Research Study Repository
Research synthesis is AI-generated, human reviewed. Updated 04/2026.
Showing 751 - 780 of 1278 results
Multiple-Choice Question Generation Using Large Language Models: Methodology and Educator Insights
Giorgio Biancini, Alessio Ferrato, Carla Limongelli. (06/2025). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Educator
Which age? High School (9-12), Post-Secondary
Why use AI? Efficiency, Outcomes – Other Academic
Study design: Descriptive – Product Development, Quantitative – OthersSimulating LLM-to-LLM Tutoring for Multilingual Math Feedback
Junior Cedric Tonga, KV Aditya Srivatsa, Kaushal Kumar Maurya, Fajri Koto, Ekaterina Kochmar. (06/2025). 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? Outcomes – Numeracy, Outcomes – Differentiation
Study design: Technical – ComputationalSentiment Analysis in Learning Management Systems Understanding Student Feedback at Scale
Mohammed Almatauri. (06/2025). arXiv.
What is the application? Analyzing
Who is the user? Educator
Which age? Post-Secondary
Why use AI? Outcomes – Other Academic
Study design: Technical – ComputationalGenerating Pedagogically Meaningful Visuals for Math Word Problems: A New Benchmark and Analysis of Text-to-Image Models
Junling Wang, Anna Rutkiewicz, April Yi Wang, Mrinmaya Sachan. (06/2025). arXiv.
What is the application? Teaching – Instructional Materials
Who is the user? Educator
Which age? Elementary (PK5)
Why use AI? Efficiency, Outcomes – Numeracy, Outcomes – Durable Skills, Other
Study design: Descriptive – Product Development, Technical – ComputationalSingaKids: A Multilingual Multimodal Dialogic Tutor for Language Learning
Zhengyuan Liu, Geyu Lin, Yanfeng Lu, Hui Li Tan, Huayun Zhang, Xiaoxue Gao, Stella Xin Yin, He Sun, Hock Huan Goh, Lung Hsiang Wong, Nancy F. Chen. (06/2025). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Elementary (PK5)
Why use AI? Outcomes – Other Academic, Outcomes – Differentiation
Study design: Descriptive – Product Development, Technical – Computational, Quantitative – OthersTowards Generating Controllable and Solvable Geometry Problem by Leveraging Symbolic Deduction Engine
Zhuoxuan Jiang, Tianyang Zhang, Peiyan Peng, Jing Chen, Yinong Xun, Haotian Zhang, Lichi Li, Yong Li, Shaohua Zhang. (06/2025). arXiv.
What is the application? Teaching – Instructional Materials
Who is the user?
Which age? Middle School (6-8), High School (9-12)
Why use AI? Efficiency, Outcomes – Numeracy, Outcomes – Differentiation
Study design: Descriptive – Product Development, Technical – Computational, Quantitative – OthersExploiting the English Vocabulary Profile for L2 word-level vocabulary assessment with LLMs
Stefano Bann¬ò, Kate M. Knill, Mark J. F. Gales. (06/2025). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Educator
Which age? Post-Secondary, Adult
Why use AI? Outcomes – Literacy
Study design: Technical – ComputationalTestAgent: An Adaptive and Intelligent Expert for Human Assessment
Junhao Yu, Yan Zhuang, YuXuan Sun, Weibo Gao, Qi Liu, Mingyue Cheng, Zhenya Huang, Enhong Chen. (06/2025). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Student, Others
Which age? Elementary (PK5), Middle School (6-8), High School (9-12), Post-Secondary
Why use AI? Efficiency, Outcomes – Numeracy, Outcomes – Differentiation
Study design: Descriptive – Product Development, Impact – Quasi–experimental, Technical – ComputationalFacts Do Care About Your Language: Assessing Answer Quality of Multilingual LLMs
Shmuel Berman, Yuval Kansal, Lydia Liu. (06/2025). 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
