AIED 2026 Workshop:
From Assessment to Human–AI Co-Creation in Language Learning: Adaptive, Inclusive, and Game-Based Design in the Generative AI Era

1University of Sheffield, UK
2University of Alberta, Canada
3University of Luxembourg, Luxembourg
4Hosei University, Japan

Date and Time: TBD
Location: Seoul · Republic of Korea

About this Workshop

This half-day workshop explores how recent advances in generative artificial intelligence and large language models (LLMs) are transforming language learning systems. While earlier AI-driven educational technologies primarily focused on automated assessment and feedback, current developments increasingly emphasize human–AI co-creation, adaptive scaffolding, and inclusive learning experiences.

The workshop examines the transition from isolated AI tools toward integrated learning ecosystems in which AI augments human learning processes. It provides a systems-level perspective that connects automated assessment components—such as item generation, difficulty modelling, scoring, and feedback—with emerging paradigms in human–AI collaboration and game-based language learning.

Participants will gain an understanding of how generative AI can be incorporated into adaptive and inclusive educational environments while maintaining validity, reliability, and pedagogical alignment. The workshop combines conceptual explanations with demonstrations and interactive elements, offering practical insights into the design of learner-centred AI systems for language education.

Schedule

# Session Duration
1 Introduction: Language Learning in the Generative AI Era
Overview of the evolution of educational NLP and the shift from standalone tools to integrated adaptive learning ecosystems.
20 mins
2 Automated Assessment Pipeline
Discussion of automatic item generation, adaptive assessment delivery, and automated scoring and feedback.
60 mins
3 Human–AI Collaboration for Inclusive Education
Exploration of adaptive learning systems, scaffolding strategies, and a classroom-based case study.
45 mins
4 Game-Based Language Learning
Examination of large-scale platforms and self-built adaptive learning environments, including a live demonstration of GenQuest.
40 mins
5 Challenges and Future Directions
Discussion of risks, ethical considerations, and open research questions.
25 mins

Downloads

BibTeX

@inproceedings{aied2026_human_ai_language,
  title={From Assessment to Human–AI Co-Creation in Language Learning: Adaptive, Inclusive, and Game-Based Design in the Generative AI Era},
  author={Yuan, Zheng and Bulut, Okan and Geoffre, Thierry and Wang, Qiao},
  booktitle={Proceedings of AIED 2026},
  year={2026}
}