Smart Learning

Abstract

This is the first occasion Smart Learning track is included in TEEM Conference. Our current digital society faces challenges as preparing our students for an uncertain and changing environment. Learning systems based on technology, adapted to the different learning needs, learning styles and learning rhythms, and personalized for our learners, could be a solution to this problem. It is what is called Smart Learning. The contributions to this track cover aspects such as the orchestration of Smart Learning Environments with the support of learning analytics and the Internet of Things, the estimation of the difficulty of learning activities, the use of decision support tools to make systematic searches, or one experience of gamification. These works show the diversity of the discipline and the extent of the research that remains to be done.