Quantitative – Others
Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 241 - 270 of 444
WIP: Enhancing Game-Based Learning with AI-Driven Peer Agents
Chengzhang Zhu, Cecile H. Sam, Yanlai Wu, Ying Tang. (08/2025). arXiv. http://arxiv.org/pdf/2508.01169v1
Generative AI Adoption in Postsecondary Education, AI Hype, and ChatGPT's Launch
Isabel Pedersen. (08/2025). arXiv. http://arxiv.org/pdf/2508.01003v1
AI-Educational Development Loop (AI-EDL): A Conceptual Framework to Bridge Al Capabilities with Classical Educational Theories
Ning Yu, Jie Zhang, Sandeep Mitra, Rebecca Smith, Adam Rich. (08/2025). arXiv. http://arxiv.org/pdf/2508.00970v1
Explainable AI and Machine Learning for Exam-based Student Evaluation: Causal and Predictive Analysis of Socio-academic and Economic Factors
Bushra Akter, Md Biplob Hosen, Sabbir Ahmed, Mehrin Anannya, Md. Farhad Hossain. (08/2025). arXiv. http://arxiv.org/pdf/2508.00785v1
Generative AI in Higher Education: Evidence from an Elite College
Zara Contractor, Germ‡n Reyes. (08/2025). arXiv. http://arxiv.org/pdf/2508.00717v1
Teaching at Scale: Leveraging AI to Evaluate and Elevate Engineering Education
J.-F. Chamberland, M. Carlisle, A. Jayaraman, K. R. Narayanan, S. Palsole, K. Watson. (08/2025). arXiv. http://arxiv.org/pdf/2508.02731v1
A ChatGPT-Based Approach For Questions Generation In Higher Education
Sinh Trong Vu, Huong Thu Truong, Oanh Tien Do, Tu Anh Le, Tai Tan Mai. (07/2025). arXiv. http://arxiv.org/pdf/2507.21174v2
AI Literacy as a Key Driver of User Experience in AI-Powered Assessment: Insights from Socratic Mind
Meryem Yilmaz Soylu, Jeonghyun Lee, Jui-Tse Hung, Christopher Zhang Cui, David A. Joyner. (07/2025). arXiv. http://arxiv.org/pdf/2507.21654v1
Decoding Instructional Dialogue: Human-AI Collaborative Analysis of Teacher Use of AI Tool at Scale
Alex Liu, Lief Esbenshade, Shawon Sarkar, Victor Tian, Zachary Zhang, Kevin He, Min Sun. (07/2025). arXiv. http://arxiv.org/pdf/2507.17985v2
Students' Feedback Requests and Interactions with the SCRIPT Chatbot: Do They Get What They Ask For?
Andreas Scholl, Natalie Kiesler. (07/2025). arXiv. http://arxiv.org/pdf/2507.17258v1
Designing for Learning with Generative AI is a Wicked Problem: An Illustrative Longitudinal Qualitative Case Series
Clara Scalzer, Saurav Pokhrel, Sara Hunt, Greg L Nelson. (07/2025). arXiv. http://arxiv.org/pdf/2507.17230v1
EduThink4AI: Translating Educational Critical Thinking into Multi-Agent LLM Systems
Xinmeng Hou, Zhouquan Lu, Wenli Chen, Hai Hu, Qing Guo. (07/2025). arXiv. http://arxiv.org/pdf/2507.15015v1
Partnering with AI: A Pedagogical Feedback System for LLM Integration into Programming Education
Niklas Scholz, Manh Hung Nguyen, Adish Singla, Tomohiro Nagashima. (07/2025). arXiv. http://arxiv.org/pdf/2507.00406v2
Mitigating Trojanized Prompt Chains In Educational Llm Use Cases: Experimental Findings and Detection Tool Design
Richard M. Charles, Ph.D, James H. Curry, Ph.D, Richard B. Charles. (07/2025). arXiv. http://arxiv.org/pdf/2507.14207v1
