Research Study Repository
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Showing 931 - 960 of 1372 results
Assessing AI-Generated Questions' Alignment with Cognitive Frameworks in Educational Assessment
Antoun Yaacoub, Jerome Da-Rugna, Zainab Assaghir. (04/2025). 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 – Differentiation, Outcomes – Durable Skills
Study design: Technical – ComputationalRethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models
Kester Wong, Bin Wu, Sahan Bulathwela, Mutlu Cukurova. (04/2025). arXiv.
What is the application? Teaching – Assessment and Feedback, Analyzing
Who is the user?
Which age? High School (9-12)
Why use AI? Outcomes – Durable Skills
Study design: Technical – ComputationalTowards responsible AI for education: Hybrid human-AI to confront the Elephant in the room
Danial Hooshyar, Gustav Sir, Yeongwook Yang, Eve Kikas, Raija Hamalainen, Tommi Karkkainen, Dragan Gasevic, Roger Azevedo. (04/2025). arXiv.
What is the application? Teaching – Assessment and Feedback, Learning – Student Support, Analyzing
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 – Other Academic, Outcomes – Differentiation, Outcomes – Social Emotional, Outcomes – Durable Skills
Study design: Technical – ComputationalAI for Accessible Education: Personalized Audio-Based Learning for Blind Students
Crystal Yang, Paul Taele. (04/2025). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Student
Which age? Elementary (PK5)
Why use AI? Outcomes – Literacy, Outcomes – Numeracy, Outcomes – Differentiation
Study design: Descriptive – Product DevelopmentAugmenting Captions With Emotional Cues: An Ar Interface For Real-Time Accessible Communication
Sunday David Ubur. (04/2025). 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
Study design: Descriptive – Product Development, Technical – Computational, Quantitative – OthersINSIGHT: Bridging the Student-Teacher Gap in Times of Large Language Models
Jarne Thys, Sebe Vanbrabant, Davy Vanacken, Gustavo Rovelo Ruiz. (04/2025). arXiv.
What is the application? Learning – Student Support, Analyzing
Who is the user? Student, Educator
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Descriptive – Product Development, Technical – ComputationalMultilingual Performance Biases of Large Language Models in Education
Vansh Gupta, Sankalan Pal Chowdhury, Vilem Zouhar, Donya Rooein, Mrinmaya Sachan. (04/2025). 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 – Other Academic, Outcomes – Differentiation
Study design: Technical – ComputationalFrom Prompts to Propositions: A Logic-Based Lens on Student-LLM Interactions
Ali Alfageeh, Sadegh Almahdi Kazemi Zarkouei, Daye Nam, Daniel Prol, Matin Amoozadeh, Souti Chattopadhyay, James Prather, Paul Denny, Juho Leinonen, Michael Hilton, Sruti Srinivasa Ragavan, Mohammad Amin Alipour. (04/2025). arXiv.
What is the application? Learning – Student Support, Analyzing
Who is the user? Student
Which age? Post-Secondary
Why use AI? Outcomes – Durable Skills, Other
Study design: Technical – Computational, Quantitative – OthersArtificial Intelligence Generates Stereotypical Images of Scientists but Can Also Detect Them: A Pilot Study Using the Draw-A-Scientist Test
Gyeonggeon Lee. (04/2025). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Others
Which age? Middle School (6-8), High School (9-12), Post-Secondary
Why use AI? Efficiency, Outcomes – Other Academic
Study design: Descriptive – Implementation and Use, Technical – ComputationalGenerative AI Literacy: A Comprehensive Framework for Literacy and Responsible Use
Chengzhi Zhang, Brian Magerko. (04/2025). arXiv.
What is the application?
