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Quantitative – Others
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 211 - 240 of 554
Large Language Models For Education And Research: An Empirical And User Survey-Based Analysis
Md Mostafizer Rahman, Ariful Islam Shiplu, Md Faizul Ibne Amin, Yutaka Watanobe, Lu Peng. (12/2025). arXiv. https://arxiv.org/abs/2512.08057v1
Learning To Use AI For Learning: Teaching Responsible Use Of AI Chatbot To K-12 Students Through An AI Literacy Module
Ruiwei Xiao, Xinying Hou, Ying-Jui Tseng, Hsuan Nieu, Guanze Liao, John Stamper, Kenneth R. Koedinger. (12/2025). arXiv. https://arxiv.org/abs/2508.13962v2
Exploring Teenagers' Trust In Al Chatbots: An Empirical Study Of Chinese Middle-School Students
Siyu Qiu, Anqi Lin, Shiya Wang, Xingyu Lan. (12/2025). arXiv. https://arxiv.org/abs/2512.06647v1
Reflection-Satisfaction Tradeoff: Investigating Impact Of Reflection On Student Engagement With Ai-Generated Programming Hints
Heeryung Choia, Tung Phungb, Mengyan Wuª, Adish Singlab, Christopher Brooksa. (12/2025). arXiv. https://arxiv.org/abs/2512.04630v1
Objective Measurement Of AI Literacy: Development And Validation Of The Ai Competency Objective Scale (AIcos)
André Markusa, Astrid Carolusb, Carolin Wienricha. (12/2025). arXiv. https://arxiv.org/abs/2503.12921v2
GoldMind: A Teacher-Centered Knowledge Management System for Higher Education - Lessons from Iterative Design
Gloria Fernadez-Nieto, Lele Sha, Yuheng Li, Yi-Shan Tsai, Guanliang Chen, Yinwei Wei, Weiqing Wang, Jinchun Wen, Shaveen Singh, Ivan Silva, Yuanfang Li, Dragan Gasevic, Zachari Swiecki. (12/2025). arXiv. https://arxiv.org/abs/2508.04377v3
On The Role And Impact Of Genai Tools In Software Engineering Education
Qiaolin Qin, Ronnie de Souza Santos, Rodrigo Spinola. (12/2025). arXiv. https://arxiv.org/abs/2512.04256v1
"Can You Feel The Vibes?": An Exploration Of Novice Programmer Engagement With Vibe Coding
Kiev Gama, Alexander Nolte, Filipe Calegario, Luiz Augusto Morais, Victoria Jackson, Vinicius Garcia. (12/2025). arXiv. https://arxiv.org/abs/2512.02750v1
Feed-O-Meter: Investigating Ai-Generated Mentee Personas As Interactive Agents For Scaffolding Design Feedback Practice
Hyunseung Lim, Dasom Choi, DaEun Choi, Sooyohn Nam, Hwajung Hong. (12/2025). arXiv. https://arxiv.org/abs/2509.07424
Advisingwise: Supporting Academic Advising In Higher Education Settings Through A Human-In-The-Loop Multi-Agent Framework
Wendan Jiang, Shiyuan Wang, Hiba Eltigani, Rukhshan Haroon, Abdullah Bin Faisal, Fahad Dogar. (12/2025). arXiv. https://arxiv.org/abs/2511.05706v2
Towards Responsible Development Of Generative AI For Education: An Evaluation-Driven Approach
Irina Jurenka, Markus Kunesch, Kevin R. McKee, Daniel Gillick, Shaojian Zhu, Sara Wiltberger, Shubham Milind Phal, Katherine Hermann, Daniel Kasenberg, Avishkar Bhoopchand, Ankit Anand, Miruna Pîslar, Stephanie Chan, Lisa Wang, Jennifer She, Parsa Mahmoudieh, Aliya Rysbek, Wei-Jen Ko, Andrea Huber, Brett Wiltshire, Gal Elidan, Roni Rabin, Jasmin Rubinovitz, Amit Pitaru, Mac McAllister, Julia Wilkowski, David Choi, Roee Engelberg, Lidan Hackmon, Adva Levin, Rachel Griffin, Michael Sears, Filip Bar, Mia Mesar, Mana Jabbour, Arslan Chaudhry, James Cohan, Sridhar Thiagarajan, Nir Levine, Ben Brown, Dilan Gorur, Svetlana Grant, Rachel Hashimshoni, Laura Weidinger, Jieru Hu, Dawn Chen, Kuba Dolecki, Canfer Akbulut, Maxwell Bileschi, Laura Culp, Wen-Xin Dong, Nahema Marchal, Kelsie Van Deman, Hema Bajaj Misra, Michael Duah, Moran Ambar, Avi Caciularu, Sandra Lefdal, Chris Summerfield, James An, Pierre-Alexandre Kamienny, Abhinit Mohdi, Theofilos Strinopoulous, Annie Hale, Wayne Anderson, Luis C. Cobo, Niv Efron, Muktha Ananda, Shakir Mohamed, Maureen Heymans, Zoubin Ghahramani, Yossi Matias, Ben Gomes, Lila Ibrahim. (12/2025). arXiv. https://arxiv.org/abs/2407.12687v4