SimStep: Chain-of-Abstractions for Incremental Specification and Debugging of AI-Generated Interactive Simulations
Zoe Kaputa, Anika Rajaram, Vryan Almanon Feliciano, Zhuoyue Lyu, Maneesh Agrawala, Hari Subramonyam. (07/2025). arXiv. http://arxiv.org/pdf/2507.09664v1
Assessing the Prevalence of AI-assisted Cheating in Programming Courses: A Pilot Study
KalŽu Delphino. (07/2025). arXiv. http://arxiv.org/pdf/2507.06438v1
Understanding The Impacts Of Generative Ai Use On Children
Hashem, Y., Esnaashari, S., Onslow, K., Chakraborty, S., Poletaev, A., Francis, J., Bright, J. (2025).. (07/2025). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5327241
Teacher training in the age of AI: Impact on AI Literacy and Teachers' Attitudes
Julia Lademann, Jannik Henze, Nadine Honke, Caroline Wollny, Sebastian Becker-Genschow. (07/2025). arXiv. http://arxiv.org/pdf/2507.03011v1
The Impact of AI on Educational Assessment: A Framework for Constructive Alignment
Patrick Stokkink. (07/2025). arXiv. http://arxiv.org/pdf/2506.23815v2
Assessing GPTZero's Accuracy in Identifying AI vs. Human-Written Essays
Selin Dik, Osman Erdem, Mehmet Dik. (06/2025). arXiv. http://arxiv.org/pdf/2506.23517v1
Research on Comprehensive Classroom Evaluation System Based on Multiple AI Models
Xie Cong, Yang Li, Wang Daben, Xiao Jing. (06/2025). arXiv. http://arxiv.org/pdf/2506.23079v1
Improving Student-AI Interaction Through Pedagogical Prompting: An Example in Computer Science Education
Ruiwei Xiao, Xinying Hou, Runlong Ye, Majeed Kazemitabaar, Nicholas Diana, Michael Liut, John Stamper. (06/2025). arXiv. http://arxiv.org/pdf/2506.19107v2
Exploring Artificial Intelligence Tutor Teammate Adaptability to Harness Discovery Curiosity and Promote Learning in the Context of Interactive Molecular Dynamics
Mustafa Demir, Jacob Miratsky, Jonathan Nguyen, Chun Kit Chan, Punya Mishra, Abhishek Singharoy. (06/2025). arXiv. http://arxiv.org/pdf/2506.22520v1
Where is AIED Headed? Key Topics and Emerging Frontiers (2020-2024)
Shihui Feng, Huilin Zhang, Dragan Gasevic. (06/2025). arXiv. http://arxiv.org/pdf/2506.20971v1
That's Not the Feedback I Need! - Student Engagement with GenAI Feedback in the Tutor Kai
Sven Jacobs, Maurice Kempf, Natalie Kiesler. (06/2025). arXiv. http://arxiv.org/pdf/2506.20433v2
How trust networks shape students' opinions about the proficiency of artificially intelligent assistants
Yutong Bu, Andrew Melatos, Robin Evans. (06/2025). arXiv. http://arxiv.org/pdf/2506.19655v1
"How can we learn and use Al at the same time?": Participatory Design of GenAl with High School Students
Isabella Pu, Prerna Ravi, Linh Dieu Dinh, Chelsea Joe, Caitlin Ogoe, Zixuan Li, Cynthia Breazeal, Anastasia K. Ostrowski. (06/2025). arXiv. http://arxiv.org/pdf/2506.15525v2
CoachGPT: A Scaffolding-based Academic Writing Assistant
Fumian Chen, Sotheara Veng, Joshua Wilson, Xiaoming Li, Hui Fang. (06/2025). arXiv. http://arxiv.org/pdf/2506.18149v1
A 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. http://arxiv.org/pdf/2506.17363v1
Detecting 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. http://arxiv.org/pdf/2506.17196v1
