Architectural approach for automatic follow up of learning activities in massive open online courses

Abstract

Currently it has been generated great interest in the massive open online courses, because they are consider as an “educational revolution”, since they are presented as a solution to the growing demand for higher education both in Colombia and in the world. Their main objective is to achieve a high volume of participants, allowing a global reach and a more participative learning. However, as advantages arise due to their massiveness, a number of problems or challenges are also generated. One of the main difficulties that characterize this type of courses is the lack of a suitable relationship between tutor and students, since it is impossible that tutors have a personal relationship with each of the thousands of participants. Therefore certain types of activities such as assessment and monitoring get more difficult impacting the quality of learning. In this article, it is proposed an architectural approach for tracking learning activities, which is intended to improve tutor-student relationship in an environment of massiveness to maximize the quality of learning in massive open online courses.