by onlinelearninginsights
Online learning is dynamic, active, at times disorganized, yet with the effective use of tools, instructors can adapt and adjust instruction to create a rich learning experience. This is part two in a three-part series on learning analytics. Learning analytics is a powerful tool that can help instructors adapt their course to create an engaging, robust learning environment. Analytics, the newest tool to improve student learning, is a branch of the latest application of Big Data, used exclusively at one time for big-box retailers such as Wal-Mart, Home Depot and Fortune 500 companies, has now become mainstream in education. Learning analytics in the education sector collects data whenever students log-on to their institutions learning management platform [LMS] such as Blackboard or Moodle. Each student click known as a ‘view’ in Moodle, is associated with a time stamp, a record of the time students spent with each resource. Analytics involves the mining of data, analysis and reporting, which creates [potentially] useful information about student learning.
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