Quantitative – Others
Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 181 - 210 of 444
Excited, Skeptical, Or Worried? A Multi-Institutional Study Of Student Views On Generative Ai In Computing Education
Isaac Alpizar-Chacon, Hieke Keuning, Imke de Jong, Ioanna Lykourentzou, Susan Rings. (10/2025). arXiv. http://arxiv.org/abs/2510.03107v1
Enhancing Personalized Multi-Turn Dialogue With Curiosity Reward
Yanming Wan, Jiaxing Wu, Marwa Abdulhai, Lior Shani, Natasha Jaques. (10/2025). arXiv. http://arxiv.org/abs/2504.03206v3
Code2Video: A Code-Centric Paradigm For Educational Video Generation
Yanzhe Chen, Kevin Qinghong Lin, Mike Zheng Shou. (10/2025). arXiv. http://arxiv.org/abs/2510.01174v1
Discovering Self-Regulated Learning Patterns In Chatbot-Powered Education Environment
Yilin Lyu, Ren Ding. (09/2025). arXiv. http://arxiv.org/abs/2510.01275v1
Evaluating undergraduate mathematics examinations in the era of generative AI: a curriculum-level case study
BENJAMIN J. WALKER, NIKOLETA KALAYDZHIEVA, BEATRIZ NAVARRO LAMEDA, RUTH A. REYNOLDS. (09/2025). arXiv. http://arxiv.org/pdf/2509.13359v3
From Frustration to Fun: An Adaptive Problem-Solving Puzzle Game Powered by Genetic Algorithm
Matthew McConnell, Richard Zhao. (09/2025). arXiv. http://arxiv.org/pdf/2509.23796v1
DraftMarks: Enhancing Transparency in Human-AI Co-Writing Through Interactive Skeuomorphic Process Traces
Momin N. Siddiqui, Nikki Nasseri, Adam Coscia, Roy Pea, Hari Subramonyam. (09/2025). arXiv. http://arxiv.org/pdf/2509.23505v1
Leveraging Large Language Models for Robot-Assisted Learning of Morphological Structures in Preschool Children with Language Vulnerabilities
Stina Sundstedt, Mattias Wingren, Susanne Hagglund, Daniel Ventus. (09/2025). arXiv. http://arxiv.org/pdf/2509.22287v1
AI Ethics Education in India: A Syllabus-Level Review of Computing Courses
Anshu M Mittal, PD Parthasarathy, Swaroop Joshi. (09/2025). arXiv. http://arxiv.org/pdf/2509.22329v1
Student Engagement with GenAI's Tutoring Feedback: A Mixed Methods Study
Sven Jacobs, Jan Haas, Natalie Kiesler. (09/2025). arXiv. http://arxiv.org/pdf/2509.22974v1
Enhancing Python Programming Education with an AI-Powered Code Helper: Design, Implementation, and Impact
Sayed Mahbub Hasan Amiri, Md Mainul Islam. (09/2025). arXiv. http://arxiv.org/pdf/2509.20518v1
A Mega-Study Of Digital Twins Reveals Strengths, Weaknesses And Opportunities For Further Improvement
Tiany Peng, George Gui, Daniel J. Merlau, Grace Jiarui Fan, Malek Ben Sliman, Melanie Brucks, Eric J. Johnson, Vicki Morwitz, Abdullah Althenayyan, Silvia Bellezza, Dante Donati, Hortense Fong, Elizabeth Friedman, Ariana Guevara, Mohamed Hussein, Kinshuk Jerath, Bruce Kogut, Kristen Lane, Hannah Li, Patryk Perkowski, Oded Netzer, Olivier Toubia. (09/2025). arXiv. http://arxiv.org/pdf/2509.19088v1
ClassMind: Scaling Classroom Observation and Instructional Feedback with Multimodal AI
Ao Qu, Yuxi Wen, Jiayi Zhang, Yunge Wen, Yibo Zhao, Alok Prakash, Andres Salazar-Gomez, Paul Pu Liang, Jinhua Zhao. (09/2025). arXiv. http://arxiv.org/pdf/2509.18020v1
AI Academy: Building Generative AI Literacy in Higher Ed Instructors
Si Chen, Xiuxiu Tang, Alison Cheng, Nitesh Chawla, G. Alex Ambrose, Ronald Metoyer. (09/2025). arXiv. http://arxiv.org/pdf/2509.11999v2
Generative AI alone may not be enough: Evaluating AI Support for Learning Mathematical Proof
Eason Chen, Sophia Judicke, Kayla Beigh, Xinyi Tang, Zimo Xiao, Chuangji Li, Shizhuo Li, Reed Luttmer, Shreya Singh, Maria Yampolsky, Naman Parikh, Yi Zhao, Meiyi Chen, Scarlett Huang, Anishka Mohanty, Gregory Johnson, John Mackey, Jionghao Lin, Ken Koedinger. (09/2025). arXiv. http://arxiv.org/pdf/2509.16778v1
