Sub-Theme 2

AI, Data, Immersive Learning, and the Evolution of Learning

AI is transforming learning, training, assessment, and decision-making. Learning analytics and adaptive systems are enabling new approaches to individual and organisational growth, providing real-time data insights that support curriculum development, learner engagement, and workforce training. AI-driven feedback and adaptive learning systems are delivering increasingly personalised experiences, but ethical concerns around data privacy, learner autonomy, and transparency are intensifying as institutions expand data-driven strategies.  

The integration of multimodal learning - text, audio, images, and video - is redefining teaching methodologies, while AI-powered learning assistants are shaping instructional design and real-time learning support. AI’s role in assessment is growing, leveraging natural language processing, automation, and advanced reasoning models. The impact of generative AI on research, learning materials, and academic publishing is reshaping knowledge production, prompting discussions about credibility, authorship, and the evolving nature of expertise in education.  

AI’s influence on workforce learning raises questions about whether L&D will remain human-led or shift towards AI-driven models. Immersive technologies such as Virtual Reality (VR) and Augmented Reality (AR) are creating new opportunities for experiential learning. Participants seek practical examples of successful AI, data-driven decision-making, and immersive technology implementation in both education and training.