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Research Study Repository
Research synthesis is AI-generated, human reviewed. Updated 08/2026.
Showing 1081 - 1110 of 1627 results
SRLAgent: Enhancing Self-Regulated Learning Skills through Gamification and LLM Assistance
Wentao Ge, Yuqing Sun, Ziyan Wang, Haoyue Zheng, Weiyang He, PiaoHong Wang, Qianyu Zhu, Benyou Wang. (06/2025). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills, Other
Study design: Descriptive – Product Development, Impact – Randomized Controlled TrialEducators' Perceptions of Large Language Models as Tutors: Comparing Human and AI Tutors in a Blind Text-only Setting
Sankalan Pal Chowdhury, Terry Jingchen Zhang, Donya Rooein, Dirk Hovy, Tanja Kasser, Mrinmaya Sachan. (06/2025). arXiv.
What is the application? Learning – Student Support
Who is the user? Educator
Which age? Elementary (PK5)
Why use AI? Efficiency, Outcomes – Numeracy, Outcomes – Differentiation
Study design: Quantitative – OthersSimClass: A Classroom Speech Dataset Generated via Game Engine Simulation For Automatic Speech Recognition Research
Ahmed Adel Attia, Jing Liu, Carol Espy-Wilson. (06/2025). arXiv.
What is the application?
Who is the user?
Which age? Elementary (PK5), Middle School (6-8)
Why use AI? Outcomes – Numeracy, Outcomes – Other Academic
Study design: Technical – ComputationalAI Tutors vs. Tenacious Myths: Evidence from Personalised Dialogue Interventions in Education
Brooklyn J. Corbett, Jason M. Tangen. (06/2025). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Post-Secondary, Adult
Why use AI? Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Impact – Randomized Controlled TrialIntent Matters: Enhancing AI Tutoring with Fine-Grained Pedagogical Intent Annotation
Kseniia Petukhova, Ekaterina Kochmar. (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 – Numeracy, Outcomes – Differentiation
Study design: Technical – ComputationalAutomatic Generation of Inference Making Questions for Reading Comprehension Assessments
Wanjing Anya Ma, Michael Flor, Zuowei Wang. (06/2025). 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? Efficiency, Outcomes – Literacy
Study design: Technical – ComputationalExploring Effective Strategies for Building a Customised GPT Agent for Coding Classroom Dialogues
Luwei Bai, Dongkeun Han, Sara Hennessy. (06/2025). arXiv.
What is the application? Analyzing
Who is the user? Educator, Others
Which age? Elementary (PK5)
Why use AI? Efficiency
Study design: Descriptive – Product Development, Quantitative – OthersAdultification Bias in LLMs and Text-to-Image Models
Jane Castleman, Aleksandra Korolova. (06/2025). arXiv.
What is the application?
Who is the user?
Which age? Elementary (PK5), Middle School (6-8), High School (9-12), Post-Secondary
Why use AI? Other
Study design: Technical – Computational, Quantitative – OthersSmall Models, Big Support: A Local LLM Framework For Teacher-Centric Content Creation And Assessment Using RAG and CAG
Zarreen Reza, Alexander Mazur, Michael T. Dugdale, Robin Ray-Chaudhuri. (06/2025). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback
Who is the user? Educator
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation
Study design: Descriptive – Product Development, Technical – Computational, Quantitative – OthersLeveraging Generative AI for Enhancing Automated Assessment in Programming Education Contests
Stefan Dascalescu, Dumitran Adrian Marius, Mihai Alexandru Vasiluta. (06/2025). 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), Post-Secondary
Why use AI? Efficiency, Outcomes – Durable Skills
Study design: Descriptive – Product Development, Technical – Computational, Quantitative – OthersT-TEXTS (Teaching Text Expansion for Teacher Scaffolding): Enhancing Text Selection in High School Literature through Knowledge Graph-Based Recommendation
Nirmal Gelal, Chloe Snow, Ambyr Rios, Hande Kuuk McGinty. (06/2025). arXiv.
What is the application? Teaching – Instructional Materials
Who is the user? Educator
Which age? High School (9-12)
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Differentiation
Study design: Technical – ComputationalEvaluating Vision - Language and Large Language Models for Automated Student Assessment in Indonesian Classrooms
Nurul Aisyah, Muhammad Dehan Al Kautsar, Arif Hidayat, Raqib Chowdhury, Fajri Koto. (06/2025). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Educator
Which age? Elementary (PK5)
Why use AI? Outcomes – Literacy, Outcomes – Numeracy, Outcomes – Differentiation
Study design: Technical – ComputationalMultiple-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 Development
