Intelligent Tutoring System for Learning Digital Systems on MOOC Environments
David Bañeres, Joaquín Saiz · 2016
The number of Massive Open Online Courses (MOOCs) has increased exponentially in the last years in all areas of knowledge. Some of these courses require that the learner has to acquire practical skills. This is a challenge for a MOOC since scalable new methodologies and tools have to be developed to teach and assess these skills. This paper presents an intelligent tutoring system (ITS) adapted for a MOOC to learn digital systems design. Learning this skill has several difficulties mostly for novice learners in the area of Computer Science or Electronic Engineering specialties. The problem aggravates on virtual environments without face-to-face interaction with the instructor. ITSs are suitable for MOOC environments since they promote the self-learning process and they improve the support to personalized feedback.