Who is the user? Student, Educator, Others
Which age? Elementary (PK5), Middle School (6-8), High School (9-12), Post-Secondary, Adult
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Durable Skills, Other
Study design: Systematic ReviewEvolution of AI in Education: Agentic Workflows
Firuz Kamalov, David Santandreu Calonge, Linda Smail, Dilshod Azizov, Dimple R. Thadani, Theresa Kwong, Amara Atif. (04/2025). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Teaching – Professional Learning, Learning – Student Support, Organizing, Analyzing
Who is the user? Student, Educator
Which age? Elementary (PK5), Middle School (6-8), High School (9-12), Post-Secondary, Adult
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills, Reimagined Schooling, Other
Study design: Technical – Computational, Systematic ReviewA Platform for Generating Educational Activities to Teach English as a Second Language
Aiala Rosa, Santiago Gongora, Juan Pablo Filevich, Ignacio Sastre, Laura Musto, Brian Carpenter, Luis Chiruzzo. (04/2025). arXiv.
What is the application? Teaching – Instructional Materials, Learning – Student Support
Who is the user? Student, Educator
Which age? Elementary (PK5), Middle School (6-8), High School (9-12)
Why use AI? Outcomes – Other Academic
Study design: Descriptive – Product Development, Technical – ComputationalFostering Self-Directed Growth with Generative AI: Toward a New Learning Analytics Framework
Qianrun Mao. (04/2025). arXiv.
What is the application? Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Student
Which age? Post-Secondary, Adult
Why use AI? Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills, Reimagined Schooling
Study design: Descriptive – Product DevelopmentThe Usage of AI in Teaching and Students' Creativity: The Mediating Role of Learning Engagement and the Moderating Role of AI Literacy
Min Zhou, Song Peng. (04/2025). Behavioral Sciences.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Organizing, Analyzing
Who is the user? Educator
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Differentiation, Outcomes – Social Emotional, Outcomes – Durable Skills
Study design: Quantitative – OthersYoung Children's Anthropomorphism Of An Ai Chatbot: Brain Activation And The Role Of Parent Co-Presence
Kim, Pilyoung. (03/2025). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support, Communicating / Social Tools
Who is the user? Student, Parent/Caregiver, Educator
Which age? Elementary (PK5), Middle School (6-8), High School (9-12)
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills, Other
Study design: Descriptive – Implementation and Use, Quantitative – OthersUse Me Wisely: AI-Driven Assessment for LLM Prompting Skills Development
Dimitri Ognibene, Gregor Donabauer, Emily Theophilou, Cansu Koyuturk, Mona Yavari, Sathya Bursic, Alessia Telari, Alessia Testa, Raffaele Boiano, Davide Taibi, Davinia Hernandez-Leo, Udo Kruschwitz and Martin Ruskov. (03/2025). 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: Technical – ComputationalPAD: Personalized Alignment of LLMS At Decoding-Time
Ruizhe Chen, Xiaotian Zhang, Meng Luo, Wenhao Chai, Zuozhu Liu. (03/2025). arXiv.
What is the application?
Who is the user?
Which age?
Why use AI?
Study design: Technical – ComputationalLLMs as Educational Analysts: Transforming Multimodal Data Traces into Actionable Reading Assessment Reports
Eduardo Davalos, Yike Zhang, Namrata Srivastaval, Jorge Alberto Salas, Sara McFadden, Sun-Joo Cho, Gautam Biswas, Amanda Goodwin. (03/2025). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Educator
Which age? Elementary (PK5)
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Differentiation
Study design: Descriptive – Product Development, Technical – Computational, Quantitative – OthersHow Do Teachers Create Pedagogical Chatbots?: Current Practices and Challenges
Minju Yoo, Hyoungwook Jin, Juho Kim. (03/2025). arXiv.
What is the application? Teaching – Instructional Materials, Analyzing
Who is the user? Educator
Which age? Elementary (PK5), Middle School (6-8), High School (9-12)
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Numeracy, Outcomes – Other Academic, Outcomes – Differentiation
Study design: Descriptive – Implementation and UseHow AI and Human Behaviors Shape Psychosocial Effects of Chatbot Use: A Longitudinal Randomized Controlled Study
Cathy Mengying Fang, Auren R. Liu, Valdemar Danry, Eunhae Lee, Samantha W.T. Chan, Pat Pataranutaporn, Pattie Maes, Jason Phang, Michael Lampe, Lama Ahmad, Sandhini Agarwal. (03/2025). MIT Media Lab.
