From Nodes to Knowledge: Exploring Social Network Analysis in Education

Abstract

In the evolving education landscape, this survey investigates the integration and transformation of educational paradigms using social network analysis (SNA). This article examines the fundamentals of SNA, including nodes, edges, centrality metrics, and network dynamics, for a comprehensive understanding of the education domain. It guides researchers through various applications of SNA in education, such as student-teacher networks and institutional collaborations, highlighting the advantages and challenges of these complex interactions. The article assesses the methodologies used in educational SNA, including data collection strategies and the associated ethical considerations. The survey also discusses various case studies and applications where SNA facilitates well-informed decision-making, enhanced academic collaboration, and the evaluation of student performance. This article focuses on the transformative potential of SNA and acknowledges the limitations, ethical dilemmas, and technological challenges in the field. It concludes with a forward-looking perspective on the future of SNA in education, showcasing supportive technological advancement. This survey highlights the evolution of SNA since its incorporation into educational research and practices.