Understanding Students’ Learning Experiences through Mining User-Generated Contents on Social Media
Understanding Students’ Learning Experiences through Mining User-Generated Contents on Social Media
This paper presents a work of mining informal social media data to provide insights into students’ learning experiences. Analyzing such kind of data is a challenging task because of the data volume, the complexity and diversity of languages used in these social sites. In this study, we developed a framework which integrating both qualitative analysis and different data mining techniques in order to understand students’ learning experiences.