Posted by: Erika Beljaars-Harris, Educational Developer, Learning and Teaching, College of Design and Social Context, RMIT University.
Ever heard of the term ‘Learning Analytics’? If you haven’t, then you will. The 2013 Horizon Report describes it as the “[f]ield associated with deciphering trends and patterns from educational big data, or huge sets of student-related data, to further the advancement of a personalized, supportive system of higher education.” What does this all mean? It means that we can gather student data to uncover trends, patterns and issues. It’s what we do with that data and how we can support the student that is the key.
For example, in Blackboard you can access the ‘Performance Dashboard’ (from the Control Panel) to ascertain when a student last entered the course and drill down to the exact date and time they entered. As an instructor you can also view the last date and time that you accessed the course. This means that you (as an instructor) can confirm the amount of interaction the student is having with the online course. As I am a Blackboard gal, I presume that this is all possible with other learning management systems (LMS). Regardless of what LMS you use, there is already the capacity to obtain some basic data on students and instructor navigation within an online course.
Useful? You betcha. Think of it this way, you are able to determine those students who have not accessed the course in the first week, this is a red flag. One possible intervention method is to contact the student and notify them that they haven’t accessed the course and you want to ensure that they are not having any technical issues, access issues, or any other issues. Then, the student emails you back with ‘thanks for your email I had problems accessing my course as I am located in a remote part of Australia/America/Afghanistan’ (wherever). Problem solved.
And this is only the beginning of what learning analytics can do. It can predict the learning route of a student, it can assist in personalising the student’s learning, and it can recommend and apply interventions. As an instructor (with some setup) Blackboard can present the results of your assessment with full item analysis, meaning that you can look at what aspects of a course or topic your cohort found difficult and what they have mastered. You can use this data to modify your teaching after (or even during) the semester.
There are already criticisms to learning analytics including: ethical issues on the collection of data, who owns the data, the sharing of data, privacy and legal issues too. These are all valid concerns that need to be navigated carefully. Regardless of the route, learning analytics is here, and it’s only gaining ground.
If you’re still not quite sure what learning analytics is, take a look at the infographic “Learning Analytics” produced by Open Colleges. It provides an excellent breakdown of what it is. If you still have more question, as we all do. Try www.educause.edu and do a search on learning analytics. You will find plenty of resources.
Horizon Report. 2013 Higher Education Edition. Retrieved from http://net.educause.edu/ir/library/pdf/HR2013.pdf
‘Learning Analytics 101. Leveraging Educational Data.’ Open Colleges. Retrieved from http://net.educause.edu/ir/library/pdf/HR2013.pdf
Share your thoughts on learning analytics in the comments!
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