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Predicting Student Success Using Digital Textbook Analytics In Online Courses, Dustin Lee Williams

Doctoral Dissertations and Projects

In the digital era, students are generating and institutions are collecting more data than ever before. With the constant change in technology, new data points are being created. Digital textbooks are becoming more popular, and textbook publishers are shifting more of their efforts to creating digital content. This shift creates new data points that have the potential to show how students are engaging with course material. The purpose of this correlational study is to determine if digital textbook usage data, pages read, number of days, reading sessions, highlights, bookmarks, notes, searches, downloads and prints can predict student success. This study …