Desarrollo de un prototipo de valoración de clases a través de expresiones faciales en la facultad de Ingeniería de la Universidad Católica de Santiago de Guayaquil.

Abstract

The objective of this project was the creation of a prototype of class evaluation for the Faculty of Engineering of the Catholic University of Santiago de Guayaquil, using algorithms for detection and recognition of emotions, this prototype seeks to collect complementary information on teaching performance from the facial expressions of students. In methodological terms, the prototype used the qualitative approach and descriptive method, the data collection technique used was the survey and the instrument was the questionnaire, this technique was used to know the degree of knowledge of the technologies used and the perspective of teachers on the potential benefits of the project. For the development of the project, the RAD methodology was used, due to the short development cycle it employs, which allows to control changes in a quick and orderly manner, the programming language chosen was Python due to its vast compatibility and support with face detection libraries, a relational database and an emotion recognition API were used to raise the level of confidence of the prototype. The result obtained consisted of the collection of information on the facial expressions of the students during the class, classified according to the emotion to which they belong, with this information the emotion that predominated during the class is identified, which serves as complementary information about the teacher's performance. In conclusion, the prototype will provide the teacher with the emotional impact that he generates in his students through his teaching methodology, with this information the teacher can identify areas for improvement in his methodology.