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Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 1 - 30 of 179
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
AI-Based Scoring Systematically Underestimates Conceptual Understanding Of Linguistically Weak Students' Explanations In Physics
Markus S. Feser, Paul L. Tschisgale. (07/2026). arXiv. https://arxiv.org/abs/2607.28210v1
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
What Remains Human In Mathematics In The Age Of AI
Amir Moradifam. (07/2026). arXiv. https://arxiv.org/abs/2607.28791v1
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
When Rubrics Change: Cross-Rubric Generalization For Critical Thinking Essay Scoring
Nischal Ashok Kumar, Payu Wittawatolarn, Sana Kang, Marisa C. Peczuh, Blair Lehman, Ryan Baker, Caitlin Mills, Sherry Lachman, Ruochen Sun, Andrew Lan. (07/2026). arXiv. https://arxiv.org/abs/2607.13433v1
The Paternalistic Filter: Epistemic Injustice And Differential Refusal In LLM-Mediated History Education For Marginalized Romanian Students
Alexis Popovici, Andrei Ionascu, Adrian Marius Dumitran. (07/2026). arXiv. https://arxiv.org/abs/2607.11292v1
How Annotation Trains Annotators: Competence Development In Social Influence Recognition
Maciej Markiewicz, Beata Bajcar, Wiktoria Mieleszczenko-Kowszewicz, Aleksander Szczƒôsny, Tomasz Adamczyk, Grzegorz Chodak, Karolina Ostrowska, Aleksandra Sawczuk, Jolanta Babiak, Jagoda Szklarczyk, Przemyslaw Kazienko. (07/2026). arXiv. https://arxiv.org/abs/2604.02951v2
Deanllm: A Framework For Automated Quality Review Of AI-Generated Feedback
Keyang Qian, Yixin Cheng, Rui Guan, Wei Dai, Flora Ji-Yoon Jin, Kaixun Yang, Sadia Nawaz, Zachari Swiecki, Guanliang Chen, Lixiang Yan, Dragan Gasevic. (07/2026). arXiv. https://arxiv.org/abs/2508.05952v2
Data Comics For Education: Evaluating Effectiveness, Benefits, And The Ethics Of AI-Assisted Creation
Zirui Shan, Vanessa Echeverria, Yuheng Li, Yi-Shan Tsai, Roberto Martinez-Maldonado. (07/2026). arXiv. https://arxiv.org/abs/2607.02361v1
Evaluating Interactivity: Toward Automated Assessment Of AI-Generated Explorable Explanations
Xiaozao Wang, Zhewei Wang, Hongyi Wen. (06/2026). arXiv. https://arxiv.org/abs/2606.31012v1
Sycophantic AI makes human interaction feel more effortful and less satisfying over time
Lujain Ibrahim, Franziska Sofia Hafner, Myra Cheng, Cinoo Lee, Rebecca Anselmetti, Robb Willer, Luc Rocher, Diyi Yang. (06/2026). arXiv. https://arxiv.org/abs/2605.07912
Scan: A Decision-Making Framework For Effective Task Allocation With Generative AI
Fendi Tsim, Alina Gutoreva. (06/2026). arXiv. https://arxiv.org/abs/2606.15601v1
Cotal: Human-In-The-Loop Prompt Engineering For Generalizable Formative Assessment Scoring And Feedback
Clayton Cohn, Ashwin T S, Naveeduddin Mohammed, Gautam Biswas. (06/2026). arXiv. https://arxiv.org/abs/2504.02323v4
Multi-Level Barriers To Generative AI Adoption Across Disciplines And Professional Roles In Higher Education
Jianhua Yang, Kerem Oge, Adrian von Muhlenen, Abdullah Bilal Akbulut, Tanya Suzanne Carey, Chidi Okorro. (05/2026). arXiv. https://arxiv.org/abs/2603.27052v3
Generalizing A Highly Configurable Analytics Pipeline To Replicate And Support Educational Research Across Multiple Domains
Y. Bai, P. Thajchayapong, A. Goel. (05/2026). arXiv. https://arxiv.org/abs/2605.30303v1
