Potential Abstract:
This study delves into the intersection of authentic meanings and commons-based peer production within the context of synthetic regimes in educational settings. Drawing upon theories of authenticity and peer production, as well as insights from the field of artificial intelligence, this research examines how the collaborative creation of knowledge in digital environments can lead to the construction of authentic meanings. Specifically, we investigate how the principles of commons-based peer production, characterized by open participation, transparency, and collective ownership, influence the authenticity of the knowledge produced. Furthermore, we explore the role of synthetic regimes, which are algorithmic systems that regulate and optimize the collaborative processes in peer production platforms, in shaping the authenticity of the produced knowledge. Through a mixed-methods approach that combines qualitative analysis of online interactions and quantitative assessment of content creation, this study aims to provide a nuanced understanding of how authentic meanings emerge and evolve in the context of commons-based peer production under synthetic regimes. The findings from this research have implications for educators, policymakers, and platform designers seeking to enhance the quality and authenticity of knowledge creation in digital learning environments.
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