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Teaching – Professional Learning
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 1 - 30 of 173
Human-LLM Collaborative Inductive Coding For Conceptualizing K-12 Educator AI Use
Alex Liu, Min Sun, Lief Esbenshade, Michael Xiao, Victor Tian, Zachary Zhang, Kevin He. (07/2026). arXiv. https://arxiv.org/abs/2607.28889v1
Beyond Perspectives: A Trio-Ethnography Of Interpretation Evolution In LLM-Supported Programming Education
Jennie Ren, Jordan H. McDowell, Kyrie Zhixuan Zhou. (07/2026). arXiv. https://arxiv.org/abs/2607.22463v1
Generative AI And Agency In Education: A Critical Scoping Review And Thematic Analysis
Jasper Roe, Mike Perkins. (07/2026). arXiv. https://arxiv.org/abs/2411.00631v2
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
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
A Framework For Institutional Change In The Age Of AI
David Perl-Nussbaum, Noah D. Finkelstein. (07/2026). arXiv. https://arxiv.org/abs/2605.12757v2
The Effortless Trap: Productive Struggle, AI, And The Illusion Of Learning
Mario Brcic, Stjepan Frljic. (06/2026). arXiv. https://arxiv.org/abs/2606.26181v1
Supporting Tutors In The Gig Economy With Automated Feedback: A Case Study On Ringle
Yeon Su Park, Sieun Kim, Keighley Overbay, Seoyoung Kim, Sewook Wee, Daho Jung and Juho Kim. (06/2026). arXiv. https://arxiv.org/abs/2606.22609v1
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
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
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
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
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
Faculty Orientations Shape Adoption Of AI In Research And Teaching
T. J. Atherton, I. Descamps, M. Webel, T. R. Holmes, C. L. Vizcarra, N. Sui, J. J. Foley IV. (05/2026). arXiv. https://arxiv.org/abs/2605.18140v1
A Scoping Review Of Large Language Model-Based Pedagogical Agents
Shan Li, Juan Zheng. (05/2026). arXiv. https://arxiv.org/abs/2604.12253v2
Addressing The Reality Gap: A Three-Tension Framework For Agentic AI Adoption
Jason Fournier, Kacper Łodzikowski. (05/2026). arXiv. https://arxiv.org/abs/2604.27245v2
Teaching with Gemini: Measuring the impact of Guided Learning on student mathematics progress in Sierra Leone
LearnLM Team, Google & Fab AI. (05/2026). Google. https://storage.googleapis.com/deepmind-media/LearnLM/learnLM_sierraleone_may26…
Agentic AI Ecosystems In Higher Education: A Perspective On AI Agents To Emerging Inclusive, Agentic Multi-Agent AI Framework For Learning, Teaching And Institutional Intelligence
Vidya K Sudarshan, Anushka Sisodia, Reshma A Ramachandra, Batra Sia, Josephine Chong Leng Leng. (05/2026). arXiv. https://arxiv.org/abs/2605.14266v1
Simulating Students Or Sycophantic Problem Solving? On Misconception Faithfulness Of LLM Simulators
Heejin Do, Shashank Sonkar, Mrinmaya Sachan. (05/2026). arXiv. https://arxiv.org/abs/2605.12748v1
First, Do No Harm: AI Supervisor Scaffolds Novice Growth In Counselor Education
Chen Xu, Zhenyu Lyu, Tian Lan, Yang Yi, Yu Ji, Luyao Ji, Jian Shen, Zhihua Wang, Leyang Cui, Jieshuo Zhang, Xiaohua Wan, Qunxi Dong, Minqiang Yang, Juan Wang, Xiuling Liu, Bin Hu. (05/2026). arXiv. https://arxiv.org/abs/2508.09042v3
Preparing Students For AI-Powered Materials Discovery: A Workflow-Aligned Framework For AI Literacy, Equity, And Scientific Judgment
Dongming Mei, Katherine Moore, Ben Sayler. (05/2026). arXiv. https://arxiv.org/abs/2605.09624v1
Argumath: AI-Simulated Environment For Pre-Service Teacher Training In Orchestrating Classroom Mathematics Argumentation
Jiwon Chun, Yuling Zhuang, Armanto Sutedjo, Colin Xu, Rong Ren, and Meng Xia. (04/2026). arXiv. https://arxiv.org/abs/2604.22205v1
Knowledge without Wisdom: Measuring Misalignment between LLMs and Intended Impact
Michael Hardy, Yunsung Kim. (04/2026). arXiv. https://arxiv.org/abs/2603.00883
Artificial Intelligence For All? Brazilian Teachers On Ethics, Equity, And The Everyday Challenges Of AI In Education
Bruno Florentino, Andre de Carvalho, Camila Sestito, Wellington Cruz, Robson Bonidia. (04/2026). arXiv. https://arxiv.org/abs/2512.23834v2
Grounding AI-in-Education Development in Teachers' Voices: Findings from a National Survey in Indonesia
Nurul Aisyah, Muhammad Dehan Al Kautsar, Arif Hidayat, and Fajri Koto. (04/2026). arXiv. https://arxiv.org/abs/2604.01630v1
Practitioner Voices Summit: How Teachers Evaluate AI Tools Through Deliberative Sensemaking
Dorottya Demszky, Christopher Mah, Helen Higgins. (03/2026). arXiv. https://arxiv.org/abs/2603.22588v3
Pacee: Parent-Centered AI Scaffolding For Emotion Education In Early Childhood Conversations
Yu Mei, Xutong Wang, Ziyao Zhang, Yiming Fu, Shiyi Wang, Qingyang Wan, Qinghuan Lan, Chang Liu, Jie Cai, Chun Yu, Yuanchun Shi. (03/2026). arXiv. https://arxiv.org/abs/2511.14414v3
"You Can Actually Do Something'': Shifts in High School Computer Science Teachers' Conceptions of AI/ML Systems and Algorithmic Justice
Daniel J. Noh, Deborah A. Fields, Yasmin B. Kafai, Danae Metaxa. (03/2026). arXiv. https://arxiv.org/abs/2602.16123v4
The Landscape Of AI In Science Education: What Is Changing And How To Respond
Xiaoming Zhai, Kent Crippen. (03/2026). arXiv. https://arxiv.org/abs/2602.18469v2
