6-8), High School (9-12), Adult
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation
Study design: Technical – ComputationalText Production and Comprehension by Human and Artificial Intelligence: Interdisciplinary Workshop Report
Patrick Bolger, Morten H. Christiansen, Bill Cope, Pablo Contreras Kallens, Mary Kalantzis, Kyle Mahowald, Martin Pickering, Michael Ramscar, Alina Reznitskaya, Leila Wehbe, Wei Xu, Evgeny Chukharev, Emily Dux Speltz, Mark Torrance, Kimberly Becker, Phuong Nguyen, Dan Song. (07/2025). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Student, Educator
Which age? High School (9-12), Post-Secondary, Adult
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Descriptive – Implementation and UseThe Impact of AI on Educational Assessment: A Framework for Constructive Alignment
Patrick Stokkink. (07/2025). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Teaching – Professional Learning, Learning – Student Support, Organizing
Who is the user? Student, Educator
Which age? Post-Secondary
Why use AI? Outcomes – Durable Skills, Other
Study design: Descriptive – Implementation and Use, Quantitative – OthersAssessing GPTZero's Accuracy in Identifying AI vs. Human-Written Essays
Selin Dik, Osman Erdem, Mehmet Dik. (06/2025). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Educator
Which age? Post-Secondary
Why use AI? Other
Study design: Quantitative – OthersLeveraging a Multi-Agent LLM-Based System to Educate Teachers in Hate Incidents Management
Ewelina Gajewska, Michal Wawer, Katarzyna Budzynska, Jaroslaw A. Chudziak. (06/2025). arXiv.
What is the application? Teaching – Professional Learning
Who is the user? Educator
Which age? Adult
Why use AI? Efficiency, Outcomes – Durable Skills
Study design: Descriptive – Implementation and Use, Descriptive – Product Development, Technical – ComputationalDesigning an Adaptive Storytelling Platform to Promote Civic Education in Politically Polarized Learning Environments
Christopher M. Wegemer, Edward Halim, Jeff Burke. (06/2025). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? High School (9-12), Post-Secondary
Why use AI? Outcomes – Other Academic, Outcomes – Social Emotional, Outcomes – Durable Skills
Study design: Descriptive – Product Development, Technical – ComputationalChatGPT produces more “lazy” thinkers: Evidence of cognitive engagement decline
Georgios P. Georgiou. (06/2025). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Post-Secondary, Adult
Why use AI? Outcomes – Durable Skills
Study design: Impact – Randomized Controlled TrialComputer Vision for Objects used in Group Work: Challenges and Opportunities
Changsoo Jung, Sheikh Mannan, Jack Fitzgerald, Nathaniel Blanchard. (06/2025). arXiv.
What is the application? Teaching – Assessment and Feedback, Learning – Student Support
Who is the user?
Which age? Elementary (PK5), Middle School (6-8), High School (9-12)
Why use AI? Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Technical – ComputationalResearch on Comprehensive Classroom Evaluation System Based on Multiple AI Models
Xie Cong, Yang Li, Wang Daben, Xiao Jing. (06/2025). arXiv.
What is the application? Teaching – Assessment and Feedback, Teaching – Professional Learning, Analyzing
Who is the user? Educator
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Other Academic
Study design: Descriptive – Product Development, Technical – Computational, Quantitative – OthersImproving Student-AI Interaction Through Pedagogical Prompting: An Example in Computer Science Education
Ruiwei Xiao, Xinying Hou, Runlong Ye, Majeed Kazemitabaar, Nicholas Diana, Michael Liut, John Stamper. (06/2025). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Durable Skills
Study design: Descriptive – Product Development, Quantitative – OthersFEAT: A Preference Feedback Dataset through a Cost-Effective Auto-Generation and Labeling Framework for English AI Tutoring
Hyein Seo, Taewook Hwang, Yohan Lee, Sangkeun Jung. (06/2025). arXiv.
What is the application? Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Student
Which age? Elementary (PK5)
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Differentiation
Study design: Technical – ComputationalAdapting University Policies for Generative AI: Opportunities, Challenges, and Policy Solutions in Higher Education
Russell Beale. (06/2025). 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, Others
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Systematic Review
