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Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 1 - 30 of 200
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
How University Disability Services Professionals Write Image Descriptions For Hci Figures Using Generative AI
Muhammad Raees, Yugo Iwamoto, Konstantinos Papangelis, Jamison Heard, Garreth W. Tigwell. (09/2026). arXiv. https://arxiv.org/abs/2602.08937v2
AI-Based Scoring Systematically Underestimates Conceptual Understanding Of Linguistically Weak Students' Explanations In Physics
Markus S. Feser, Paul L. Tschisgale. (09/2026). arXiv. https://arxiv.org/abs/2607.28210v2
LLM-As-A-Judge Validity Is Strongly Task-Dependent Across Physics Assessment Formats
Will Yeadon, Tom Hardy, Paul Mackay, 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
Characterizing LLM-Based Family Education Through The Lens Of Activity Theory: A Scoping Review Of The Hci Literature
Lan Luo, Yuqi Liang, Jie Cai, Anqi Wang, Dongyijie Primo Pan, Muzhi Zhou, Chun Yu, Pan Hui. (09/2026). arXiv. https://arxiv.org/abs/2609.28886v1
Evaluation Of Pre-Trained Models For Pedagogical Assessment Of Novel AI-Assisted Educational Questions
Michael Lawrence Castanares, Princess Ventures, Allan Tan. (09/2026). arXiv. https://arxiv.org/abs/2609.27749v1
"We'Ll Fix It Later": Education, AI, And The Deferral Of Privacy In EdTech
Meghna Manoj Nair, Rachel Greenstadt. (09/2026). arXiv. https://arxiv.org/abs/2609.28137v1
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
AI-Written Admissions Essays Are Widespread But Penalized
Calvin Isley, Johann D. Gaebler, Sharad Goel. (09/2026). arXiv. https://arxiv.org/abs/2609.22549v1
Human Resilience In The AI Era -- What Machines Can'T Replace
Shaoshan Liu, Anina Schwarzenbach, Yiyu Shi. (09/2026). arXiv. https://arxiv.org/abs/2510.25218v2
Finding Common Mistakes In Modelling With Mathematical Formalisms Using LLMs
Lilian Killich, Marko Schmellenkamp, Fabian Vehlken, Thomas Zeume. (09/2026). arXiv. https://arxiv.org/abs/2609.17111v1
Limits Of LLM Text Detectors In Education
Lukas Gehring, Benjamin PaaBen. (09/2026). arXiv. https://arxiv.org/abs/2508.08096v2
Artificial Intelligence Literacy And Sustainable Development: An Ethical Governance And Development Goals Framework
Md. Masudul Islam, Mirza Niaz Morshed, Md. Shafiqul Islam. (09/2026). arXiv. https://arxiv.org/abs/2609.10489v1
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
The AI Adaptation Gap In Higher Education: Students, Faculty, And Administrative Staff
Yuriy S. Braun, Salavat M. Khafizov. (08/2026). arXiv. https://arxiv.org/abs/2608.25063v1
ChatGPT Solves All Tested Qiskit Homework Assignments
Alexei Kaltchenko, Gurnivaj Tiwana. (08/2026). arXiv. https://arxiv.org/abs/2608.19707v1
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
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
Probing AI-Generated Physics Solutions And Preparing Students To Critique Them
Nikhil Sanjay Borse, Amir Bralin, Sean Savage, N. Sanjay Rebello. (08/2026). arXiv. https://arxiv.org/abs/2608.12533v1
AI-Generated Interactive Fiction For Educational Use: A Pilot Study Of Perceived Comprehensibility, Coherence, And Engagement
F. Rogosch, A. Schrader. (08/2026). arXiv. https://arxiv.org/abs/2608.10818v1
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
When LLM Essays Outscore Student Essays: What A Korean Writing Rubric Rewards And Where Readers Disagree
Shinwoo Park, Yo-Sub Han. (08/2026). arXiv. https://arxiv.org/abs/2601.19913v4
What Remains Human In Mathematics In The Age Of AI
Amir Moradifam. (07/2026). arXiv. https://arxiv.org/abs/2607.28791v1
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
Four Years Of Genai: How Educators And Industry Adapted Their Assessment Strategies
May Mahmoud, Nisa Shahid, Izah Sohail, Gulshan Sharma, Hanan Salam, Sarah Nadi. (07/2026). arXiv. https://arxiv.org/abs/2607.24246v2
Generative AI Availability, Grades, And Student Satisfaction At A Large University
James M. Zumel Dumlao, Meng Wang, Zhonghan Xie, Junyao Hu, Ivan Bar, George Chaney III, Henry Gold, Misha Teplitskiy. (07/2026). arXiv. https://arxiv.org/abs/2607.21534v2
From Novelty To Normalisation: Tracking Changing Perceptions Of AI In Higher Education, 2024-2026
Juliana Gerard, Morgan Macleod, Kelly Norwood, Aisling Reid, Muskaan Singh. (07/2026). arXiv. https://arxiv.org/abs/2607.16223v2