DeliverC: Teaching Pointers through GenAI-Powered Game-Based Learning
Wyatt Petula, Anushcka Joshi, Peggy Tu, Amrutha Somasundar, Suman Saha. (09/2025). arXiv. http://arxiv.org/pdf/2509.14496v1
Comparative Analysis of STEM and non-STEM Teachers' Needs for Integrating AI into Educational Environments
Bahare Riahi, Veronica Catete. (09/2025). arXiv. http://arxiv.org/pdf/2509.16276v1
AI as a teaching tool and learning partner
S Watterson, S Atkinson, E Murray, A McDowell. (09/2025). arXiv. http://arxiv.org/pdf/2509.13899v1
Gen AI In Proof-Based Math Courses: A Pilot Study
Hannah Klawa, Shraddha Rajpal, Cigole Thomas. (09/2025). arXiv. http://arxiv.org/pdf/2509.13570v1
Exploring Conversational Design Choices in LLMs for Pedagogical Purposes: Socratic and Narrative Approaches for Improving Instructor's Teaching Practice
SI CHEN, ISABEL R. MOLNAR, PEIYU LI, ADAM ACUNIN, TING HUA, ALEX AMBROSE, NITESH V. CHAWLA, RONALD METOYER. (09/2025). arXiv. http://arxiv.org/pdf/2509.12107v1
Prompting the Professoriate: A Qualitative Study of Instructor Perspectives on LLMs in Data Science Education*
Ana Elisa Lopez-Miranda, Tiffany Timbers, Rohan Alexander. (09/2025). arXiv. http://arxiv.org/pdf/2509.12283v1
Emerging Patterns of GenAI Use in K-12 Science and Mathematics Education
Lief Esbenshade, Shawon Sarkar, Drew Nucci, Ann Edwards, Sarah Nielsen, Joshua M. Rosenberg, Alex Liu, Zewei (Victor) Tian, Min Sun, Zachary Zhang, Thomas Han, Yulia Lapicus, Kevin He. (09/2025). arXiv. http://arxiv.org/pdf/2509.10747v1
GenAI Voice Mode in Programming Education
Sven Jacobs, Natalie Kiesler. (09/2025). arXiv. http://arxiv.org/pdf/2509.10596v1
Feedback That Clicks: Introductory Physics Students' Valued Features in AI Feedback Generated From Self-Crafted and Engineered Prompts
Amogh Sirnoorkar, N. Sanjay Rebello. (09/2025). arXiv. http://arxiv.org/pdf/2509.08516v1
Instructional Agents: LLM Agents on Automated Course Material Generation for Teaching Faculties
Huaiyuan Yao, Wanpeng Xu, Justin Turnau, Nadia Kellam, Hua Wei. (08/2025). arXiv. http://arxiv.org/pdf/2508.19611v1
Do Students Rely on AI? Analysis of Student-ChatGPT Conversations from a Field Study
Jiayu Zheng, Lingxin Hao, Kelun Lu, Ashi Garg, Mike Reese, Melo-Jean Yap, I-Jeng Wang, Xingyun Wu, Wenrui Huang, Jenna Hoffman, Ariane Kelly, My Le, Ryan Zhang, Yanyu Lin, Muhammad Faayez, Anqi Liu. (08/2025). arXiv. http://arxiv.org/pdf/2508.20244v1
MathBuddy: A Multimodal System for Affective Math Tutoring
Debanjana Kar, Leopold B¬öss, Dacia Braca, Sebastian Maximilian Dennerlein, Nina Christine Hubig, Philipp Wintersberger, Yufang Hou. (08/2025). arXiv. http://arxiv.org/pdf/2508.19993v1
GOLDMIND: A Teacher-Centered Knowledge Management System For Higher Education AI Lessons From Iterative Design
Gloria Fern‡ndez-Nieto, Lele Sha, Yuheng Li, Yi-Shan Tsai, Guanliang Chen, Yinwei Wei, Weiqing Wang, Jinchun Wen, Shaveen Singh, Ivan Silva, Yuanfang Li, Dragan Ga_evic, Zachari Swiecki. (08/2025). arXiv. http://arxiv.org/pdf/2508.04377v2
Exploring AI-Enabled Test Practice, Affect, and Test Outcomes in Language Assessment
Jill Burstein, Ramsey Cardwell, Ping-Lin Chuang, Allison Michalowski, Steven Nydick. (08/2025). arXiv. http://arxiv.org/pdf/2508.17108v1
FACET: Teacher-Centred LLM-Based Multi-Agent Systems- Towards Personalized Educational Worksheets
Jana Gonnermann-Muller, Jennifer Haase, Konstantin Fackeldey, Sebastian Pokutta. (08/2025). arXiv. http://arxiv.org/pdf/2508.11401v2
