Abstract
At the Electrical Engineering Faculty of the Universidad de Oriente (UO) in Santiago de Cuba, for the increase and improvement of students’ knowledge in the subject Digital Signal Processing difficulties are detected in the learning of this subject in Biomedical, Telecommunications and Electrical careers in the Faculty, due to the high degree of mathematical theoretical concepts that they require, which has caused lack of motivation in the students and low academic results.
The virtual learning environment is a web application developed in the Django framework, written in Python, which respects the design pattern known as Model-View-Controller, as a relational database management system, Sqlite is proposed, due to its speed, reliability and ease of use, multiplatform and multi-user. Using the observer pattern for the management of student activities, through which students can check the progress of the assimilation of the contents in each of the topics of the subject. Two user roles are considered for the system, teachers’ role that is responsible for the management of educational resources, such as topics, videos, questions, or other reference materials, and students’ role, who interact with each of the resources, registering the time and answers to the questions, for a post-top statistical analysis that can be shown to the student or the teacher.
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Acknowledgements
Part of this research was made thanks to the financial support derived from the Webbasierte FuE-Plattform Zur Signalanalyse Project (WebSA) in collaboration with the University of Applied Sciences from Dusseldorf.
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Martinez-Cañete, Y., Cano-Ortiz, S.D., Sanabria-Macias, F., Langmann, R., Jacques, H., Diaz-Labiste, P.E. (2019). Virtual Learning Environment for Digital Signal Processing. In: Auer, M., Langmann, R. (eds) Smart Industry & Smart Education. REV 2018. Lecture Notes in Networks and Systems, vol 47. Springer, Cham. https://doi.org/10.1007/978-3-319-95678-7_30
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DOI: https://doi.org/10.1007/978-3-319-95678-7_30
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