Advanced Technologies in Lifelong Learning

The rapid changes in today’s society and in the labor market require workers to undergo constant retraining in order to update and adapt their knowledge and skills throughout their lives. These new education needs occur at a time of transformation of face-to-face education and expansion of blended and online education. Regarding face-to-face education, for example, mobile technologies and sensors are being introduced more and more in the classroom with the aim to encourage technology-driven interaction between students and teachers and also to be able to collect much more information of what happens in the classroom in real time. Regarding online education, for example, new models such as MOOCs (Massive Open Online Courses) emerged in the last decade as a way to offer quality structured open educational resources to learners worldwide, and at the same time fostering the digital transformation of many universities. In addition, the opportunities to collect and analyze many more data of learners’ behavior and performance in face-to-face, blended, and online education, together with the development of artificial intelligence and machine learning techniques, has allowed a fast development of the field of learning analytics in order to support instructors in the redesign and adaptation of their contents and classes, and learners in increasing their awareness on their progress, and in the development of their self-regulated learning skills, among others.

Dr. Carlos Alario-Hoyos
Guest Editor

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