What is Learning Analytics?
According to the NMC Horizon Report: 2013 Higher Education Edition, Learning Analytics is the process of analyzing and deciphering large amounts of data to develop a better sense of student performance and interaction, for the purposes of enhancing educational practices and techniques.
Similar to how big businesses analyze large amounts of user data to find relevant market trends, Learning Analytics will allow educational institutions to gain a valuable insight in student activity and behavior, in order to provide the most effective, relevant, and useful pedagogical techniques possible for students.
The Current State of Learning Analytics
Only recently gained wide-spread support among data scientists and education professionals
Universities, including Purdue, and companies, such as Pearson, Blackboard, Canvas, Desire2Learn, and CourseSmart, have developed their own system of analytics
Privacy has become an issue, due to universities having access to large amounts of student data
Inaccurate data collecting and student profiling could potentially cause problems for instructors when assessing student performance
Learning Analytics, in general, may create a shallow perception on learning and education for instructors and education professionals
It will take 2-3 years for people to adopt Learning Analytics, according to the Horizon Report
Canvas has its own learning analytics feature that allows you to view a student's behavior and activity while they are taking your course.
Information, such as your course activities on a day-by-day basis, the percentage of students that have turned in an assignment, the distribution of grades for each assignment, and other important and relevant information are all available in your course analytics. Other information about how many page views a student has produced on a particular day and what actions they performed within the course are also accessible.
Click here to learn more about Canvas' course analytics feature.