The theme, “The Science of Learning in an AI-Driven, Multi-Intelligent World,” reflects the realities of education in a time shaped by technological acceleration, increasing learner diversity, and rising complexity. In a BANI world, educators are challenged not merely to keep pace with change, but to respond with discernment, adaptability, and a sound understanding of how learning actually happens.

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The theme positions the learning sciences as an important anchor in this context. As AI transforms the production and use of knowledge, the conference highlights the continuing importance of evidence-informed teaching, durable learning, productive dialogue, and emotionally safe environments for learning. This is reflected across the keynote programme: one keynote explores whether effective learning strategies still matter in the age of generative AI; another examines how collaboration and AI can strengthen dialogic teaching; another addresses how anxiety and students’ self-perceptions shape learning; and another argues that the future of schools remains fundamentally human, even in an AI-rich landscape.

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At the same time, the theme recognises that education in an AI-driven world must remain deeply human. While technology may expand access, efficiency, and feedback, it cannot replace the professional judgement, relational sensitivity, and ethical responsibility required of educators and leaders. The conference therefore invites participants to explore how research-informed teaching and leadership can support meaningful learning, respond more intentionally to learner variability, and strengthen educational practice across schools and institutes of higher learning. 

Ultimately, the theme calls for an education that is not merely reactive to change, but thoughtfully grounded in research, responsive to complexity, and committed to helping learners thrive in a world that is continually being reshaped.

 

Key Competencies: What Will Participants Gain From This Conference?
Participants will have the opportunity to strengthen their ability to:

• exercise evidence-informed professional judgement in teaching and learning

• design learning more intentionally in an AI-driven educational environment

• foster deeper thinking through purposeful dialogue and classroom discourse

• support diverse learners with greater responsiveness and sensitivity

• lead learning in ways that are reflective, humane, and future-ready