New learning techniques and technologies cause a further increase in innovation in methodological areas in higher education. This chapter analyzes the most relevant innovation methodologies in educational fields through a systematic literature review. Afterwards, a classification is made in which they are divided according to their main characteristics in which the authors distinguish competence learning, ICT, active and reflexive learning, flexible groups, and real contextualization.

Due to the undeniable increase in the impact that artificial intelligence systems have on numerous aspects of society, the teaching-learning process is increasingly influenced by these, producing the need to know the participating agents and applicable approaches for their implementation. Therefore, the main purpose of this chapter is to obtain an overview of the elements and challenges involved in the application of artificial intelligent devices in education. In this sense, the information presented below characterizes some of these systems through the way in which they personalize learning based on the peculiarities of the students and makes specific reference to the operation of some of them, such as the intelligent tutor system and exploratory learning environments.