Study design: Technical – ComputationalAI tutoring outperforms in-class active learning: an RCT introducing a novel research-based design in an authentic educational setting
Greg Kestin, Kelly Miller, Anna Klales, Timothy Milbourne, Gregorio Ponti. (06/2025). scientific reports.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Impact – Randomized Controlled TrialAn End-to-End Approach for Child Reading Assessment in the Xhosa Language
Sergio Chevtchenko, Nikhil Navas, Rafaella Vale, Franco Ubaudi, Sipumelele Lucwaba, Cally Ardington, Soheil Afshar, Mark Antoniou, Saeed Afshar. (06/2025). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Educator
Which age? Elementary (PK5)
Why use AI? Efficiency, Outcomes – Literacy
Study design: Technical – ComputationalA Practical Guide for Supporting Formative Assessment and Feedback Using Generative AI
Sapolnach Prompiengchai, Charith Narreddy, Steve Joordens. (06/2025). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support, Communicating / Social Tools
Who is the user? Student, Educator
Which age? High School (9-12), Post-Secondary
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Social Emotional, Outcomes – Durable Skills
Study design: Descriptive – Implementation and UseK12Vista: Exploring the Boundaries of MLLMs in K-12 Education
Chong Li, Chenglin Zhu, Tao Zhang, Mingan Lin, Zenan Zhou, Jian Xie. (06/2025). 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? Other
Study design: Technical – ComputationalBD at BEA 2025 Shared Task: MPNet Ensembles for Pedagogical Mistake Identification and Localization in AI Tutor Responses
Shadman Rohan, Ishita Sur Apan, Muhtasim Ibteda Shochcho, Md Fahim, Mohammad Ashfaq Ur Rahman, AKM Mahbubur Rahman, Amin Ahsan Ali. (06/2025). arXiv.
What is the application? Analyzing
Who is the user?
Which age? Middle School (6-8), High School (9-12), Post-Secondary
Why use AI? Outcomes – Numeracy
Study design: Technical – ComputationalCO-OPERA: A Human-AI Collaborative Playwriting Tool to Support Creative Storytelling for Interdisciplinary Drama Education
Xuejiao Ma, Haibo Zhao, Zinuo Guo, Yijie Guo, Guanhong Liu, Bo Jiang. (06/2025). arXiv.
What is the application? Learning – Student Support
Who is the user? Student, Educator
Which age? Middle School (6-8), High School (9-12)
Why use AI? Outcomes – Literacy, Outcomes – Durable Skills, Other
Study design: Descriptive – Implementation and Use, Descriptive – Product Development, Quantitative – OthersINNOVATIVE TANGIBLE INTERACTIVE GAMES FOR ENHANCING ARTIFICIAL INTELLIGENCE KNOWLEDGE AND LITERACY IN ELEMENTARY EDUCATION: A PEDAGOGICAL FRAMEWORK
Nikolaos Sampanis. (05/2025). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Elementary (PK5)
Why use AI? Outcomes – Literacy, Outcomes – Durable Skills, Reimagined Schooling
Study design: Descriptive – Implementation and Use, Descriptive – Product DevelopmentEncouraging Students' Responsible Use of GenAI in Software Engineering Education: A Causal Model and Two Institutional Applications
Vahid Garousi, Zafar Jafarov, Aytan Movsumova, Atif Namazov, Huseyn Mirzeyev. (05/2025). 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? Outcomes – Other Academic, Outcomes – Durable Skills
Study design: Descriptive – Implementation and Use, Descriptive – Product DevelopmentMachine vs Machine: Using AI to Tackle Generative AI Threats in Assessment
Mohammad Saleh Torkestani, Taha Mansouri. (05/2025). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Educator
Which age? Post-Secondary
Why use AI? Outcomes – Durable Skills, Reimagined Schooling
Study design: Descriptive – Product DevelopmentEvaluating Gemini in an Arena for Learning
LearnLM Team, Google. (05/2025). arXiv.
