Understanding Roblox's business model and collaborative learning on participation in the decision-making process: implications for enhancing cooperative literacy

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Abstract

This study examines the robust relationships between Roblox's business model, collaborative learning, participation in the decision-making process, and cooperative literacy within the Indonesian Roblox community. All hypotheses were substantiated, emphasizing the significance of understanding the business model, promoting collaborative learning, and encouraging active in-volvement in decision-making activities for fostering cooperative literacy among players. The research employed an exploratory research design with a quantitative approach. Sampling bias and self-reported data are acknowledged limitations, along with the cross-sectional design's ina-bility to establish causality. To address these constraints, future research should employ longitu-dinal methods, diverse data collection approaches, and intervention studies. Cross-cultural research comparing the Indonesian Roblox community with other cultural contexts is also encouraged. Practical recommendations include integrating features that support collaborative learning and decision-making participation within the Roblox platform. Collaboration between educational institutions and Roblox to use the platform as an educational tool is suggested, offering students a unique opportunity to develop cooperative literacy skills. These findings offer valuable insights into cooperative literacy and community engagement within the Roblox ecosystem, providing a roadmap for its development. This research contributes to the platform's growth and success in Indonesia, making it a more cooperative and informed community.

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APA

Aliyyah, I. H., Basrowi, Junaedi, A., & Syahyuti. (2024). Understanding Roblox’s business model and collaborative learning on participation in the decision-making process: implications for enhancing cooperative literacy. International Journal of Data and Network Science, 8(2), 1247–1260. https://doi.org/10.5267/j.ijdns.2023.11.009

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