Vol-4268
urn:nbn:de:0074-4268-x




LAK-WS 2026
Joint Proceedings of the LAK 2026 Workshops


The Joint Proceedings of The Third International Workshop on Generative AI and Learning Analytics (GenAI-LA), Second Workshop on Hybrid Intelligence in Learning Analytics (HYBRID), and First International Workshop on Advancing AI Literacy with Learning Analytics (AI-LIT)
co-located with the 16th International Conference on Learning Analytics and Knowledge (LAK 2026)

Bergen, Norway, April 27 – May 1, 2026.


Edited by

Lixiang Yan 1
Yueqiao Jin 2
Andy Nguyen 3
Yuheng Li 4
Luna Huynh 3
Wanruo Shi 1
Ryan Baker 5
Mutlu Cukurova 6
Dragan Gašević 2
Nancy Law 7
Sanna Järvelä 3
Kshitij Sharma 8
Michail Giannakos 8
Alyssa Wise 9
Carolyn Rose 10
Yizhou Fan 11
Yuan Shen 12
Shan Zhang 13
Mohammad Khalil 14
Thomas K. F. Chiu 15
Davy Tsz Kit Ng 16

1 Tsinghua University, School of Education, China
2 Monash University, Faculty of Information Technology, Australia
3 University of Oulu, Faculty of Education and Psychology, Finland
4 The Hong Kong Polytechnic University, Department of Applied Social Sciences, Hong Kong SAR, China
5 Adelaide University, School of Education, Australia
6 University College London, UCL Institute of Education, United Kingdom
7 The University of Hong Kong, Faculty of Education, Hong Kong SAR, China
8 Norwegian University of Science and Technology, Faculty of Information Technology and Electrical Engineering, Norway
9 Vanderbilt University, Department of Teaching and Learning, United States
10 Carnegie Mellon University, Human-Computer Interaction Institute, United States
11 Peking University, Graduate School of Education, China
12 Zhejiang University of Technology, College of Education, China
13 University of Florida, College of Education, United States
14 University of Bergen, Centre for the Science of Learning & Technology (SLATE), Norway
15 The Chinese University of Hong Kong, Department of Curriculum and Instruction, Hong Kong SAR, China
16 The Education University of Hong Kong, Department of Mathematics and Information Technology, Hong Kong SAR, China





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).

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).

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).


2026-07-15: submitted by Yuheng Li, metadata incl. bibliographic data published under Creative Commons CC0
2026-09-18: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|