LAK-WS 2026

Table of Contents

• 1-3 PDF
  
• Group Size Matters: Epistemic Network Analysis of GenAI's Impact on Collaborative Inquiry 4-16 PDF
  Shuang Wu, Shen Ba, Guoqing Lu, Xiao Hu
• From Log Data to GenAI Scaffolds: Annotation Design as a Lens for Learning Analytics in Human–AI Collaboration 17-26 PDF
  Wenting Sun
• Tracing Process Alignment in Human-AI-Human Learning: A Learning Analytics Case of GenAI-Assisted Preparation and Peer Feedback 27-36 PDF
  Wenting Sun
• When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration 37-47 PDF
  Célina Treuillier, Denis Lalanne
• Using Learning Analytics to Support Secondary School Students' Writing with Generative AI 48-57 PDF
  Ho Yin Fong, Chun Lai, Xinyu Li, Carol K. K. Chan, Dragan Gašević, Xiao Hu
• EduEVAL-DB: A Role-Based Dataset for Pedagogical Risk Evaluation in Educational Explanations 58-68 PDF
  Javier Irigoyen, Roberto Daza, Aythami Morales, Julian Fierrez, Francisco Jurado, Alvaro Ortigosa, Ruben Tolosana
• Using Learning Analytics to Unpack Human–AI Roles in Generative AI Math Tutoring 69-76 PDF
  Lynne Harden, Akila Raoul, Rebecca McGill-Wilkinson, Amber Wang, Katie Boody Adorno, John Scianimanico
• Learning Analytics for GenAI Augmented Collaborative and Dialogic Educational Approaches: A Generativity Theory Perspective 77-80 PDF
  Yoram M. Kalman, Yun Wan
• Scaffolding Cognitive Friction for Learning with Generative AI 81-84 PDF
  Aditya Johri
• Investigating the Role of Chatbots in Facilitating Learning Design 85-92 PDF
  Shan Tang, Jie Shen, Jionghao Lin, Nancy W. Y. Law
• Ask Better, Learn Better: An Adaptive Metacognitive Support System for Enhancing Student Prompting with LLMs 93-96 PDF
  Olga Viberg, Selma Ozdere, Richard Lee Davis, Jacqueline Wong
• "I know when students need more practice": Teachers' use of genAI and learning analytics 97-100 PDF
  Sarah Howard, Jo Tondeur, Bronwen Swinnerton, Catherine Bell, Antonio Bucchiarone
• 101-102 PDF
  
• Surfacing Tacit Reasoning: A Methodological Approach to Tracing Teacher–AI Complementarity Through PID, TPACK, and SRL 103-112 PDF
  Alice Aaviksoo, Reet Kasepalu, Jörgen Ivar Sikk, Kairit Tammets
• Using RE-LLM Coding Uncertainty to Resolve Codebook Ambiguities: An Example of the CLARIFY Toolset and Workflow in Action 113-122 PDF
  Fanjie Li, Madison Lee Mason, Daniel T. Levin, Alyssa Friend Wise
• Technostress in Hybrid Intelligence: A Mixed-Methods Study of Human-AI Teaming in Higher Education 123-131 PDF
  Boshra Najari, Nguyen-Ai-Thu Duong, Guoying Zhao, Andy Nguyen
• How assessment rubrics reshape engagement networks in AI-assisted academic writing 132-143 PDF
  Nguyen-Ai-Thu Duong, Belle Dang, Luna Huynh, Andy Nguyen
• 144-145 PDF
  
• Evaluating Learner Competency in GenAI-Enhanced Learning: A Framework for Process-Oriented Assessment of Human-AI Collaboration 146-155 PDF
  Chathura K. Sooriya-Arachchi
• How Professional Identity Drives AI Readiness in TCM Students: The Mediating Mechanism of Learning Engagement 156-164 PDF
  Xinyi Li, Shuangqing Zhai, Nan Jiao, Na Yuan, Yu Liu
• Measuring AI Literacy Among Medical Students: An Item Set 165-169 PDF
  Weiguang Wang, Shuangqing Zhai
• Tracing GenAI Literacy: Uncovering Student-AI Interaction Patterns in Academic Writing through Epistemic Network Analysis 170-174 PDF
  Angxuan Chen, Jiyou Jia
• What should we measure in AI literacy education? 175-183 PDF
  Ayaz Karimov
• Revisiting the Role of Learning AI Principles in Moving Students Beyond Anthropomorphic Thinking 184-189 PDF
  Hagit Gabbay, Ronit Halstuch, Ruth Ston, Ido Roll, Yael Shwartz, Giora Alexandron
• Contextualizing Multidimensional AI Literacy for Learning Analytics 190-193 PDF
  Laura K. Allen, Panayiota Kendeou