How to use data analytics to know whether students are learning (or not) online

Deciphering tons of information and learner data can be an overwhelming task for institutions. What they need is the ability to quickly find meaning in the available data and automate the delivery of the right information to the right person at the right time, from the learner, through to the educator.

With the help of predictive analytics, it is important to find innovative ways that assist students to learn effectively and help the faculty make the appropriate decisions about what content or course is working well with their students.

Through this 30-min webinar on-demand session, our expert guides you through the importance of data analytics and briefly covers:

• Differences between the online and face-to-face teaching modes
• Analysing student behaviour patterns to make well-informed decisions through a learning management system (LMS)
• Real-time analytics and dashboards to monitor and measure class progress and individual learner performances

You may also be interested in our other webinar session on Personalised Learning after watching this.