Understanding Students’ Learning Experiences through Mining User-Generated Contents on Social Media

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Understanding Students’ Learning Experiences through Mining User-Generated Contents on Social Media

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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.

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