What predicts student satisfaction with MOOCs: A gradient boosting trees supervised machine learning and sentiment analysis approach

Volume: 145, Pages: 103724 - 103724
Published: Feb 1, 2020
Abstract
This study defines MOOC success as the extent of student satisfaction with the course. Having more satisfied MOOC students can extend the reach of an institution to more people, build the brand name of the institution, and even help the institution use MOOCs as a source of revenue. Traditionally, student completion rate is frequently used to define MOOC success, which however, is often inaccurate because many students have no intention of...
Paper Details
Title
What predicts student satisfaction with MOOCs: A gradient boosting trees supervised machine learning and sentiment analysis approach
Published Date
Feb 1, 2020
Volume
145
Pages
103724 - 103724
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