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AI-Enhanced Network Learning Theory Transforming Education Through Personalized, Inclusive, and Ethical Artificial Intelligence
Abstract
Artificial Intelligence (AI) is profoundly transforming education by enabling personalised learning and fostering inclusive access to knowledge. We have introduced AI-Enhanced Network Learning Theory (AI-NLT) that reconceptualises learning as the product of hybrid intelligence, emerging from the dynamic interaction between human cognition, artificial intelligence systems, and distributed digital networks. It emphasises six interrelated components: personalised and adaptive learning, collaborative connectivity, inclusive intelligence, emotional-cognitive support, feedback and co-creation, and ethical AI. Together, these dimensions illustrate how AI can tailor learning pathways, facilitate global collaboration, dismantle barriers to participation, support learner well-being, enable co-creation of knowledge, and uphold transparency and accountability. A case study on Collaborative Learning with AI Speakers (CLAIS) exemplifies human-AI co-construction of knowledge, highlighting both potential and limitations.
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