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Studies tagged with AI from their full text or abstract; see each study for details.

Showing 1 - 30 of 230 studies

Experimental Evidence on the Learning Impact of Generative AI

Zara Contractor, German Reyes. (10/2026). arXiv. https://arxiv.org/abs/2607.08849
When Evaluators Cry Wolf: Lessons From Production LLM-As-Judge Evaluation In Educational AI

Chris Rohlfs, Rodrigo Vergara Bosse, Priscilla Rain Hopper, Keanon O'Keefe, Patrick Russell. (09/2026). arXiv. https://arxiv.org/abs/2609.28478v2
Critical Thinking With Generative AI: A Constraint-First Design Pilot Of A Thinking-Partner Intervention

Fatima Tuz Zahra, Jiangen He, David Matthew Bowers, Wei Wang. (09/2026). arXiv. https://arxiv.org/abs/2609.38029v1
Argus: Academic Integrity In The Era Of Generative AI

David Racovan, Ajay Rawat, Christopher K. May, Jeffrey A. Turkstra. (09/2026). arXiv. https://arxiv.org/abs/2609.36073v1
"Code Is Cheap. Show Me The Talk.": Lessons From Teaching And Managing AI Coding Tool Usage In A Visualization Course

Zhongzheng Xu, Taehyun Yang, Fumeng Yang. (09/2026). arXiv. https://arxiv.org/abs/2607.09938v2
LLM-As-A-Judge Validity Is Strongly Task-Dependent Across Physics Assessment Formats

Will Yeadon, Tom Hardy, Paul Mackay, and Elise Agra. (09/2026). arXiv. https://arxiv.org/abs/2603.14732v3
A Benchmark For LLM'S Understanding Of Middle School And High School Science Topics

Noah L. Schroeder, Yessy Eka Ambarwati, Yuji Zhang, ChengXiang Zhai. (09/2026). arXiv. https://arxiv.org/abs/2609.32020v1
Studentbench: AI And Human Tutoring Yield Equivalent Gre Learning Gains

Curtis Northcutt, Inaara Hasmani, Kevin Feng, Trevor Khangi, Andreas Plesner, Jonas Mueller. (09/2026). arXiv. https://arxiv.org/abs/2609.28470?utm_source=chatgpt.com
When AI Tutors Speak: Evidence From A Randomized Field Experiment

Shihao Yang, Marshall Van Alstyne, Chrysanthos Dellarocas. (09/2026). arXiv. https://arxiv.org/abs/2609.23958v1
A Workshop Series For Effective Use Of AI In Uncertain Times: Building A Physics Faculty Learning Community

David Perl-Nussbaum, Noah D. Finkelstein. (09/2026). arXiv. https://arxiv.org/abs/2609.23887v1
Biased AI Improves Human Performance But Reduces Perceived Helpfulness

Shiyang Lai, Jiwoong Choi, Junsol Kim, Nadav Kunievsky, Yujin Potter, James Evans. (09/2026). arXiv. https://arxiv.org/abs/2508.09297v4
Tinker Tales: A Tangible Dialogue System For Child-AI Co-Creative Storytelling

Nayoung Choi, Jiseung Hong, Peace Cyebukayire, Ikseon Choi, Jinho D. Choi. (09/2026). arXiv. https://arxiv.org/abs/2602.04109v3
Flawed But Memorable: Student Critical Reception Of Interest-Personalized Genai Analogies In Computing Education

Seth Bernstein, Naaz Sibia. (09/2026). arXiv. https://arxiv.org/abs/2609.06095v1
AI In Particle Physics Education: Research Problems And Foundational Skills

M. Mikhasenko, M. Stahl, I. Segal, Dhruvanshu Parmar, A. Zimmer, A. Kazatsky. (09/2026). arXiv. https://arxiv.org/abs/2609.05719v1
Who Should Grade My Work? Student Perspectives On Transparent AI-Assisted Writing Assessment In Higher Education

Rayed AlGhamdi. (09/2026). arXiv. https://arxiv.org/abs/2609.05346v1
Statistical Theory In The Age Of Machine-Assisted Mathematics: Rethinking How Theory Is Made And Taught

