Bloque en moodle para el reconocimiento de emociones faciales de los estudiantes
Fecha
2019-06-20
Autores
Vázquez Basulto, Roberto Carlos
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Editor
Universidad Central “Marta Abreu” de Las Villas
Resumen
Los procesos educativos en la Universidad Central “Marta Abreu” de Las Villas (UCLV) se han beneficiado y perfeccionado con el apoyo de la plataforma Moodle. Una carencia de este entorno es que no cuenta con facilidades que permita reconocer el estado emocional de los estudiantes en su interacción con los componentes de los cursos. Mediante esta funcionalidad el profesor podría adaptar los contenidos de aprendizaje según el estado emocional y el progreso académico de los alumnos. Para conocer el estado afectivo de los estudiantes se decidió clasificar el rostro en las seis emociones universales alegría, sorpresa, tristeza, asco, ira y miedo. Las emociones se detectan y clasifican utilizando una biblioteca realizada en la UCLV haciendo uso de una API REST. Dentro de las extensiones que se pueden desarrollar para Moodle, se decidió que el bloque es la adecuada para incluir el reconocimiento facial de emociones. El bloque se implementó en el lenguaje de programación PHP teniendo en cuenta el estilo de código del Moodle. El bloque “Emociones” permite la detección de emociones faciales dentro de Moodle. Facilita al profesor conocer los estados de ánimo de sus estudiantes al interactuar con los componentes de su curso.
educational processes in the Universidad Central “Marta Abreu” de Las Villas (UCLV) have benefitted and been perfected with the help of the Moodle platform. One of the shortcomings of this environment is that it does not have the facilities that allow to recognize the emotional state of the students in their interaction with the components of the courses. Through this functionality the professor could adapt the learning contents according to the emotional state and academic progress of the students. To know the affective state of the students it was decided to classify the face in the six universal emotions joy, surprise, sadness, disgust, anger and fear. The emotions are detected and classified using a library made in the UCLV making use of an API REST. Within the extensions that can be developed for Moodle, it was decided that the block is the appropriate one to include facial recognition of emotions. The block was implemented in the programing language PHP taking into account the style of coding of the Moodle. The block “Emotions” allows the detection of facial emotions within Moodle. It makes it easier for the professor to know the moods of their students by interacting with the components of their course.
educational processes in the Universidad Central “Marta Abreu” de Las Villas (UCLV) have benefitted and been perfected with the help of the Moodle platform. One of the shortcomings of this environment is that it does not have the facilities that allow to recognize the emotional state of the students in their interaction with the components of the courses. Through this functionality the professor could adapt the learning contents according to the emotional state and academic progress of the students. To know the affective state of the students it was decided to classify the face in the six universal emotions joy, surprise, sadness, disgust, anger and fear. The emotions are detected and classified using a library made in the UCLV making use of an API REST. Within the extensions that can be developed for Moodle, it was decided that the block is the appropriate one to include facial recognition of emotions. The block was implemented in the programing language PHP taking into account the style of coding of the Moodle. The block “Emotions” allows the detection of facial emotions within Moodle. It makes it easier for the professor to know the moods of their students by interacting with the components of their course.
Descripción
Palabras clave
Bloque, Emociones, Plugin, Reconocimiento Facial, Block, Emotions, Moodle, Facial Recognition