Enabling IoT in Education 4.0 with BioSensors from Wearables and Artificial Intelligence

A major challenge for Education 4.0 is to make use of wearable devices for helping students in monitoring their learning behavior and their activities (steps, heart rate variability, and heart rate) in real-time. The first aim of this paper is to present our implementation of adaptivity and Artifici...

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Bibliographic Details
Main Authors: Ciolacu, Monica Ionita, Binder, Leon, Popp, Heribert
Format: Conference Proceeding
Language:English
Subjects:
Artificial Intelligence
biofeedback
biosensor
Education 4.0
IoT
Technology Enhanced Learning
wearables
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Summary:A major challenge for Education 4.0 is to make use of wearable devices for helping students in monitoring their learning behavior and their activities (steps, heart rate variability, and heart rate) in real-time. The first aim of this paper is to present our implementation of adaptivity and Artificial Intelligence (AI) methods within the Education 4.0 process. In this work, we investigate embedded biosensors (noninvasive, low-cost, and distraction-free) used in smartphones and smartwatches. The next objective is to enable IoT for Higher Education, i.e. a novel system assisted by AI that takes embedded biosensor data and environmental data into account in order to estimate students' wellbeing and health. In this regard, we propose a framework that uses wearable devices to collect data with biofeedback methods to support students' academic success.
ISSN:2642-7036
DOI:10.1109/SIITME47687.2019.8990763