Learning analytic in a smart classroom to improve the eEducation

In this paper, we propose learning analytic tasks to understand the learning process in a smart classroom. Learning analytics can extract knowledge from a course to better understand students and their learning processes. The learning analytic tasks must evaluate different aspects in the course: the teaching and learning process, the student performance, and the pedagogical practices, among other things. In this paper, we show the power of the learning analytic in a smart classroom in an example. Specifically, we define a set of learning analytic tasks to analyze the evaluation process in a smart classroom, based on the score of the students, the skills developed by the students, the behavior in the assessment questions, etc. We have used different data mining techniques to develop the LA tasks.