This document discusses the use of learning analytics in massive open online courses (MOOCs). It provides 5 case studies that analyzed learning analytics data from MOOCs to gain insights. The studies found that dropout rates alone do not capture student behavior, patterns in forum discussions and video interactions can reflect learning, and students learn best when videos are supplemented with other activities. The document also notes challenges of learning analytics including privacy, security, transparency and accuracy of personal data. In conclusion, it suggests MOOCs can be improved by combining them with learning analytics to better understand student learning patterns.
Related topics: