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.
Potential References:
- The AI Work of Art in the Age of Its Co-Creation
- … Investors?”: Comparison Between Investors and Non-Investors of Blockchain Technologies, Cryptocurrencies, and Non-Fungible Tokens (NFTs) in AI-Driven …
- Investigating on line market consumer behaviour through spatial, big data and machine learning approaches: cases in Daigou, e-commerce platform and NFT crypto …
- Exploring blockchain-based metaverses: Data collection and valuation of virtual lands using machine learning techniques
- The role of digitalization in today’s art: A perspective from NFT and artificial intelligenc
