Conference Tracks
The Exeter-HADGL Conference is organised around six core tracks that reflect its commitment to human-centred design, digital education excellence, and global learning. These tracks remain stable across years while engaging with the annual theme.
Track 1: Human-Centred Generative AI and Hybrid Intelligence
This track explores how generative AI and hybrid human-AI systems can be designed to support learning while preserving agency, transparency, and trust. Topics include co-creation with AI, explainability, human-in-the-loop systems, and the impact of GenAI on cognition and higher-order thinking.
Track 2: Online Programme Design, Assessment, and Academic Integrity
Focusing on fully online and blended education, this track addresses curriculum design, assessment innovation, feedback, quality assurance, and integrity in AI-enabled learning environments. Contributions grounded in large-scale online programmes and professional education are particularly welcome.
Track 3: XR, Immersive, and Game-Based Learning
This track covers the design and evaluation of immersive technologies, including virtual reality, augmented reality, simulations, and serious games. Emphasis is placed on human-centred interaction, accessibility, learning effectiveness, and ethical immersive design.
Track 4: AI Literacy, Teacher Development, and Curriculum Innovation
This track examines how educators and learners develop AI literacy across educational levels. Topics include teacher professional development, curriculum frameworks, computational thinking, and preparing learners for AI-enabled futures.
Track 5: Inclusion, Accessibility, and Responsible AI in Education
Addressing equity at the core, this track focuses on inclusive design, accessibility, disability, culturally responsive pedagogy, and responsible AI practices. Submissions highlighting Global South contexts or marginalised learner populations are strongly encouraged.
Track 6: Learning Analytics, Smart Learning Environments, and Student Success
This track explores data-informed approaches to supporting learning, including learning analytics, smart learning environments, early-warning systems, and evidence-based student support. Ethical data use and human-centered interpretation are central concerns.
Cross-Cutting Focus
Across all tracks, the conference welcomes work that addresses:
- Ethical and responsible AI
- Global and cross-cultural perspectives
- Evidence-to-practice translation
- Sustainability and scalability in digital education