Next Article in Journal
Security in Low Powered Wide Area Networks: Opportunities for Software Defined Network-Supported Solutions
Previous Article in Journal
Passive Round-Trip-Time Positioning in Dense IEEE 802.11 Networks
Open AccessFeature PaperArticle

An Emotion-Aware Learning Analytics System Based on Semantic Task Automation

Intelligent Systems Group, Universidad Politécnica de Madrid, 28040 Madrid, Spain
*
Author to whom correspondence should be addressed.
Electronics 2020, 9(8), 1194; https://doi.org/10.3390/electronics9081194
Received: 6 July 2020 / Revised: 21 July 2020 / Accepted: 22 July 2020 / Published: 25 July 2020
(This article belongs to the Section Computer Science & Engineering)
E-learning has become a critical factor in the academic environment due to the endless number of possibilities that it opens for the learning context. However, these platforms often suppose to increase the difficulties for the communication between teachers and students. Without having real contact between teachers and students, the former finds it harder to adapt their methods and content to their students, while the students also find complications for maintaining their focus. This paper aims to address this challenge with the use of emotion and engagement recognition techniques. We propose an emotion-aware e-learning platform architecture that recognizes students’ emotions and attention in order to improve their academic performance. The system integrates a semantic task automation system that allows users to easily create and configure their own automation rules to adapt the study environment. The main contributions of this paper are: (1) the design of an emotion-aware learning analytics architecture; (2) the integration of this architecture in a semantic task automation platform; and (3) the validation of the use of emotion recognition in the e-learning platform using partial least squares structural equation modeling (PLS-SEM) methodology. View Full-Text
Keywords: e-learning; emotion aware; semantic; task automation; emotion detection; emotion regulation e-learning; emotion aware; semantic; task automation; emotion detection; emotion regulation
Show Figures

Figure 1

MDPI and ACS Style

Muñoz, S.; Sánchez, E.; Iglesias, C.A. An Emotion-Aware Learning Analytics System Based on Semantic Task Automation. Electronics 2020, 9, 1194. https://doi.org/10.3390/electronics9081194

AMA Style

Muñoz S, Sánchez E, Iglesias CA. An Emotion-Aware Learning Analytics System Based on Semantic Task Automation. Electronics. 2020; 9(8):1194. https://doi.org/10.3390/electronics9081194

Chicago/Turabian Style

Muñoz, Sergio; Sánchez, Enrique; Iglesias, Carlos A. 2020. "An Emotion-Aware Learning Analytics System Based on Semantic Task Automation" Electronics 9, no. 8: 1194. https://doi.org/10.3390/electronics9081194

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop