Education 4.0: AI Empowers Smart Blended Learning Process with Biofeedback

Abstract

This paper describes the teaching model for Education 4.0, that uses elements from different disciplines such as electronic technology, Artificial Intelligence (AI), health, multimodal learning analytics, education, etc. Smart blended learning process for Education 4.0, implements in each phase AI methods such as user modeling, adaptivity, machine learning, chatbots, and semantic text recognition tools to increase learning success and to reduce the dropout rate in examinations. On the one hand, multimodal data, from online course and wearables, enables further statements about the concrete learning situation, and on the other hand, it increases the students' subjective experience of emotional states, their stress perception, well-being or energy level. This paper reports on experiments where the combination of AI, Internet of Things (IoT) and Biofeedback in a smart blended learning process attempt to consider the characteristics of learners better.