Objeto virtual de aprendizaje basado en aprendizaje experiencial que promueve la comprensión del procesamiento digital de señales biológicas

Abstract

The study of Biological Digital Signal Processing (BDSP) requires a foundation in Fourier Analysis, but the mathematics involved makes it difficult to understand. Although solutions have been proposed to this problem, they lack a pedagogical-didactic component that helps to improve its understanding. This is why it has been proposed to develop a Virtual Learning Object (OVA) that articulates Kolb's Experiential Learning, with the behaviors typical of understanding. A quantitative approach was used, with a pre-experimental design, and an intervention was carried out with a group of fifteen (15) students, aged between 21 and 24 years, belonging to the Bioengineering II course at the Universidad Distrital. Of the best practices that were identified in the literature review and that characterize Experiential Learning, the one related to the accumulation of experiences with natural phenomena (biological signals) is differential in promoting the three capacities associated with understanding. The motivation generated by experimenting with one's own signals and whose processing leads to extracting information that is not evident, could be the cause of the success of this characteristic. As a result of this work, the use of virtual laboratories, or a mixture of these with computer simulations, is recommended to foster understanding of BDSP and other topics associated with STEM.