A Web Application to Analyze Students’ Emotions and Attention

Keywords: Web application, Attention monitoring, Emotion recognition, Facial recognition

Abstract

Analyzing and monitoring students’ attention level in virtual environments allows teachers to take actions to improve teaching-learning processes. This study introduces the integration of two models, one for emotion recognition and one for attention analysis, both of them aimed at monitoring the interactions of students in virtual environments. Such integration was completed on a web platform employing the Flask framework, where the artificial intelligence models used to analyze the interaction can be executed. The results obtained show that teachers, as knowledge mediators, can use the platform to understand the behavior of the students in synchronous and asynchronous virtual environments and take actions to improve learning experiences. The results also highlight the advantages of employing the Model-View-Controller (MVC) pattern in web applications, using and integrating artificial intelligence techniques through the Flask framework.

Author Biographies

Alejandro Piedrahíta-Carvajal*, Instituto Tecnológico Metropolitano, Colombia

Instituto Tecnológico Metropolitano, Medellín-Colombia, alejandropiedrahita264000@correo.itm.edu.co

Paula Andrea Rodríguez-Marín, Instituto Tecnológico Metropolitano, Colombia

Instituto Tecnológico Metropolitano, Medellín-Colombia, paularodriguez@itm.edu.co

Daniel F. Terraza-Arciniegas, Instituto Tecnológico Metropolitano, Colombia

Instituto Tecnológico Metropolitano, Medellín-Colombia, danielterraza212285@correo.itm.edu.co

Mauricio Amaya-Gómez, Instituto Tecnológico Metropolitano, Colombia

Instituto Tecnológico Metropolitano, Medellín-Colombia, mauricioamaya189862@correo.itm.edu.co

Leonardo Duque-Muñoz, Instituto Tecnológico Metropolitano, Colombia

Instituto Tecnológico Metropolitano, Medellín-Colombia, leonardoduque@itm.edu.co

Juan David Martínez-Vargas, Instituto Tecnológico Metropolitano, Colombia

Instituto Tecnológico Metropolitano, Medellín-Colombia, juanmartinez@itm.edu.co

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How to Cite
[1]
A. Piedrahíta-Carvajal, P. A. Rodríguez-Marín, D. F. Terraza-Arciniegas, M. Amaya-Gómez, L. Duque-Muñoz, and J. D. Martínez-Vargas, “A Web Application to Analyze Students’ Emotions and Attention”, TecnoL., vol. 24, no. 51, p. e1821, May 2021.

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Published
2021-05-12
Section
Research Papers
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