Research Study Repository
Research synthesis is AI-generated, human reviewed. Updated 04/2026.
Showing 991 - 1020 of 1278 results
An Eye for an AI: Evaluating GPT-4o's Visual Perception Skills and Geometric Reasoning Skills Using Computer Graphics Questions
Tony Haoran Feng, Paul Denny, Burkhard C. WŸnsche, Andrew Luxton-Reilly, Jacqueline Whalley. (10/2024). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Educator
Which age? Post-Secondary
Why use AI? Outcomes – Other Academic
Study design: Technical – ComputationalA Systematic Assessment of OpenAI o1-Preview for Higher Order Thinking in Education
Ehsan Latif, Yifan Zhou, Shuchen Guo, Yizhu Gao, Lehong Shi, Matthew Nyaaba, Gyeonggeon Lee, Liang Zhang, Arne Bewersdorff, Luyang Fang, Xiantong Yang, Huaqin Zhao, Hanqi Jiang, Haoran Lu, Jiaxi Li, Jichao Yu, Xuansheng Wu, Weihang You, Zhengliang Liu, Vincent Shung Liu, Hui Wang, Zihao Wu, Jin Lu, Fei Dou, Ping Ma, Ninghao Liu, Tianming Liu, Xiaoming Zhai. (10/2024). arXiv.
What is the application? Analyzing
Who is the user?
Which age? Middle School (6-8), High School (9-12), Post-Secondary, Adult
Why use AI? Outcomes – Durable Skills, Reimagined Schooling
Study design: Technical – Computational, Quantitative – OthersUsing Large Multimodal Models to Extract Knowledge Components for Knowledge Tracing from Multimedia Question Information
Hyeongdon Moon, Richard Davis, Seyed Parsa Neshaei, Pierre Dillenbourg. (09/2024). arXiv.
What is the application? Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Others
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation, Other
Study design: Technical – Computational, Quantitative – OthersUsing Generative Artificial Intelligence Creatively in the Classroom: Examples and Lessons Learned
Maria J. Molina, Amy McGovern, Jhayron S. Perez-Carrasquilla, Robin L. Tanamachi. (09/2024). arXiv.
What is the application? Teaching – Instructional Materials, Learning – Student Support
Who is the user? Student, Educator
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Durable Skills
Study design: Descriptive – Implementation and UseTaking the Next Step with Generative Artificial Intelligence: The Transformative Role of Multimodal Large Language Models in Science Education
Arne Bewersdorff, Christian Hartmann, Marie Hornberger, Kathrin Sessler, Maria Bannert, Enkelejda Kasneci, Gjergji Kasneci, Xiaoming Zhai, Claudia Nerdel. (09/2024). 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), Post-Secondary, Adult
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills, Reimagined Schooling
Study design: Descriptive – Implementation and UseMentigo: An Intelligent Agent for Mentoring Students in the Creative Problem Solving Process
Siyu Zha, Yujia Liu, Chengbo Zheng, Jiaqi XU, Fuze Yu, Jiangtao Gong, Yingqing XU. (09/2024). arXiv.
What is the application? Learning – Student Support, Communicating / Social Tools
Who is the user? Student
Which age? Middle School (6-8)
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Social Emotional, Outcomes – Durable Skills
Study design: Descriptive – Product Development, Impact – Randomized Controlled Trial, Quantitative – OthersLLaVA-docent: Instruction tuning with multimodal large language model to support art appreciation education‚ú©
Unggi Lee, Minji Jeon, Yunseo Lee, Gyuri Byun, Yoorim Son, Jaeyoon Shin, Hongkyu Ko, Hyeoncheol Kim. (09/2024). 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)
Why use AI? Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Descriptive – Product Development, Technical – ComputationalLearning to Love Edge Cases in Formative Math Assessment: Using the AMMORE Dataset and Chain-of-Thought Prompting to Improve Grading Accuracy
Owen Henkel, Hannah Horne-Robinson, Maria Dyshel, Nabil Ch, Baptiste Moreau-Pernet, Ralph Abood. (09/2024). 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? Efficiency, Outcomes – Numeracy, Outcomes – Differentiation
Study design: Technical – ComputationalHow to Align Large Language Models for Teaching English? Designing and Developing LLM based-Chatbot for Teaching English Conversation in EFL, Findings and Limitations
Jaekwon Park, Jiyoung Bae, Unggi Lee, Taekyung Ahn, Sookbun Lee, Dohee Kim, Aram Choi, Yeil Jeong, Jewoong Moon, Hyeoncheol Kim. (09/2024). 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 – Other Academic, Outcomes – Differentiation
Study design: Descriptive – Product Development, Technical – Computational, Quantitative – OthersComputational Language Analysis Reveals that Process-Oriented Thinking About Belonging Aids the College Transition
Dorottya Demszky, C. Lee Williams, Shannon T. Brady, Shashanka Subrahmanya, Eric Gaudiello, Gregory M. Walton, Johannes C. Eichstaedt. (09/2024). EdWorkingPapers.
