We aren’t saying your LMS analytics are bad…

Previously, we did a post on our new active tab feature as we call it, but it’s more than that. It shows you how skewed the data in your LMS analytics actually is.

Bold statement, that’s for sure, but we will stand by it. If you watch our CEO, Ross Jones  below in the video, then you can see why.

 

 

OK, so I suppose we are saying your LMS analytics are bad, or should we rephrase that. Not as representative as they should, or could be. As Ross mentioned in the video, you want to take action based on your analytics, this is why you have them. You want to understand more about your students and your content, but if the data you’re acting on isn’t really representative of the situation, then what are you acting on?

When you look at the data you’re capturing, whether you use emotuit or not (you should though, obviously), you need to ensure that you are collecting accurate data from your students.

Yes, time spent within the course isn’t going to tell us if the student is learning or not, it’s not a single data point that can determine this. But it is a data point where currently it’s being misrepresented with potentially inaccurate data. So, if you are going to use a data point, let’s make sure it’s right.

Analytical Analytics

At every step of the analytical journey we are doing what we can to make sure that we provide as much information about that student as an individual as we can. So that when you act on data, you’re using data with integrity. Our aim is to bring more understanding of your students and your courses to you, using information that represents each individual student.

Let us know YOUR thoughts.

 

-emotuit