LBAA-ICCE2026: Workshop on Predicting Performance from Reading and Learning Behavior and Orchestrating Human and AI Agency -- Joint Edition@ICCE2026 Rydges Latimer Christchurch, New Zealand, November 30-December 1, 2026 |
| Conference web page | https://open-aied.github.io/LBAA-ICCE2026/#joint |
| Submission link | https://easychair.org/conferences/?conf=learningbehavioraiag0 |
Learning Behavior & AI Agency @ ICCE 2026 (short form: LBAA @ ICCE 2026) is a full-day, in-person joint workshop held at the 34th International Conference on Computers in Education (ICCE 2026) in Christchurch, New Zealand, under the conference theme "Reimagining Learning Ecologies in the Age of Intelligent Technologies."
It is a joint edition that merges two established workshop series:
- Predicting Performance from Reading and Learning Behavior — 9 prior editions at LAK
- Orchestrating Human and AI Agency (HAI-Agency) — held at AIED 2026
The two communities converge around one central design question: how can agentic AI use behavioral data to deliver proactive interventions while preserving learner agency and teacher professional judgement? The workshop bridges ICCE's sub-conferences on AIED/ITS (C1) and Advanced Learning Technologies and Learning Analytics (C3), and is organized around three thematic areas: Learning Analytics for Performance Prediction; Agentic AI for Proactive and Reflective Learning; and, at their intersection, Behavior-Informed Agentic AI Design. The program comprises a joint keynote, thematic paper sessions, and a concluding discussion on open problems and cross-community collaboration.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. All submissions must follow the ICCE 2026 paper template, and undergo single-blind review by at least two program committee members, assessed for quality, rigor, originality, relevance to the workshop scope, and ethical consideration. The following paper categories are welcome:
- Full Papers (8–10 pages including references) — comprehensive studies with complete methodology and findings.
- Short Papers (5–6 pages including references) — work-in-progress with preliminary results or novel concepts.
- Extended Summaries (3–4 pages including references) — perspectives, provocations, or emerging directions.
Accepted papers will appear in one volume of the workshop proceedings with an ISBN and will be indexed by the Elsevier Bibliographic Database; published papers will be made available on the official ICCE 2026 website. Submission portal: EasyChair (link TBA).
Important dates (Anywhere on Earth; tentative):
- Submission deadline — 11 August 2026;
- Review period — mid-to-late August 2026;
- Notification of acceptance — 1 September 2026;
- Camera-ready deadline — TBA;
- Workshop day — 30 Nov – 1 Dec 2026 (TBD).
List of Topics
Learning Analytics for Performance Prediction
- Student performance / at-risk prediction
- Reading-behavior self-regulation profiles across a course
- Preview, in-class, and review reading patterns
- Student engagement analysis and behavior change detection
- Visualization methods for meaningful stakeholder feedback
Agentic AI for Proactive and Reflective Learning
- Proactive and reflective learning, co-regulation, and learner agency
- Proactive/reflective prompts, scaffolds, and personalized interactions
- Teacher-facing design and human-AI co-orchestration
- Explainable, teachable, and designable AI systems
- Process-based and human-AI collaborative assessment
Behavior-Informed Agentic AI Design (at the intersection)
- Behavioral signals triggering proactive AI interventions
- Adaptive scaffolding informed by longitudinal learning traces
- Predictive models for calibrating agentic interventions
- Process mining of human-AI interaction
- Detecting AI overreliance and productive co-learning through interaction signals
Committees
Organizing Committee
- Gen Li — Assistant Professor, Kyushu University, Japan
- Li Chen — Lecturer, Osaka Kyoiku University, Japan
- Boxuan Ma — Assistant Professor, Kyushu University, Japan
- Huiyong Li — Assistant Professor, Kyushu University, Japan
- Yiling Dai — Assistant Professor, Hiroshima University, Japan
- Jingyun Wang — Assistant Professor, Durham University, UK
- Tsubasa Minematsu — Associate Professor, Kyushu Institute of Technology, Japan
- Brendan Flanagan — Professor, Ritsumeikan University, Japan
- Daisuke Deguchi — Associate Professor, Nagoya University, Japan
- Takayoshi Yamashita — Professor, Chubu University, Japan
- Atsushi Shimada — Professor, Kyushu University, Japan
- Hiroaki Ogata — Professor / President of APSCE, Kyoto University, Japan
Venue
The workshop will be held in person as a full-day session at ICCE 2026 (34th International Conference on Computers in Education), in Christchurch, New Zealand, on 30 November – 1 December 2026 (TBD).
Contact
All questions about submissions should be emailed to open.aied.community [at] gmail.com.
