Using High Level Activities Net for Learning Analytics of Instructional Design

Abstract

Instructional Design (ID), essential in distance learning, is the planning and sequencing of activities in a course. The High Level Activities Net (HLAN) is a net structure for designing and controlling the learning process. From the net formed it is possible to monitor students in run-time and to obtain information that helps both the improvement of the Instructional Design and students learning by means of Learning Analytics. This paper briefly introduces the HLAN and presents an investigation with 17 classes of a distance course, with a total of 673 students. Based on the information obtained by means of Learning Analytics, we observed the relationship between the students performance (with respect to his/her scores), the identification of modules of the course that must be analyzed and adapted regarding the degree of quality and difficulty demanded, and also a weak relationship between the number of accesses to a course and the student's performance.