What is the application? Communicating / Social Tools
Who is the user? Others
Which age? Adult
Why use AI? Outcomes – Social Emotional
Study design: Impact – Randomized Controlled TrialEducator Attention: How computational tools can systematically identify the distribution of a key resource for students
Qingyang Zhang, Rose E. Wang, Ana T. Ribeiro, Dora Demszky, Susanna Loeb. (03/2025). EdWorkingPapers.
What is the application? Analyzing
Who is the user?
Which age? Elementary (PK5)
Why use AI? Outcomes – Literacy, Outcomes – Differentiation
Study design: Technical – Computational, Quantitative – OthersFirst-Person Fairness in Chatbots
Tyna Eloundou, Anna-Luisa Brakman, Alex Beutel, David G. Robinson, Pamela Mishkin, Meghan Shah, Keren Gu-Lemberg, Johannes Heidecke, Lilian Weng, Adam Tauman Kalai. (03/2025). arXiv.
What is the application?
Who is the user?
Which age? Adult
Why use AI?
Study design: Technical – ComputationalAIGCodeSet: A New Annotated Dataset for AI Generated Code Detection
Basak Demirok, Mucahid Kutlu. (03/2025). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Student, Others
Which age? Post-Secondary, Adult
Why use AI? Other
Study design: Technical – ComputationalAI Meets the Classroom: When Do Large Language Models Harm Learning?
Matthias Lehmann, Philipp B. Cornelius, Fabian J. Sting. (03/2025). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Outcomes – Other Academic
Study design: Impact – Randomized Controlled Trial, Impact – Quasi–experimentalEvaluating LLMs for Automated Scoring in Formative Assessments
Pedro C. Mendona, Filipe Quintal, F‡bio Mendona. (03/2025). Applied Sciences.
What is the application? Teaching – Assessment and Feedback
Who is the user? Educator
Which age? Post-Secondary
Why use AI? Efficiency
Study design: Quantitative – Others"Don't Forget the Teachers": Towards an Educator-Centered Understanding of Harms from Large Language Models in Education
Emma Harvey, Allison Koenecke, RenŽ F. Kizilcec. (02/2025). 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, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Descriptive – Implementation and Use, Descriptive – Product DevelopmentVTutor: An Open-Source SDK for Generative AI-Powered Animated Pedagogical Agents with Multi-Media Output
Eason Chen, Chenyu Lin, Xinyi Tang, Aprille Xi, Canwen Wang, Jionghao Lin, Kenneth R. Koedinger. (02/2025). arXiv.
What is the application? Learning – Student Support
Who is the user? Educator, Others
Which age? Post-Secondary, Adult
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation
Study design: Descriptive – Product Development, Technical – ComputationalUnveiling Scoring Processes: Dissecting the Differences between LLMs and Human Graders in Automatic Scoring
Xuansheng Wu, Padmaja Pravin Saraf, Gyeonggeon Lee, Ehsan Latif, Ninghao Liu, Xiaoming Zhai. (02/2025). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Educator
Which age? Middle School (6-8)
Why use AI? Efficiency, Outcomes – Other Academic
Study design: Technical – Computational, Quantitative – OthersUnderstanding Generative AI Risks for Youth: A Taxonomy Based on Empirical Data
Yaman Yu, Yiren Liu, Jacky Zhang, Yun Huang, Yang Wang. (02/2025). arXiv.
What is the application? Learning – Student Support, Communicating / Social Tools
Who is the user? Student, Parent/Caregiver
Which age? Middle School (6-8), High School (9-12), Post-Secondary, Adult
Why use AI? Outcomes – Other Academic, Outcomes – Social Emotional, Outcomes – Durable Skills
Study design: Descriptive – Implementation and UseTowards Adaptive Feedback with AI: Comparing the Feedback Quality of LLMs and Teachers on Experimentation Protocols
Kathrin Sessler, Arne Bewersdorff, Claudia Nerdel, Enkelejda Kasneci. (02/2025). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Educator
Which age? Middle School (6-8)
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation
Study design: Descriptive – Product Development, Technical – Computational, Quantitative – Others