Pietro Coretto. (09/2026). arXiv. https://arxiv.org/abs/2609.04481v1
Practical Implementation Report On Introducing Spec-Driven Development Using AI Agents In Software Development Pbl

Hidetake Tanaka, Hiroshi Igaki, Kazumasa Shimari, Kiyoshi Honda, Naoki Fukuyasu. (08/2026). arXiv. https://arxiv.org/abs/2608.30572v1
Uniform And Accelerated Circular Motion With A Smartphone: A No-Code, AI-Generated Browser Laboratory

Josep Ll. Suner, Francisco Misael Muñoz Pérez, Juan C. Castro-Palacio, Juan Antonio Monsoriu, Martin Monteiro, Cecilia Stari, Arturo C. Marti. (08/2026). arXiv. https://arxiv.org/abs/2607.28352v2
Who Will Become The Next Senior? How Generative AI Erodes The Development Pathway In Software Engineering

Sumin Yu, Taesup Moon. (08/2026). arXiv. https://arxiv.org/abs/2607.17067v3
Evaluation In The Age Of AI: Output As Evidence Of Learning

Md Zarzees Uddin Shah Chowdhury, Samin Rahman Khan. (08/2026). arXiv. https://arxiv.org/abs/2608.22660v1
Learnai: Just-In-Time AI Co-Creation Across Disciplines At A University

Weihao Qu, Ling Zheng, Chris Buzaid, Daniel Crawford. (08/2026). arXiv. https://arxiv.org/abs/2608.19164v1
Revisiting The Performance Of Generative Artificial Intelligence On Introductory Object-Oriented Programming Assessments: Insights From 2026

Marina Lepp, Joosep Kaimre. (08/2026). arXiv. https://arxiv.org/abs/2608.16318v1
Mitigating AI Risks In Computing Education Via LLM-Driven Lecture Video Curation

Owen Tang, Alexandra Vassar, Jake Renzella. (08/2026). arXiv. https://arxiv.org/abs/2608.16131v1
Do Assessment Instruments Measure The Same Thing For Humans And LLMs? A Latent Structure Analysis

Alona Strugatski, Licol Zeinfeld, Giora Alexandron. (08/2026). arXiv. https://arxiv.org/abs/2608.15630v1
Culturally-Aware AI For Cross-Boundary Community Learning: Undergraduate Innovation At The Intersection Of Computation And Design

Jiaojiao Zhao, Weisheng Zhang, Jiawen Cai, Haibin Gao, Luyao Zhang. (08/2026). arXiv. https://arxiv.org/abs/2606.09041v2
Mapping The Emerging Curriculum For AI-Assisted Software Engineering Via Syllabus Analysis

Francis Geng, Anshul Shah, Mia Chen, Paul Denny, Juho Leinonen, Bill Griswold, Gerald Soosai Raj, Leo Porter. (08/2026). arXiv. https://arxiv.org/abs/2608.05898v1
A Multi-Agent AI Classroom Based On Dual-Process Reasoning Hazards: A Pilot With Prospective Physics Teachers

Eugenio Tufino. (08/2026). arXiv. https://arxiv.org/abs/2608.05820v1
Does Generative AI Narrow Education-Based Productivity Gaps? Evidence From A Randomized Experiment

Guillermo Cruces, Diego Fernandez Meijide, Sebastian Galiani, Ramiro Galvez, Maria Lombardi. (08/2026). arXiv. https://arxiv.org/abs/2608.04198v1
Rethinking Generative AI Literacy: An Integrative, Developmental, And Dialectical Framework For K-12 Teacher Education

Shahin Hossain, Sima Ahmadi, Leqi Li, Idowu David Awoyemi, Wei Huang, Chenxi Zhou, Jujia Li, Samaa Haniya, Shapla Khanam, Tasbirun Mashreka Subaha. (08/2026). arXiv. https://arxiv.org/abs/2608.01705v1
Agreement Is Not Quality: Blind Expert Verification Of Human And LLM Qualitative Coding When Human Consensus Is Not Ground Truth

Alex Liu, Lief Esbenshade, Michael Xiao, Victor Tian, Zachary Zhang, Kevin He, Min Sun. (07/2026). arXiv. https://arxiv.org/abs/2607.28890v1