What is the application? Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Educator
Which age? Elementary (PK5), Middle School (6-8), High School (9-12), Post-Secondary, Adult
Why use AI? Outcomes – Literacy, Outcomes – Numeracy, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Technical – ComputationalWhere's the Line? A Classroom Activity on Ethical and Constructive Use of Generative AI in Physics
Zosia Krusberg. (05/2025). arXiv.
What is the application? Teaching – Instructional Materials, 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 Use, Descriptive – Product DevelopmentEnhancing Marker Scoring Accuracy through Ordinal Confidence Modelling in Educational Assessments
Abhirup Chakravarty, Mark Brenchley, Trevor Breakspear, Ian Lewin, Yan Huang. (05/2025). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Educator
Which age? Post-Secondary, Adult
Why use AI? Efficiency, Other
Study design: Technical – ComputationalFrom Coders to Critics: Empowering Students through Peer Assessment in the Age of AI Copilots
Santiago Berrezueta-Guzman, Stephan Krusche, Stefan Wagner. (05/2025). arXiv.
What is the application?
Who is the user?
Which age? Post-Secondary
Why use AI? Outcomes – Durable Skills
Study design: Quantitative – OthersA Human-Centric Approach to Explainable AI for Personalized Education
Vinitra Swamy. (05/2025). 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, Technical – Computational, Quantitative – OthersDistinguishing Fact from Fiction: Student Traits, Attitudes, and AI Hallucination Detection in Business School Assessment
Dr Canh Thien Dang, Dr An Nguyen. (05/2025). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Student
Which age? Post-Secondary
Why use AI? Outcomes – Durable Skills
Study design: Quantitative – OthersLearn Like Feynman: Developing and Testing an AI-Driven Feynman Bot
Akshaya Rajesh, Sumbul Khan. (05/2025). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Adult
Why use AI? Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Descriptive – Product Development, Impact – Quasi–experimentalFrom EduVisBench to EduVisAgent: A Benchmark and Multi-Agent Framework for Reasoning-Driven Pedagogical Visualization
Haonian Ji, Shi Qiu, Siyang Xin, Siwei Han, Zhaorun Chen, Dake Zhang, Hongyi Wang, Huaxiu Yao. (05/2025). arXiv.
What is the application? Teaching – Instructional Materials
Who is the user?
Which age? Elementary (PK5), Middle School (6-8), High School (9-12)
Why use AI? Outcomes – Numeracy, Outcomes – Other Academic, Outcomes – Differentiation
Study design: Technical – ComputationalCoderAgent: Simulating Student Behavior for Personalized Programming Learning with Large Language Models
Yi Zhan, Qi Liu, Weibo Gao, Zheng Zhang, Tianfu Wang, Shuanghong Shen, Junyu Lu and Zhenya Huang. (05/2025). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Post-Secondary, Adult
Why use AI? Efficiency, Outcomes – Differentiation
Study design: Technical – ComputationalLMCD: Language Models are Zeroshot Cognitive Diagnosis Learners
Yu He, Zihan Yao, Chentao Song, Tianyu Qi, Jun Liu, Ming Li, Qing Huang. (05/2025). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user?
Which age? Elementary (PK5), Middle School (6-8), High School (9-12)
Why use AI? Outcomes – Numeracy, Outcomes – Differentiation
Study design: Technical – ComputationalEvaluating LLM Adaptation to Sociodemographic Factors: User Profile vs. Dialogue History
Qishuai Zhong, Zongmin Li, Siqi Fan, Aixin Sun. (05/2025). arXiv.
What is the application?
Who is the user?
Which age?
Why use AI? Other
Study design: Technical – ComputationalA Structured Unplugged Approach for Foundational AI Literacy in Primary Education
Maria Cristina Carrisi, Mirko Marras, Sara Vergallo. (05/2025). arXiv.
What is the application?
Who is the user?
Which age? Elementary (PK5)
Why use AI? Outcomes – Numeracy, Outcomes – Other Academic, Outcomes – Durable Skills
Study design: Quantitative – Others