Practitioner Beliefs And Behaviors In AI-Enhanced Education: Dot Framework Survey Evidence
David Gibson, M. Elizabeth Azukas, Gerald Knezek. (05/2026). arXiv. https://arxiv.org/abs/2605.29041v1
Governing generative AI in higher education: a global Delphi study on policy and practice
Helen Crompton, Diane Burke, Christine Nickel, Aras Bozkurt, Fengchun Miao, Mike Sharples, Jeffrey Alan Greene, David Parsons, Lucy Gill-Simmen, Adam Edmett, Mark Pegrum, Inge de Waard, Curtis J. Bonk, Manuel B. Garcia, John H. Curry, LeeAnn Lindsey, Mohan Yang, Stephen Marshall, Maha Bali, Nellie Deutsch, Suzaan le Roux, Mourad Benali, Mohd Ali Bin Samsudin, Hasan Tinmaz, Matthew L. Bernacki, Mari van Wyk, Lenandlar Singh, Agnes Chigona, Lance Eaton, Junhong Xiao, Johanna Velander, Jinhee Kim, Francisco Bellas, R. Rajalakshmi, Andréia de Bem Machado, Agnieszka Palalas, Sean Yu. (05/2026). International Journal of Educational Technology in Higher Education. https://link.springer.com/article/10.1186/s41239-026-00602-z
"Would You Want an AI Tutor?" Understanding Stakeholder Perceptions of LLM-based Systems in the Classroom
Caterina Fuligni, Daniel Dominguez Figaredo, Armanda Lewis, Julia Stoyanovich. (05/2026). arXiv. https://arxiv.org/abs/2503.02885v3
Generative AI Practices, Literacy, And Divides: An Empirical Analysis In The Italian Context
Beatrice Savoldi, Giuseppe Attanasio, Olga Gorodetskaya, Marta Marchiori Manerba, Elisa Bassignana, Silvia Casola, Matteo Negri, Tommaso Caselli, Luisa Bentivogli, Alan Ramponi, Arianna Muti, Nicoletta Balbo, Debora Nozza. (05/2026). arXiv. https://arxiv.org/abs/2512.03671v2
Mapping AI Programs In The U.S: A Status Report From Early 2026 And An Analysis Of AI Majors And Minors
Felix Muzny, Carolyn Jones, Carter Ithier, Hasnain Sikora, Hrutika Harshadbhai Patel, Carla E. Brodley. (05/2026). arXiv. https://arxiv.org/abs/2606.12428v1
Temperature And Persona Shape LLM Agent Consensus With Minimal Accuracy Gains In Qualitative Coding
Conrad Borchers, Bahar Shahrokhian, Francesco Balzan, Elham Tajik, Sreecharan Sankaranarayanan, Sebastian Simon. (05/2026). arXiv. https://arxiv.org/abs/2507.11198v2
A Meta-Analysis Of The Effect Of Generative AI On Productivity And Learning In Programming
Sebastian Maier, Moritz Gunzenhäuser, Jonas Schweisthal, Manuel Schneider, Stefan Feuerriegel. (05/2026). arXiv. https://arxiv.org/abs/2605.04779v1
Math Education Digital Shadows For Facilitating Learning With LLMs: Math Performance, Anxiety And Confidence In Simulated Students And Ais
Naomi Esposito, Anthony Tricarico, Luisa Porzio, Ali Aghazadeh Ardebili, and Massimo Stella. (04/2026). arXiv. https://arxiv.org/abs/2604.27618v1
LLM-Assisted Sentiment Analysis For Integrated Computational And Qualitative Mixed Methods Education Research: A Case Study Of Students' Written Reflection Assignments
Xiomara Gonzalez, Gabriella Coloyan Fleming, Andrew Katz, Maya Denton, Jessica Deters. (04/2026). arXiv. https://arxiv.org/abs/2605.27403v1
Sandpiper: Orchestrated AI-Annotation For Educational Discourse At Scale
Daryl Hedley, Doug Pietrzak, Jorge Dias, Ian Burden, Bakhtawar Ahtisham, Zhuqian Zhou, Kirk Vanacore, Joshua Marland, Rachel Slama, Justin Reich, Kenneth Koedinger, Rene Kizilcec. (04/2026). arXiv. https://arxiv.org/abs/2603.08406v2
