• Corpus ID: 219177253

Analyzing Student Strategies In Blended Courses Using Clickstream Data

  title={Analyzing Student Strategies In Blended Courses Using Clickstream Data},
  author={Nil-Jana Akpinar and Aaditya Ramdas and Umut Acar},
Educational software data promises unique insights into students' study behaviors and drivers of success. While much work has been dedicated to performance prediction in massive open online courses, it is unclear if the same methods can be applied to blended courses and a deeper understanding of student strategies is often missing. We use pattern mining and models borrowed from Natural Language Processing (NLP) to understand student interactions and extract frequent strategies from a blended… 

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