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


  • Daniel Alberto Jaramillo Morillo Universidad del Cauca, Popayán
  • Mario Fernando Solarte Sarasty Universidad del Cauca, Popayán



Monitoring, MOOC, follow up, e-Learning.


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.

Author Biographies

  • Daniel Alberto Jaramillo Morillo, Universidad del Cauca, Popayán

    Engineer in Electronics and Telecommunications and candidate to Master in Telematics Engineering. Young researcher, member of Grupo de Ingeniería Telemática [GIT] at the Universidad del Cauca (Colombia). He served as a teacher by a working scholarship at the Telematics Department, on issues related to telecommunications networks. His research focus are tools and digital applications supporting teaching and learning online processes; currently he is investigating about indicators for automatic monitoring of learning activities of students participating in Massive Open Online Courses [MOOC].



  • Mario Fernando Solarte Sarasty, Universidad del Cauca, Popayán

    Full Professor of Department of Telematics at the University of Cauca. He is Engineer in Electronics and Telecommunications, Specialist in Project Formulation and Evaluation, Master in Engineering and Ph.D. candidate in Telematics Engineering (supported by a grant from Colciencias). Currently he investigates about automatic identification of learning styles and preferences, for adaptation to Massive Open Online Courses [MOOC], area corresponding to one of his major areas of interest: training processes supported by Internet technologies. 


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Discussion papers