Teaching – Professional Learning
Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 1 - 30 of 140
Practicing With Language Models Cultivates Human Empathic Communication
Aakriti Kumar, Nalin Poungpeth, Diyi Yang, Bruce Lambert, Matthew Groh. (03/2026). arXiv. https://arxiv.org/pdf/2603.15245
Llama Lima: A Living Meta-Analysis On The Effects Of Generative AI On Learning Mathematics Version 2, 03/26
Anselm Strohmaier, Samira Bodefeld, Oliver Straser, Frank Reinhold. (03/2026). arXiv. https://arxiv.org/pdf/2601.18685v2
Beyond Single-Turn: A Survey On Multi-Turn Interactions With Large Language Models
Yubo Li, Xiaobin Shen, Xinyu Yaot, Xueying Ding, Yidi Miaot, Krishnan Ramayya, Rema Padman. (02/2026). arXiv. https://arxiv.org/pdf/2504.04717v5
Virena: Virtual Arena For Research, Education, And Democratic Innovation
Emma Hoest, K. Jonathan Kluser, Fabrizio Gilardi. (02/2026). arXiv. https://arxiv.org/pdf/2602.12207v2
Createai: Insights From An Nsf Workshop On K-12 Students, Teachers, And Families As Designers Of Artificial Intelligence And Machine Learning Applications
Yasmin B. Kafai, Jose Ramon Lizarraga, R. Benjamin Shapiro, Marina Bers, Kathi Fisler. (02/2026). arXiv. https://arxiv.org/pdf/2602.16894v1
Leveraging Generative AI For Human Understanding: Meta-Requirements And Design Principles For Explanatory Al As A New Paradigm
Christian Meske, Justin Brenne, Erdi Unal, Sabahat Olcer, Aysegul Dogangun. (02/2026). arXiv. https://arxiv.org/pdf/2508.06352v2
Charting The Future Of AI-Supported Science Education: A Human-Centered Vision
Xiaoming Zhai, Kent Crippen. (02/2026). arXiv. https://arxiv.org/pdf/2602.18471v1
The Landscape Of AI In Science Education: What Is Changing And How To Respond
Xiaoming Zhai, Kent Crippen. (02/2026). arXiv. https://arxiv.org/pdf/2602.18469v1
Lessons Learned From Integrating Generative AI Into An Introductory Undergraduate Astronomy Course At Harvard
Christopher W. Stubbs, Dongpeng Huang, Jungyoon Koh, Madeleine Woods, Andres A. Plazas Malagon. (02/2026). arXiv. https://arxiv.org/pdf/2602.04389v1
Llm Agents For Education: Advances And Applications
Zhendong Chu, Shen Wang, Jian Xie, Tinghui Zhu, Yibo Yan, Jinheng Ye, Aoxiao Zhong, Xuming Hu, Jing Liang, Philip S. Yu, Qingsong Wen. (02/2026). arXiv. https://arxiv.org/pdf/2503.11733v2
Drawsim-Pd: Simulating Student Science Drawings To Support Ngss-Aligned Teacher Diagnostic Reasoning
Arijit Chakma, Peng He, Honglu Liu, Zeyuan Wang, Tingting Li, Tiffany D. Do, and Feng Liu. (02/2026). arXiv. https://arxiv.org/pdf/2602.01578v1
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. (01/2026). arXiv. https://arxiv.org/pdf/2601.22788v1
Trustworthy Intelligent Education: A Systematic Perspective On Progress, Challenges, And Future Directions
Xiaoshan Yu, Shangshang Yang, Ziwen Wang, Haiping Ma, Xingyi Zhang. (01/2026). arXiv. https://arxiv.org/pdf/2601.21837v1
Evolution Of Al In Education: Agentic Workflows
Firuz Kamalov, David Santandreu Calonge, Linda Smail, Dilshod Azizov, Dimple R. Thadani, Theresa Kwong, Amara Atif. (01/2026). arXiv. https://arxiv.org/pdf/2504.20082v2
Reflecting In The Reflection: Integrating A Socratic Questioning Framework Into Automated Ai-Based Question Generation
Ond≈ôej Holub, Essi Ryymin, Rodrigo Alves. (01/2026). arXiv. https://arxiv.org/pdf/2601.14798v1
A Survey Of Self-Evolving Agents What, When, How, And Where To Evolve On The Path To Artificial Super Intelligence
Huan-ang Gao, Jiayi Geng, Wenyue Hua, Mengkang Hu, Xinzhe Juan, Hongzhang Liu, Shilong Liu, Jiahao Qiu, Xuan Qi, Qihan Ren, Yiran Wu, Hongru Wang, Han Xiao, Yuhang Zhou, Shaokun Zhang, Jiayi Zhang, Jinyu Xiang, Yixiong Fang, Qiwen Zhao, Dongrui Liu, Cheng Qian, Zhenhailong Wang, Minda Hu, Huazheng Wang, Qingyun Wu, Heng Ji, Mengdi Wang. (01/2026). arXiv. https://arxiv.org/pdf/2507.21046v4
