Potential Abstract: This research study explores the dynamics of participation in gamefied conversations within educational settings using social network analysis. The focus is on examining how individuals with varying levels of experience and expertise engage in discussions within a gamefied context, particularly looking at the interactions between naive participants. The concept of “naive participation” refers to individuals who are new to a specific topic or domain and may lack prior knowledge or experience in the subject matter. By applying social network analysis techniques to the communication patterns and interactions within these gamefied conversations, this study aims to uncover insights into how naive participants navigate and contribute to the discourse.
Through the analysis of data collected from online learning platforms and discussion forums, this study will investigate the structural properties of the social networks formed during gamefied conversations. By examining factors such as network centrality, information flow, and clustering of interactions, this research seeks to shed light on the role of naive participants in shaping the overall engagement and knowledge sharing within educational contexts that incorporate gamification elements. The findings from this study are expected to provide valuable implications for designing effective learning environments that promote inclusive participation and meaningful interactions among diverse groups of learners.
Potential References:
- A personalized gamification method for increasing user engagement in social networks
- Social network analysis of a gamified e-learning course: Small-world phenomenon and network metrics as predictors of academic performance
- The Impact of Gamification on Socio-technical Communities: A Case for Network Analysis.
- An approach for planning and deploying gamification concepts with social networks within educational contexts
- Gamifying massive online courses: Effects on the social networks and course completion rates