What is the application? Analyzing
Who is the user?
Which age? Post-Secondary
Why use AI? Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Social Emotional
Study design: Impact – Randomized Controlled Trial, Technical – ComputationalBio-Eng-LMM AI Assist chatbot: A Comprehensive Tool for Research and Education
Ali Forootani, Danial Esmaeili Aliabadi, Daniela Thraen. (09/2024). arXiv.
What is the application? Teaching – Instructional Materials, Learning – Student Support, Analyzing
Who is the user? Student, Educator
Which age? Post-Secondary, Adult
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills, Other
Study design: Descriptive – Product Development, Technical – ComputationalAre Large Language Models Good Essay Graders?
Kundu, Anindita, Barbosa, Denilson. (09/2024). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Others
Which age? Middle School (6-8), High School (9-12)
Why use AI? Efficiency
Study design: Technical – ComputationalAn empirical study to understand how students use ChatGPT for writing essays and how it affects their ownership
Andrew Jelson, Sang Won Lee. (09/2024). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Outcomes – Literacy
Study design: Descriptive – Implementation and Use, Quantitative – Others"My Grade is Wrong!": A Contestable AI Framework for Interactive Feedback in Evaluating Student Essays
Shengxin Hong, Chang Cai, Sixuan Du, Haiyue Feng, Siyuan Liu, Xiuyi Fan. (09/2024). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Student
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Durable Skills
Study design: Descriptive – Product Development, Technical – Computational, Quantitative – OthersStuGPTViz: A Visual Analytics Approach to Understand Student-ChatGPT Interactions
Zixin Chen, Jiachen Wang, Meng Xia, Kento Shigyo, Dingdong Liu, Rong Zhang, Huamin Qu. (09/2024). arXiv.
What is the application? Teaching – Assessment and Feedback, Learning – Student Support, Analyzing
Who is the user? Student, Educator
Which age? Post-Secondary
Why use AI? Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Descriptive – Product Development, Quantitative – OthersQualitative and quantitative analysis of student's perceptions in the use of generative AI in educational environments
Sergio Altares-Lopez, Jose M. Bengochea-Guevara, Carlos Ranz, Hector Montes, Angela Ribeiro. (09/2024). 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 – Differentiation, Outcomes – Durable Skills
Study design: Descriptive – Implementation and Use, Quantitative – OthersBoilerTAI: A Platform for Enhancing Instruction Using Generative AI in Educational Forums
Anvit Sinha, Shruti Goyal, Zachary Sy, Rhianna Kuperus, Ethan Dickey, Andres Bejarano. (09/2024). arXiv.
What is the application? Learning – Student Support
Who is the user? Educator
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Descriptive – Product Development, Quantitative – OthersAI Governance in Higher Education: Case Studies of Guidance at Big Ten Universities
Chuhao Wu, He Zhang, John M. Carroll. (09/2024). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support, Organizing, Analyzing
Who is the user? Student, Educator, Others
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Differentiation, Outcomes – Durable Skills, Other
Study design: Descriptive – Implementation and UseA Comprehensive Review on Generative AI for Education
Uday Mittal, Siva Sai, Vinay Chamola, Devika Sangwan. (09/2024). IEEE.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Teaching – Professional Learning, Learning – Student Support, Communicating / Social Tools, Organizing, Analyzing
Who is the user? Student, Parent/Caregiver, Educator
Which age? 0-3 years, Elementary (PK5), Middle School (6-8), High School (9-12), Post-Secondary, Adult
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Numeracy, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills, Reimagined Schooling
Study design: Systematic ReviewGPT-4 as a Homework Tutor can Improve Student Engagement and Learning Outcomes
Alessandro Vanzo, Sankalan Pal Chowdhury, Mrinmaya Sachan. (09/2024). 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 – Social Emotional
Study design: Impact – Randomized Controlled TrialTrust and ethical considerations in a multi-modal, explainable AI-driven chatbot tutoring system: The case of collaboratively solving Rubik's Cube
Kausik Lakkaraju, Vedant Khandelwal, Biplav Srivastava, Forest Agostinelli, Hengtao Tang, Prathamjeet Singh, Dezhi Wu, Matt Irvin, Ashish Kundu. (08/2024). 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: Descriptive – Product Development, Technical – ComputationalThe Psychological Impacts of Algorithmic and AI-Driven Social Media on Teenagers: A Call to Action
Sunil Arora, Sahil Arora, John D. Hastings. (08/2024). arXiv.