Thematic Working Group 5 - Artificial Intelligence (Ai) Literacy For Teaching And Learning: Design And Implementation
Mary Webb, Matt Bower, Ana Amelia Carvalho, Fredrik Mork Rokenes, Jodie Torrington, Jonathan D. Cohen, Yousra Chtouki, Kathryn Maccallum, Tanya Linden, Deirdre Butler, Juliana Elisa Raffaghelli, Henriikka Vartiainen, Martina Ronci, Peter Tiernan, David M. Smith, Chris Shelton, Joyce Malyn-smith, Pierre Gorissen. (01/2026). arXiv. https://arxiv.org/pdf/2601.08380v1
Genaited Ghana: A First-Of-Its-Kind Context-Aware And Curriculum-Aligned Conversational Ai Agent For Teacher Education
Matthew Nyaaba, Patrick Kyeremeh, Macharious Nabang, Bismark Nyaaba Akanzire, Sakina Acquah, Cyril Ababio Titty, Kotor Asare, Jerry Etornam Kudaya. (01/2026). arXiv. https://arxiv.org/pdf/2601.06093v2
Can Ai Chatbots Provide Coaching In Engineering? Beyond Information Processing Toward Mastery
Junaid Qadir, Muhammad Adil Attique, Saleha Shoaib, Syed Ibrahim Ghaznavi. (01/2026). arXiv. https://arxiv.org/pdf/2601.03693v1
Unpacking Generative Ai In Education: Computational Modeling Of Teacher And Student Perspectives In Social Media Discourse
Paulina DeVito, Akhil Vallala, Sean Mcmahon, Yaroslav Hinda, Benjamin Thaw, Hanqi Zhuang, Hari Kalvad. (01/2026). arXiv. https://arxiv.org/pdf/2506.16412v2
Interoperability In Ai Safety Governance: Ethics, Regulations, And Standards
Yik Chan Chin, David A. Raho, Hag-Min Kim, Chunli Bi, James Ong, Jingbo Huang, Serge Stinckwich. (01/2026). arXiv. https://arxiv.org/pdf/2601.06153v1
Prompt Engineering For Responsible Generative Ai Use In African Education: A Report From A Three-Day Training Series
Benjamin Quarshie, Vanessa Willemse, Macharious Nabang, Bismark Nyaaba Akanzire, Patrick Kyeremeh, Saeed Maigari, Dorcas Adomina, Ellen Kwarteng, Eric Kojo Majialuwe, Craig Gibbs, Jerry Etornam Kudaya, Sechaba Koma, Matthew Nyaaba. (01/2026). arXiv. https://arxiv.org/pdf/2601.06121v1
How To Assess Ai Literacy: Misalignment Between Self-Reported And Objective-Based Measures
Shan Zhang, Ruiwei Xiao, Anthony F. Botelho, Guanze Liao, Thomas K. F. Chiu, John Stamper, Kenneth R. Koedinger. (01/2026). arXiv. https://arxiv.org/pdf/2601.06101v1
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. (12/2025). arXiv. https://arxiv.org/pdf/2512.23834v1
Advancing Multimodal Teacher Sentiment Analysis: The Large-Scale T-Med Dataset & The Effective Aam-Tsa Model
Zhiyi Duan, Xiangren Wang, Hongyu Yuan, Qianli Xing. (12/2025). arXiv. https://arxiv.org/pdf/2512.20548v2
Bidirectional Human-Ai Alignment In Education For Trustworthy Learning Environments
Hua Shen, NYU Shanghai, New York University. (12/2025). arXiv. https://arxiv.org/pdf/2512.21552v1
Cyber Humanism In Education: Reclaiming Agency Through Ai And Learning Sciences
Giovanni Adorni. (12/2025). arXiv. https://arxiv.org/pdf/2512.16701v1
Snapclass: An Ai-Enhanced Classroom Management System For Block-Based Programming
Bahare Riahi, Xiaoyi Tian, Ally Limke, Viktoriia Storozhevykh, Veronica Cateté, Tiffany Barnes, Nicholas Lytle, Khushbu Singh. (12/2025). arXiv. https://arxiv.org/pdf/2512.15825v1
How K-12 Educators Use Ai: Llm-Assisted Qualitative Analysis At Scale
Alex Liu, Lief Esbenshade, Shawon Sarkar, Zewei (Victor) Tian, Zachary Zhang, Kevin He, Min Sun. (12/2025). arXiv. https://arxiv.org/pdf/2507.17985v3
The Adoption And Usage Of Ai Agents: Early Evidence From Perplexity*
Jeremy Yang, Noah Yonack, Kate Zyskowski, Denis Yarats, Johnny Ho, Jerry Ma. (12/2025). arXiv. https://arxiv.org/pdf/2512.07828v2
