Predictive Analytics can take both past and current data and offer predictions of what could happen in the future. It is now desirable to go beyond descriptive analytics and gain insight into whether training initiatives are working and how they can be improved. With increasing pressure to show a return on investment (ROI) for implementing learning analytics, it is no longer enough for a business to simply show how learners performed or how they interacted with learning content. Predictive Analytics is a statistical method that utilizes algorithms and machine learning to identify trends in data and predict future behaviors.

To do this, learning analytics relies on a number of analytical methods: descriptive analytics, diagnostic analytics, predictive analytics, and prescriptive analytics. Learning Analytics is not simply about collecting data from learners, but about finding meaning in the data in order to improve future learning. Descriptive vs Predictive vs Prescriptive Analytics.Examples of how Predictive Analytics are being used in online learning.What are the benefits of using predictive analytics?.What does a business need to know before using predictive analytics?.Emotional intelligence in the workplace.

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