Table of Contents
Summary: There were 36 papers submitted for peer-review across the three workshops in this joint volume. Out of these,
23 papers were accepted: 12 in GenAI-LA (6 full and 6 short), 4 in HYBRID, and 7 in AI-LIT (1 full and 6 short).
Per-workshop review processes, deadlines, and committees are detailed in the individual workshop prefaces below.
Third International Workshop on Generative AI and Learning Analytics: Unpacking Human–AI Collaboration with Learning Analytics (GenAI-LA 2026)
Organising Committee:
Lixiang Yan (Tsinghua University),
Yueqiao Jin (Monash University),
Andy Nguyen (University of Oulu),
Wanruo Shi (Tsinghua University),
Ryan Baker (Adelaide University),
Mutlu Cukurova (University College London),
Dragan Gašević (Monash University),
Nancy Law (University of Hong Kong),
Yuheng Li (The Hong Kong Polytechnic University).
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Preface to GenAI-LA 2026
1-3
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Group Size Matters: Epistemic Network Analysis of GenAI's Impact on Collaborative Inquiry
4-16
Shuang Wu,
Shen Ba,
Guoqing Lu,
Xiao Hu
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From Log Data to GenAI Scaffolds: Annotation Design as a Lens for Learning Analytics in Human–AI Collaboration
17-26
Wenting Sun
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Tracing Process Alignment in Human-AI-Human Learning: A Learning Analytics Case of GenAI-Assisted Preparation and Peer Feedback
27-36
Wenting Sun
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When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration
37-47
Célina Treuillier,
Denis Lalanne
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Using Learning Analytics to Support Secondary School Students' Writing with Generative AI
48-57
Ho Yin Fong,
Chun Lai,
Xinyu Li,
Carol K. K. Chan,
Dragan Gašević,
Xiao Hu
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EduEVAL-DB: A Role-Based Dataset for Pedagogical Risk Evaluation in Educational Explanations
58-68
Javier Irigoyen,
Roberto Daza,
Aythami Morales,
Julian Fierrez,
Francisco Jurado,
Alvaro Ortigosa,
Ruben Tolosana
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Using Learning Analytics to Unpack Human–AI Roles in Generative AI Math Tutoring
69-76
Lynne Harden,
Akila Raoul,
Rebecca McGill-Wilkinson,
Amber Wang,
Katie Boody Adorno,
John Scianimanico
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Learning Analytics for GenAI Augmented Collaborative and Dialogic Educational Approaches: A Generativity Theory Perspective
77-80
Yoram M. Kalman,
Yun Wan
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Scaffolding Cognitive Friction for Learning with Generative AI
81-84
Aditya Johri
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Investigating the Role of Chatbots in Facilitating Learning Design
85-92
Shan Tang,
Jie Shen,
Jionghao Lin,
Nancy W. Y. Law
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Ask Better, Learn Better: An Adaptive Metacognitive Support System for Enhancing Student Prompting with LLMs
93-96
Olga Viberg,
Selma Ozdere,
Richard Lee Davis,
Jacqueline Wong
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"I know when students need more practice": Teachers' use of genAI and learning analytics
97-100
Sarah Howard,
Jo Tondeur,
Bronwen Swinnerton,
Catherine Bell,
Antonio Bucchiarone
Second Workshop on Hybrid Intelligence in Learning Analytics: Human–AI Collaboration and Learning (HYBRID 2026)
Organising Committee:
Andy Nguyen (University of Oulu),
Sanna Järvelä (University of Oulu),
Kshitij Sharma (Norwegian University of Science and Technology),
Michail Giannakos (Norwegian University of Science and Technology),
Alyssa Wise (Vanderbilt University),
Carolyn Rose (Carnegie Mellon University),
Mutlu Cukurova (University College London),
Lixiang Yan (Tsinghua University),
Luna Huynh (University of Oulu).
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Preface to HYBRID 2026
101-102
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Surfacing Tacit Reasoning: A Methodological Approach to Tracing Teacher–AI Complementarity Through PID, TPACK, and SRL
103-112
Alice Aaviksoo,
Reet Kasepalu,
Jörgen Ivar Sikk,
Kairit Tammets
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Using RE-LLM Coding Uncertainty to Resolve Codebook Ambiguities: An Example of the CLARIFY Toolset and Workflow in Action
113-122
Fanjie Li,
Madison Lee Mason,
Daniel T. Levin,
Alyssa Friend Wise
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Technostress in Hybrid Intelligence: A Mixed-Methods Study of Human-AI Teaming in Higher Education
123-131
Boshra Najari,
Nguyen-Ai-Thu Duong,
Guoying Zhao,
Andy Nguyen
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How assessment rubrics reshape engagement networks in AI-assisted academic writing
132-143
Nguyen-Ai-Thu Duong,
Belle Dang,
Luna Huynh,
Andy Nguyen
First International Workshop on Advancing AI Literacy with Learning Analytics (AI-LIT 2026)
Organising Committee:
Yueqiao Jin (Monash University),
Yizhou Fan (Peking University),
Yuan Shen (Zhejiang University of Technology),
Lixiang Yan (Tsinghua University),
Yuheng Li (The Hong Kong Polytechnic University),
Shan Zhang (University of Florida),
Mohammad Khalil (University of Bergen),
Thomas K. F. Chiu (The Chinese University of Hong Kong),
Davy Tsz Kit Ng (The Education University of Hong Kong),
Mutlu Cukurova (University College London).
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Preface to AI-LIT 2026
144-145
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Evaluating Learner Competency in GenAI-Enhanced Learning: A Framework for Process-Oriented Assessment of Human-AI Collaboration
146-155
Chathura K. Sooriya-Arachchi
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How Professional Identity Drives AI Readiness in TCM Students: The Mediating Mechanism of Learning Engagement
156-164
Xinyi Li,
Shuangqing Zhai,
Nan Jiao,
Na Yuan,
Yu Liu
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Measuring AI Literacy Among Medical Students: An Item Set
165-169
Weiguang Wang,
Shuangqing Zhai
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Tracing GenAI Literacy: Uncovering Student-AI Interaction Patterns in Academic Writing through Epistemic Network Analysis
170-174
Angxuan Chen,
Jiyou Jia
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What should we measure in AI literacy education?
175-183
Ayaz Karimov
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Revisiting the Role of Learning AI Principles in Moving Students Beyond Anthropomorphic Thinking
184-189
Hagit Gabbay,
Ronit Halstuch,
Ruth Ston,
Ido Roll,
Yael Shwartz,
Giora Alexandron
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Contextualizing Multidimensional AI Literacy for Learning Analytics
190-193
Laura K. Allen,
Panayiota Kendeou