With predictive analytics, colleges and universities are able to “nudge” individuals toward making better decisions and exercising rational behavior to enhance their probabilities of success.
LMS Reporting is a crucial feature of any modern online course and it shows full advantage of Big Data nowadays. But admit it, just looking at figures and metrics is of little use.
The Experience API (xAPI for short) is far more than just an update to SCORM, the popular standard for tracking data from a learning management system. xAPI opens up a whole new world of possibilities for learning analytics. Examples of what real organizations are doing with it in real-life situations make it easier to grasp the scale of this advance and apply the learnings to your own situation.
Begona Nunez-Herran and Kevin Mayles (Data and Student Analytics), Rebecca Ward (Data Strategy and Governance), Prof Bart Rienties & PhD students (Institute of Educational Technology), Prof John Domingue (Knowledge Media Institute) & Dr Thea Herodotou (IET)
As part of a Title III federal grant awarded to Bay Path University, the institution has planned to create a predictive model for traditional undergraduate persistence and another for financial aid warning flags. This is final installment in a series of posts that follow the steps in the CRISP-DM framework on our journey to produce the former.