Learning Analytics and Learner Activity

While data from a Learning Management System (LMS) can tell you about assessment scores and percentage completions, it can also tell you a lot about your learners, the content and their interplay. To get performance insights of your platform and the learning content, you must identify different data points, fetch the data, analyze and interpret it. Learner proficiency, Learner engagement, Learner preferences and Learner progress are some metrics that are computed by combining several data. Some examples of data that you collect from a learning platform are Clicks, Pages visited, Time spent, Search keywords, etc. There are some metrics that are directly connected to learner activity and we will look at those in this post.

Structural Complexity of e-learning modules

The general belief is that interactive content improves engagement. The truth is, it depends on the learner profile. Factors that define the learner profile include age, gender, education, region, industry, experience, likes and dislikes, beliefs, etc. All these factors must be taken into account when conducting a training session or developing an e-learning course. A trainer or an instructional designer determines the amount of interaction needed in an e-learning course.