Enhancing Peer Influence in STEM Learning and Engagement through Social Media Interactions Using Network Science Principles

Abstract

with a solid background in Civil Engineering (Transportation), Network Science, and Social Science. Dr. Sadri specializes in resilience engineering, evacuation modeling, shared mobility, social influence modeling, machine learning, agent-based modeling, and network modeling. Dr. Sadri's research focuses on the critical interdependence between social and infrastructure networks and integrates human proactive decision-making components into the civil infrastructure management challenges. Dr. Sadri develops human-centered and network-driven techniques that complement to the science of infrastructure resilience and sustainability.

Exploring the Use of Social Media in Engineering Education—Preliminary Findings from a Systematic Literature Review

“…The data analysis of the reviewed articles demonstrates the importance of network data analysis in the social media learning environment. More research is needed in this space that uses network data analysis to obtain detailed insights from participants' interaction data, as this approach can provide a deeper understanding of the complex dynamics of social media interactions [76]. Network data analysis involves the use of mathematical and computational tools to analyze social networks, such as the patterns of connections, communication flows, and information sharing among users.…”

Exploring the Properties and Growth of Student Interaction Networks on Twitter: Insights on STEM Learning and Engagement

“…Using an informal environment for educational experimentation may help integrating STEM formal learning environments [12]. Again, peer influence can greatly enhance STEM learning which can be achieved through social media [37].…”