When you create environments with embedded learning analytics one of the main obstacles is having a good coding team that can back up your ideas with coding. You can have good ideas but it’s also important that the infrastructure helps out. Besides that, it’s also important to have a good team that can interpret the results in the best way so they can give out good information to understand the learning process of the students. One of the potentials is this is as close as we can get to a personalized education with a big group of students in a classroom. The student can understand exactly where they are lacking and what are their strong points, instead of just getting a grade. 

One example of a place using learning analytics is a southeastern university in the US that was featured in a study done by Florence Martin and Abdou Ndoye (Martin & Ndoye, 2016). The instructional technology course was taught for fifteen weeks and had seven modules. There were many instructional components, for example, an e-learning module, quizzes, and hands-on projects. Eighteen students participated in the online course.

Martin, F., & Ndoye, A. (2016). Using Learning Analytics to Assess Student Learning in Online Courses. Journal of University Teaching and Learning Practice, 13(3).