(Gen)AI-TEL – (Generative) Artificial Intelligence in Technology-Enhanced Learning

1st International Symposium on (Generative) Artificial Intelligence in Technology-Enhanced Learning

This symposium examines how Artificial Intelligence, in general, and Generative AI, in particular, are transforming the research and application area of Technology-Enhanced Learning (TEL).
The focus is on the use of Language Models, with Large Language Models used in TEL to promote learning in fields such as Intelligent Tutoring Systems, computation and use of Learning Analytics, Adaptive Systems, and data-informed educational practice.
It brings together research addressing design, evaluation, ethics, and governance of (Gen)AI-mediated learning environments, bridging technical innovation with pedagogical and societal considerations.
Topics of interest are as follows:

•  Design & Learning Experience 
  • Generative AI for learning design, content creation, and curriculum support
  • Adaptive and personalised learning systems powered by generative models
  • Human–AI collaboration in teaching, learning, and assessment
  • Intelligent tutoring systems and AI-supported feedback mechanisms
  • AI-supported assessment design and formative feedback
  • Learning design for AI-mediated and hybrid learning environments
• Analytics & Methods 
  • AI-driven learner modelling, profiling, and prediction
  • Learning analytics for evaluating AI-mediated learning experiences
  • Integration of generative AI with learning analytics pipelines
  • Multimodal learning analytics (text, audio, video, interaction data)
  • Analytics-informed prompt engineering and adaptive content generation
  • AI-assisted learning interventions and impact evaluation
  • Methodological challenges in studying AI-mediated learning
• Ethics, Governance & Trust 
  • Responsible, ethical, and trustworthy AI in learning environments
  • Explainable and interpretable AI for educational decision-making
  • Bias, fairness, transparency, and accountability in generative AI systems
  • Data governance, privacy, and regulatory challenges in AI-driven learning
  • Learner agency, consent, and control in AI-mediated education
  • Academic integrity and the ethical use of generative AI
• Practice, Policy & Deployment
  • Learning dashboards and visual analytics for AI-enhanced education
  • Institutional adoption and pedagogical transformation
  • Policy implications of generative AI in education
  • Case studies and real-world deployments of AI in learning contexts
  • Professional development for educators using generative AI
  • Futures of learning analytics in the age of generative AI

Submissions may include empirical studies, theoretical contributions, methodological advances, design-based research, system descriptions, and reflective case studies that advance understanding of the role of (generative) artificial intelligence in technology-enhanced learning.

Please check the submission procedures @ the submission page.

Important dates for this symposium:
– Submission Deadline: May 10th, 2026
– Notification of the review result: June 1st, 2026 (Instructions will be sent to accepted authors)
– Please notice that early registration closes  June 1st, 2026
– Camera-ready submission: June 15th, 2026

General enquiries and submissions should be addressed to the Conference Co-ordinator.