Research Study Repository
Research synthesis is AI-generated, human reviewed. Updated 04/2026.
Showing 721 - 750 of 1278 results
Deciphering Emotions In Children Storybooks: A Comparative Analysis Of Multimodal Llms In Educational Applications
Bushra Asseri, Estabraq Abdelaziz, Maha Al Mogren, Tayef Alhefdhi, Areej Al-Wabil. (06/2025). arXiv.
What is the application? Learning – Student Support
Who is the user?
Which age? Elementary (PK5)
Why use AI? Outcomes – Literacy, Outcomes – Social Emotional
Study design: Technical – ComputationalExploring the Usage of Generative AI for Group Project-Based Offline Art Courses in Elementary Schools
Zhiqing Wang, Haoxiang Fan, Shiwei Wu, Qiaoyi Chen, Yongqi Liang, Zhenhui Peng. (06/2025). arXiv.
What is the application? Teaching – Instructional Materials, Learning – Student Support, Communicating / Social Tools
Who is the user? Student, Educator
Which age? Elementary (PK5)
Why use AI? Efficiency, Outcomes – Differentiation, Outcomes – Durable Skills, Reimagined Schooling
Study design: Descriptive – Implementation and Use, Descriptive – Product Development, Impact – Quasi–experimentalLanguage Bottleneck Models: A Framework for Interpretable Knowledge Tracing and Beyond
Antonin Berthon, Mihaela van der Schaar. (06/2025). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Educator
Which age? Middle School (6-8), High School (9-12)
Why use AI? Outcomes – Other Academic, Outcomes – Differentiation
Study design: Technical – ComputationalDetecting LLM-Generated Short Answers and Effects on Learner Performance
Shambhavi Bhushan, Danielle R. Thomas, Conrad Borchers, Isha Raghuvanshi, Ralph Abboud, Erin Gatz, Shivang Gupta, Kenneth R. Koedinger. (06/2025). arXiv.
What is the application? Teaching – Assessment and Feedback, Analyzing
Who is the user? Student
Which age? Post-Secondary
Why use AI? Outcomes – Other Academic, Other
Study design: Technical – Computational, Quantitative – OthersA Large-Scale Real-World Evaluation of an LLM-Based Virtual Teaching Assistant
Sunjun Kweon, Sooyohn Nam, Hyunseung Lim, Hwajung Hong, Edward Choi. (06/2025). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Outcomes – Differentiation, Other
Study design: Quantitative – OthersFrom Generation to Adaptation: Comparing AI-Assisted Strategies in High School Programming Education
Tong Hua, Songzan Wang. (06/2025). 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: Descriptive – Implementation and Use, Quantitative – OthersPersonalizing Student-Agent Interactions Using Log-Contextualized Retrieval-Augmented Generation (RAG)
Clayton Cohn, Surya Rayala, Caitlin Snyder, Joyce Horn Fonteles, Shruti Jain, Naveeduddin Mohammed, Umesh Timalsina, Sarah K. Burriss, Ashwin T S, Namrata Srivastava, Menton Deweese, Angela Eeds, Gautam Biswas. (06/2025). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? High School (9-12)
Why use AI? Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Descriptive – Implementation and Use, Technical – ComputationalStudents' Reliance on AI in Higher Education: Identifying Contributing Factors
Griffin Pitts, Neha Rani, Weedguet Mildort, Eva-Marie Cook. (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 – Durable Skills
Study design: Quantitative – OthersFeeling Machines: Ethics, Culture, and the Rise of Emotional AI
Vivek Chavan, Arsen Cenaj, Shuyuan Shen, Ariane Bar, Srishti Binwani, Tommaso Del Becaro, Marius Funk, Lynn Greschner, Roberto Hung, Stina Klein, Romina Kleiner, Stefanie Krause, Sylwia Olbrych, Vishvapalsinhji Parmar, Jaleh Sarafraz, Daria Soroko, Daksitha Withanage Don, Chang Zhou, Hoang Thuy Duong Vu, Parastoo Semnani, Daniel Weinhardt, Elisabeth Andre, Jorg Kruger, Xavier Fresquet. (06/2025). arXiv.
What is the application? Learning – Student Support, Communicating / Social Tools, Analyzing
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 – Social Emotional
Study design:Sense and Sensibility: What makes a social robot convincing to high-school students?
Pablo Gonz‡lez-Oliveras, Olov Engwall, Ali Reza Majlesi. (06/2025). arXiv.
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 – Durable Skills
Study design: Impact – Quasi–experimentalRethinking Citation of AI Sources in Student-AI Collaboration within HCI Design Education
Prakash Shukla, Suchismita Naik, Ike Obi, Jessica Backus, Nancy Rasche, Paul Parsons. (06/2025). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Outcomes – Durable Skills
Study design: Descriptive – Implementation and UseDesigning Effective LLM-Assisted Interfaces for Curriculum Development
Abdolali Faraji, Mohammadreza Tavakoli, Mohammad Moein, Mohammadreza Molavi, Gabor Kismihok. (06/2025). arXiv.
What is the application? Teaching – Instructional Materials
Who is the user? Educator
Which age? Post-Secondary, Adult
Why use AI? Efficiency, Outcomes – Differentiation
Study design: Descriptive – Product Development, Quantitative – OthersGraduated Realism: A Pedagogical Framework for AI-Powered Avatars in Virtual Reality Teacher Training
Judson Leroy Dean Haynes IV. (06/2025). arXiv.
What is the application? Teaching – Professional Learning
Who is the user? Educator
Which age? Post-Secondary, Adult
Why use AI? Efficiency, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Systematic Review"Check My Work?" Measuring Sycophancy in a Simulated Educational Context
Chuck Arvin. (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 – Numeracy, Outcomes – Other Academic, Outcomes – Differentiation
Study design: Technical – ComputationalLLM-Driven Personalized Answer Generation and Evaluation
Mohammadreza Molavi, Mohammadreza Tavakoli, Mohammad Moein, Abdolali Faraji, Gabor Kismihok. (06/2025). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Post-Secondary, Adult
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation
Study design: Technical – ComputationalRETUYT-INCO at BEA 2025 Shared Task: How Far Can Lightweight Models Go in AI-powered Tutor Evaluation?
Santiago G—ngora, Ignacio Sastre, Santiago Robaina, Ignacio Remersaro, Luis Chiruzzo, Aiala Ros‡. (06/2025). arXiv.
What is the application? Analyzing
Who is the user? Others
Which age?
Why use AI? Efficiency, Outcomes – Numeracy
Study design: Technical – ComputationalCombining Log Data and Collaborative Dialogue Features to Predict Project Quality in Middle School AI Education
Conrad Borchers, Xiaoyi Tian, Kristy Elizabeth Boyer, Maya Israel. (06/2025). arXiv.
What is the application? Teaching – Assessment and Feedback, Analyzing
Who is the user? Student
Which age? Middle School (6-8)
Why use AI? Outcomes – Other Academic, Outcomes – Durable Skills
Study design: Technical – Computational, Quantitative – OthersCOGENT: A Curriculum-oriented Framework for Generating Grade-appropriate Educational Content
Zhengyuan Liu, Stella Xin Yin, Dion Hoe-Lian Goh, Nancy F. Chen. (06/2025). arXiv.
What is the application? Teaching – Instructional Materials
Who is the user?
Which age? Elementary (PK5)
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation
Study design: Descriptive – Product Development, Technical – ComputationalSRLAgent: 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 – Computational
