DEEP LEARNING SHIFT IN ELEARNING

Z. Kurillová1, A. Veľas1, T. Loveček1, G. Lugano2

1University of Zilina, Faculty of Security Engineering (SLOVAKIA)
2University of Žilina / University Science Park (SLOVAKIA)
In their virtual video Shift Happens, Karl Fisch and Scott McLeod describe the global, digital twenty-first century world as exponential. The amount of new technical information is doubling every two years. We are currently preparing students for jobs that don’t yet exist. However, in classical educational systems, students are still taught in distinct subjects in direction chosen by the prescribed, mostly outdated, educational path.

In this article we will explore possible uses of artificial intelligence to create an elearning system that will teach a learner for the future that we still do not know. This will be based on his or her interests and passions that can be greatly interconnected throughtout various subjects of classical educational systems.

We believe that following such passions will lead to profound cross-subject knowledge that will shape the best of the student.

Artificial intelligence offers a new system based on neural networks, deep learning (DL), that loosely works the same way as human brain, it can perform tasks that normally need human intelligence. DL can be effectively used for visual perception, speech recognition, decision-making and translation between languages. Our aim is to analyze these opportunities and suggest new approach to elearning to support the learners for the future.