Enhancing Mediated Learning through NFTs and Machine Learning: A Conversation Analysis

Potential Abstract:
In this study, we investigate the potential of incorporating Non-Fungible Tokens (NFTs) and machine learning techniques to enhance mediated learning experiences in educational settings. Mediated learning, a concept rooted in Vygotsky’s sociocultural theory, emphasizes the role of mediation in facilitating learning processes. Recent advancements in technology, particularly the rise of NFTs and machine learning algorithms, offer new opportunities to augment the mediated learning environment. Through a conversation analysis approach, we examine the interactions between students, educators, and digital agents in a simulated classroom setting where NFTs and machine learning models are integrated. We explore how these technologies mediate learning processes, shape student engagement, and influence knowledge construction. Our findings suggest that the combination of NFTs and machine learning tools can personalize learning experiences, provide real-time feedback, and foster collaborative knowledge creation. Moreover, the analysis sheds light on the complexities and nuances of human-machine interactions within the educational context. This study contributes to the ongoing discourse on leveraging emerging technologies to enhance mediated learning and create more dynamic and interactive educational environments.

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