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Educator
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 1 - 30 of 696
Generative AI Can Harm Teaching
Alp Sungu, Benjamin Lira, Angela L. Duckworth. (07/2026). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7007339
Let’s Chat: Leveraging Chatbot Outreach for Improved Course Performance
Katharine E. Meyer, Lindsay C. Page, Catherine Mata, Eric Smith, Brendan Tyler Walsh, Candice L. Fifield, Michelle Tyson, Amy E. Eremionkhale, Michael Evans, Shelby Frost, Eye Eoun Jung. (07/2026). NBER. https://www.nber.org/papers/w35397?utm_campaign=ntwh&utm_medium=email&utm_sourc…
What LLMs Must Forget To Teach Effectively A Diy Approach To Premodern Japanese Language Pedagogy
Ariel Stilerman, Andrew Nelson, Alan Cheng, Caleb Langley, Sera Wang, Camilla Piana, Pelin Çılgın, Qianhe Qin, Teisha Nishimitsu, Liaoliao Zhang, Huiting Liu, Josh Eyret, Gavin Sherry. (06/2026). arXiv. https://arxiv.org/abs/2606.01410v2
The Missing Layer: Why EdTech Needs Design-Time Generative Ui, Not Just Runtime Personalization
Seyed Parsa Neshaei, Abhinand Shibu, Fatma Betül Güres. (06/2026). arXiv. https://arxiv.org/abs/2606.15902v1
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
What Do You Mean By 'Human-AI Collaboration'? Prerequisite Functions And The Affordances Needed To Achieve It
Professor Mutlu Cukurova. (06/2026). arXiv. https://arxiv.org/abs/2606.15509v1
Reshaping Undergraduate Computer Science Education In The Generative AI Era (Version 1.0)
Yi-Chieh (EJ) Lee, Nattapat Boonprakong, Yugin Tan, Harold Soh, Alex Potanin, Viraj Kumar, Anoop K. Sinha, Chen Qian, Paul Denny, Mennatallah El-Assady, Ian Oakley, Jake Renzella, Amy Zhang, Jat Singh, Wee Sun Lee, Hsuan-Tien Lin, Jane L. E, Anthony Tang, Margaret M. Burnett, Sowmya Somanath, Renwen Zhang, Vicky Charisi, Alexandra I. Cristea. (06/2026). arXiv. https://arxiv.org/abs/2606.07545v2
Exploring How Agent Voice Accents Shape Human-AI Collaboration In K-12 Group Learning
Prerna Ravi, Carúmey Stevens, Ben Hurt, Brandon Hanks, Grace Lin, and Emma Anderson. (06/2026). arXiv. https://arxiv.org/abs/2606.12805v1
Structuring Transparency: Developing Domain-Specific Generative AI Declaration Frameworks In Higher Education
Nicholas Micallef, Olga Petrovska. (06/2026). arXiv. https://arxiv.org/abs/2606.13389v1
Beyond Tool Adoption: A Practical Five-Stage Developmental Continuum For AI Literacy In Higher Education
J. Paul Liu, Rachel Levy. (06/2026). arXiv. https://arxiv.org/abs/2606.00038v5
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
Agentic AI And Pedagogical Best Practice: The Tension Between Automation And Learning
Steve Woollaston, Brendan Flanagan, Isanka Wijerathne, and Hiroaki Ogata. (06/2026). arXiv. https://arxiv.org/abs/2606.04543v1
From Motion Signals To Insights: A Unified Framework For Student Behavior Analysis And Feedback In Physical Education Classes
Xian Gao, Jiacheng Ruan, Jingsheng Gao, Mingye Xie, Zongyun Zhang, Ting Liu and Yuzhuo Fu. (06/2026). arXiv. https://arxiv.org/abs/2503.06525v2
AI Assistance For Discretionary Work: Increasing Feedback Provision In Higher Education
ROMINA MAHINPEI, VICTORIA DEAN, RUTH FONG, LYDIA T. LIU, MANOEL HORTA RIBEIRO. (06/2026). arXiv. https://arxiv.org/abs/2606.03095v1
AI Diffusion Gaps: Unequal Integration of AI Across K-12 School
Christopher Campos, John D. Singleton. (06/2026). NBER. https://www.nber.org/papers/w35347
Advanced Mathematics Learning Behavior Prediction And Academic Early Warning Model Based On Multimodal Data Analysis
Liu Qiong, Li Zhengbo. (05/2026). arXiv. https://arxiv.org/abs/2606.01224v1
Multi-Level Barriers To Generative AI Adoption Across Disciplines And Professional Roles In Higher Education
Jianhua Yang, Kerem Öge, Adrian von Mühlenen, Abdullah Bilal Akbulut, Tanya Suzanne Carey, Chidi Okorro. (05/2026). arXiv. https://arxiv.org/abs/2603.27052v3
Soro: A Lightweight Foundation Model And Chatbot For Tajik
Stanislav Liashkov, Haitz S√°ez de Oc√°riz Borde, Azizjon Azimi, Khushbakht Shoymardonov, Shuhratjon Khalilbekov, Bonu Boboeva. (05/2026). arXiv. https://arxiv.org/abs/2605.27379v2
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
Double-Edged Sword Or Sharp Tool? Designing And Evaluating Triadic LLM-Teacher Collaboration For K-12 Writing At Scale
Canran WANG, Yuwen Yang, Zhen Wang, Ming MA, Chentai Wang, Ding Yu, Keman Huang, Xiaoyong Du. (05/2026). arXiv. https://arxiv.org/abs/2605.30200v1
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
Prediction Model Of Motivators And Demotivators Of Integrating Large Language Models In Software Engineering Education: An Empirical Study
Maryam Khan, Muhammad Azeem Akbar, Jussi Kasurinen, Estefanía Martín-Barroso. (05/2026). arXiv. https://arxiv.org/abs/2605.09393v3
Beyond AI Delegation: A Prompt Pattern Framework For Productive Struggle And Evaluative Judgement In Secure Coding Education
Philipp Haindl, Oliver Eigner, Peter Kieseberg. (05/2026). arXiv. https://arxiv.org/abs/2605.24447v1
Towards an Evaluation Methodology for AI in Second Language Education: Lessons Learned from Developing L2-Bench
James Edgell, Wm. Matthew Kennedy, Isaac Pattis, Ben Knight, Danielle Carvalho, Elizabeth Wonnacott. (05/2026). arXiv. https://arxiv.org/abs/2603.20088v2
Facet: Multi-Agent AI Supporting Teachers In Scaling Differentiated Learning For Diverse Students
Jana Gonnermann-Muller, Jennifer Haase, Nicolas Leins, Moritz Igel, Konstantin Fackeldey and Sebastian Pokutta. (05/2026). arXiv. https://arxiv.org/abs/2601.22788v4
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
Llama Lima: A Living Meta-Analysis On The Effects Of Generative AI On Learning Mathematics
Anselm Strohmaier, Samira Bödefeld, Oliver Straser, Frank Reinhold. (05/2026). arXiv. https://arxiv.org/abs/2601.18685v3
Who Gets To Do Physics? Occupational Stereotypes In AI-Generated Problem Sets
Bilas Paul. (05/2026). arXiv. https://arxiv.org/abs/2605.19161v1