What is the application?
Who is the user? Student
Which age? Middle School (6-8), High School (9-12)
Why use AI?
Study design: Descriptive – Implementation and UseStudents' Perceived Roles, Opportunities, and Challenges of a Generative AI-powered Teachable Agent: A Case of Middle School Math Class
Yukyeong Song, Jinhee Kim, Zifeng Liu, Chenglu Li, Wanli Xing. (08/2024). arXiv.
What is the application? Learning – Student Support, Communicating / Social Tools
Who is the user? Student
Which age? Middle School (6-8)
Why use AI? Outcomes – Numeracy, Outcomes – Differentiation, Outcomes – Social Emotional, Outcomes – Durable Skills, Reimagined Schooling
Study design: Descriptive – Implementation and Use, Descriptive – Product DevelopmentNew Curriculum, New Chance - Retrieval Augmented Generation for Lesson Planning in Ugandan Secondary Schools. Prototype Quality Evaluation.
Simon Kloker, Herbertson Bukoli, Twaha Kateete. (08/2024). arXiv.
What is the application? Teaching – Instructional Materials
Who is the user? Educator
Which age? High School (9-12)
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation
Study design: Descriptive – Product Development, Technical – ComputationalImpact of Guidance and Interaction Strategies for LLM Use on Learner Performance and Perception
Harsh Kumar, Ilya Musabirov, Mohi Reza, Jiakai Shi, Xinyuan Wang, Joseph Jay Williams, Anastasia Kuzminykh, Michael Liut. (08/2024). arXiv.
What is the application? Learning – Student Support
Who is the user? Student, Others
Which age? Post-Secondary, Adult
Why use AI? Efficiency, Outcomes – Numeracy, Outcomes – Other Academic, Outcomes – Durable Skills
Study design: Impact – Randomized Controlled TrialGenerative Language Models With Retrieval Augmented Generation for Automated Short Answer Scoring
Zifan Wang, Christopher Ormerod. (08/2024). 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 – ComputationalFacilitating Holistic Evaluations with LLMs Insights from Scenario-Based Experiments
Toru Ishida, Tongxi Liu, Hailong Wang & William K. Cheung. (08/2024). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Educator
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Descriptive – Implementation and UseDr.Academy: A Benchmark for Evaluating Questioning Capability in Education for Large Language Models
Yuyan Chen, Chenwei Wu, Songzhou Yan, Panjun Liu, Haoyu Zhou, Yanghua Xiao. (08/2024). arXiv.
What is the application? Teaching – Instructional Materials
Who is the user?
Which age? Elementary (PK5), Middle School (6-8), High School (9-12), Post-Secondary, Adult
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation
Study design: Technical – ComputationalAutomating Human Tutor-Style Programming Feedback: Leveraging GPT-4 Tutor Model for Hint Generation and GPT-3.5 Student Model for Hint Validation
Tung Phung, Victor-Alexandru Padurean, Anjali Singh, Christopher Brooks, Jose Cambronero, Sumit Gulwani, Adish Singla, Gustavo Soares. (08/2024). arXiv.
What is the application? Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Technical – ComputationalThe Feedback Prize: A Case Study in Assisted Writing Feedback Tools
Perpetual Baffour, Scott Crossley, Yu Tian, Alex Franklin, Natalie Rambis, Meg Benner, Ulrich Boser. (08/2024). The Learning Agency Lab.
What is the application? Teaching – Assessment and Feedback
Who is the user? Student, Educator
Which age? Middle School (6-8), High School (9-12)
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Differentiation, Reimagined Schooling
Study design: Descriptive – Implementation and Use, Descriptive – Product Development, Technical – Computational
