Abstract
This chapter is devoted to examining and reflecting on the importance of artificial intelligence techniques and technologies applied to the construction of intelligent learning environments (ILE), specially, for remote teaching and learning purpose. Their potential for educational purpose goes hand in hand with the vision of the education as a pilar for a sustainable future (e.g. UNESCO, 2014), which aims at designing cost-effective and at the same time quality teaching and learning opportunities for all students. Intelligent tutoring systems (ITS) cases will receive a special focus as their potential for personalization, adaptation to the student, and automatic recommendations based on the student's profile, comprising important features for fostering adaptive and autonomous learning paths. All those principles combined with AI contributions for ITS design will be pointed out. Finally, future research directions in the field of intelligent learning environments are figured out.
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