Exploring the Role of Social Media in Education through Web Mining: Insights into Student Engagement and Behavioral Trends

This research paper explores the application of web mining techniques to analyze how students engage with social media platforms. These studies demonstrate that online communities are valuable data sources which provide rich, longitudinal data that would otherwise be difficult, if not impossible to access. Using a combination of data mining, sentiment analysis, and network analysis, this study investigates patterns in students' social media usage, focusing on platforms such as Facebook, Instagram, and Twitter. In this paper, we developed a workflow to integrate both qualitative analysis and large-scale data mining techniques. Additionally, the paper examines how student interactions on social media reflect their social networks, interests, and attitudes toward education. By leveraging web mining techniques, the study provides insights into the evolving role of social media in students' lives, offering valuable recommendations for educators and stakeholders to enhance student engagement and learning experiences in the digital age.