Artificial Intelligence Competence Of K-12 Students Shapes Their Ai Risk Perception: A Co-Occurrence Network Analysis
Ville Heilala, Pieta Sikstrom, Mika Setala, Tommi Karkkainen. (12/2025). arXiv. https://arxiv.org/abs/2512.04115v1
Homogenizing effect of large language models (LLMs) on creative diversity: An empirical comparison of human and ChatGPT writing
Kibum Moon, Adam E. Green, Kostadin Kushlev. (12/2025). Computers in Human Behavior: Artifical Humans. https://www.sciencedirect.com/science/article/pii/S294988212500091X
Ai-Enabled Grading With Near-Domain Data For Scaling Feedback With Human-Level Accuracy
Shyam Agarwall, Ali Moghimi, Kevin C. Haudek. (12/2025). arXiv. https://arxiv.org/abs/2512.04113v1
Supporting Productivity Skill Development In College Students Through Social Robot Coaching: A Proof-Of-Concept
Himanshi Lalwani, Hanan Salam. (11/2025). arXiv. https://arxiv.org/abs/2512.01105v1
Pacee: Supporting Children'S Personal Emotion Education Through Parent-Ai Collaboration
Yu Mei, Xutong Wang, Ziyao Zhang, Yiming Fu, Shiyi Wang, Qingyang Wan, Qinghuan Lan, Chang Liu, Jie Cai, Chun Yu, Yuanchun Shi. (11/2025). arXiv. https://arxiv.org/abs/2511.14414v2
Training For Obsolescence? The Ai-Driven Education Trap
Andrew J. Peterson. (11/2025). arXiv. https://arxiv.org/abs/2508.19625v2
Scaling Equitable Reflection Assessment In Education Via Large Language Models And Role-Based Feedback Agents
Chenyu Zhang, Xiaohang Luo. (11/2025). arXiv. https://arxiv.org/abs/2511.11772v2
Human Experts' Evaluation Of Generative Ai For Contextualizing Steam Education In The Global South
Matthew Nyaaba, Macharious Nabang, Patrick Kyeremeh, Ibrahim Nantomah, Collins Owusu-Fordjour, Martin Ako, Bismark Nyaaba Akanzire, Kassim Korah Nantomah, Cecilia Issaka, Xiaoming Zhai. (11/2025). arXiv. https://arxiv.org/abs/2511.19482v3
Cllmrec: Llm-Powered Cognitive-Aware Concept Recommendation Via Semantic Alignment And Prerequisite Knowledge Distillation
Xiangrui Xiong, Yichuan Lu, Zifei Pan, Chang Sun. (11/2025). arXiv. https://arxiv.org/abs/2511.17041v2
Supporting Students In Navigating Llm-Generated Insecure Code
Jaehwan Park, Kyungchan Lim, Seonhye Park, Doowon Kim. (11/2025). arXiv. https://arxiv.org/abs/2511.20878v1
Generative Ai As A Learning Buddy And A Teaching Assistant: Preservice Teachers' Use And Attitudes
Matthew Nyaaba, Lehong Shi, Macharious Nabang Patrick Kyeremeh, Xiaoming Zhai, Samuel Arthur Ayoberd, Bismark Nyaaba Akanzire. (11/2025). arXiv. https://arxiv.org/abs/2407.11983v2
Generative Ai And Power Imbalances In Global Education: Frameworks For Bias Mitigation
Matthew Nyaaba, Alyson Wright, Gyu Lim Choi. (11/2025). arXiv. https://arxiv.org/abs/2406.02966v4
Writing With Machines And Peers: Designing For Critical Engagement With Generative Ai
Xinran Zhu, Cong Wang, Duane Searsmith. (11/2025). arXiv. https://arxiv.org/abs/2511.15750v1
Enabling Blind And Visually Impaired Individuals To Pursue Careers In Science
L. Petitdemange and S. Nashed. (11/2025). arXiv. https://arxiv.org/abs/2511.17620v1
Nlp Methods May Actually Be Better Than Professors At Estimating Question Difficulty
Leonidas Zotos, Ivo Pascal de Jong, Matias Valdenegro-Toro, Andreea Ioana Sburlea, Malvina Nissim and Hedderik van Rijn. (11/2025). arXiv. https://arxiv.org/abs/2508.03294v2
Educators On The Frontline: Philosophical And Realistic Perspectives On Integrating Chatgpt Into The Learning Space
Surajit Das, Peu Majumder, Aleksei Eliseev. (11/2025). arXiv. https://arxiv.org/abs/2511.11960v1
Beyond The Hype: Critical Analysis Of Student Motivations And Ethical Boundaries In Educational Ai Use In Higher Education
Adeleh Mazaheriyan, Erfan Nourbakhsh. (11/2025). arXiv. https://arxiv.org/abs/2511.11369v1

