| 2026 | The Edit is the Evaluation: What TA Revisions Reveal About AI Lecture Assistants. | Meenakshi Mittal, Christopher Mach, Kaden Tang, Narges Norouzi |
| 2026 | Fairness Depends on Assessment: Learning by Teaching with Large Language Models. | Sydney Miller, Lan Jiang, Nigel Bosch |
| 2026 | Writing Instructors' Pedagogical Decisions About Generative AI. | Sydney Miller, Nigel Bosch |
| 2026 | Supporting Socially Shared Regulation Through Human-AI Collaboration in Pre-service Teacher Education. | Blessed Aspinas Mhungu |
| 2026 | Faculty Response to Generative AI: Attitudes, Change in Practice and Policy Towards Students' Use. | Hagit Meishar-Tal, Tami Seifert, Miri Shonfeld |
| 2026 | SimPath: Clinically Grounded AI Patients for Therapist Training. | Vatsal Mehta, Zinan Zhang, Anushka Anand, Shreevidhya Shambanna, Akram Bayat |
| 2026 | Mapping AI Literacy in Medical Education: A Review of Concepts and Teaching Practices. | Yingbo Ma, Yukyeong Song |
| 2026 | Genie Training the Wisher: Six-Dimension Task-Agnostic AI Coaching for Learning Transferable LLM Prompting Skills. | Andrea Martinenghi, Sabrina Guidotti, Gregor Donabauer, Cansu Koyuturk, Ariel Ortiz-Beltrn, Emily Theophilou, Riccardo Chimisso, Markus Bink, Franca Garzotto, Davide Taibi, Martin Ruskov, Udo Kruschwitz, Davinia Hernndez Leo, Dimitri Ognibene |
| 2026 | How Annotation Trains Annotators: Competence Development in Social Influence Recognition. | Maciej Markiewicz, Beata Bajcar, Wiktoria Mieleszczenko-Kowszewicz, Aleksander Szczesny, Tomasz Adamczyk, Grzegorz Chodak, Karolina Ostrowska, Aleksandra Sawczuk, Jolanta Babiak, Jagoda Szklarczyk, Przemyslaw Kazienko |
| 2026 | A Hybrid Human-AI Content Generation Framework for Safe and Personalized Dialogic Learning with Children. | Elena Malnatsky, Shenghui Wang, Kuhu Sinha, Koen V. Hindriks, Mike E. U. Ligthart |
| 2026 | CLUE-AI: A Collaborative Game-Based Learning Approach to Promote Critical Literacy for Uncovering Errors in AI. | Pragati Maheshwary, Shamya Karumbaiah, Anurag Maravi, Aditi Haiman |
| 2026 | CLAIRE: A Controllable LLM Tutoring Framework for Reading Comprehension. | Chiara Magurno, Michele Luca Contalbo, Matteo Paganelli, Enrico Giliberti, Chiara Bertolini, Francesco Guerra |
| 2026 | "GenAI Defaults to Bias!" Gamify AI Literacy Through Reflections on Prompts. | Qianou Ma, Megan Chai, Yike Tan, Jihun Choi, Jini Kim, Erik Harpstead, Geoff Kauffman, Tongshuang Wu |
| 2026 | Evaluating a Data-Driven Redesign Process for Intelligent Tutoring Systems. | Qianru Lyu, Conrad Borchers, Meng Xia, Karen Xiao, Paulo Carvalho, Kenneth R. Koedinger, Vincent Aleven |
| 2026 | Contrastive Network-Based Similarity for Zero-Shot Automatic Scoring of Very Short Handwritten Answers. | Nam Tuan Ly, Hung Tuan Nguyen, Thanh-Nghia Truong, Masamitsu Ito, Masaki Nakagawa |
| 2026 | Measuring AI Leadership in Education: Development and Validation of the AI Educational Leadership Scale (AIELS) for Chinese Educational Leaders. | Xiaohang Luo, Ran Ju, Menghao Ren, Cui Wu, Yingqi Wang, Jingran Xu, Ruoshui Zhao |
| 2026 | Explaining, Solving, or Generating? Functional Differences in Students' AI Use in a University Database Course. | Piret Luik |
| 2026 | i-vip: A LLM-Driven Multi-agent System for Professional Development of Mathematics Teachers. | Hang Li, Kaiqi Yang, Yucheng Chu, Ahreum Han, Rui Meng, Yasemin Copur-Gencturk, Hui Liu |
| 2026 | Who Benefits From Which Voice? Group-Differentiated Effects of Teachable Agent Voice Emotion Design on Achievement Emotions and Engagement Patterns in K-12 Mathematics Learning. | Hai Li, Wanli Xing, Chenglu Li, Bailing Lyu |
| 2026 | Bidirectional Co-regulation Mechanisms Between Teachable Agents and Students: Authority-Agency Evolutionary Characteristics and Their Link to Learning Gains Through Time Series Dynamics. | Hai Li, Wanli Xing, Chenglu Li, Taehyun Kim, Yukyeong Song, Jinhee Kim |
| 2026 | Decomposing the Fairness Gap: Disentangling Data Scarcity from Validity Bias in AI-Driven Formative Assessment. | Xuanyu Liu, Wen Zhu |
| 2026 | A Comparative Study of Student Perspectives on Technical Writing Feedback Quality: Evaluating LLMs, SLMs, and Humans in Computer Science Topics. | Suqing Liu, Runlong Ye, Christopher Eaton, Bogdan Simion, Michael Liut |
| 2026 | From Examples to Rules? Exploring Inductive Reverse Engineering and Deductive Few-Shot Coding via LLMs for Qualitative Data Analysis. | Zifeng Liu, Anupom Mondol, Xinyue Jiao, Jie Chao, Linlin Li, Wanli Xing |
| 2026 | AI-Driven Analytics of Team-Teaching Talk: Acoustic Patterns Across Experience, Cohorts and the Learning Design. | Yuchen Liu, Roberto Martnez-Maldonado, Riordan Alfredo, Paola Mejia-Domenzain, Dwi Rahayu, Sadia Nawaz |
| 2026 | Misconception Acquisition Dynamics in Large Language Models. | Naiming Liu, Xinghe Chen, Richard G. Baraniuk, Mrinmaya Sachan, Shashank Sonkar |