Development of MATLAB Based LearnFFT Tool for Constructive and Graphical Understanding of FFT

Abstract

The cognitive load of numerically complex concepts such as FFT in engineering discipline could be a challenge in comprehension and interest or motivation for learning the same. The proposed tool uses constructive and interactive learning strategies to create a TEL environment, leading to higher level of involvement and understanding; thus targeting understand and apply phases of Bloom's taxonomy. The tool enables to mitigate the challenges faced in tackling complicated equations and integrals by students with low numerical aptitude, by providing a graphical tutorial for FFT of simple periodic and non-periodic signals. Ultimately, the translation of knowledge from 2D FFT tutorial into causal defect analysis of MRI images and K-space can be tested, for knowing the student's progress in analyze and evaluate stages of cognition. The LearnFFT tool also allows the user to try comparative graphical study for simple functions, modifications in the same and their FFT.