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Work in Progress: Effects of Text, Illustration, and Simulation in a Digital Signal Processing Course: An Experimental Study | IEEE Conference Publication | IEEE Xplore

Work in Progress: Effects of Text, Illustration, and Simulation in a Digital Signal Processing Course: An Experimental Study


Abstract:

Digital filter design in electronics/electrical engineering involves complicated mathematical equations and dynamic waveform variations. It is a consensus among educators...Show More

Abstract:

Digital filter design in electronics/electrical engineering involves complicated mathematical equations and dynamic waveform variations. It is a consensus among educators that using simulation tools helps improve students' learning experience. However, very few studies provided scientific evidence to support this notion. In a digital signal processing (DSP) course, students received three different types of instructional messages (online text only, text plus static illustrations, and text plus simulations). An experimental study was designed to investigate potential main effects of the independent variables: instructional message on students' post-test scores. Multivariate analysis of variance (MANOVA) was performed to analyze collected data. Results from 132 students showed significant differences among students in a post-test learning achievement (F(2,130)=13.590, p<.05). A follow-up test indicated that students who used a simulation tool performed significant better scores on their learning achievement test than those who only received online text materials and than those who received text plus static illustrations (p<.05)
Date of Conference: 27-31 October 2006
Date Added to IEEE Xplore: 05 March 2007
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Conference Location: San Diego, CA, USA
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Introduction

Digital filter design is a core course in electronics/electrical engineering curricula. It is typically designed to impart the concepts of digital signal processing, sampling theorem, Fourier transformation, convolution, Z transformation, infinite impulse response filter (IIR), and finite impulse response filter (FIR). It also involves complicated mathematical equations and dynamic waveform variations. Pedagogically, teachers need to first introduce to students those concepts and complicated phenomena before touching upon the design of digital filter. From the perspective of computer-aided learning, it is now widely acknowledged that software simulations enhance students' learning experience, for it allows active student participation [1]. Simulation is also viewed as one of the most efficient and effective approaches in the complex and dynamic teaching-learning system. For example, it saves teaching time and produces better learning results [2].

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References

References is not available for this document.