Prospectives on the Use of ChatGPT in Education: Pros and Cons With a Classical Approach

Abstract

In this paper, we analyze the use of ChatGPT in teaching random signals and processes and image processing, and we identify pros and cons compared to a classical approach. We focus on these two important engineering topics, which can be challenging for beginners. Regarding random signals and processes, we selected two examples from our learning platform dedicated to better understanding random signals and processes. The first example demonstrates why a linear transformation of normal and uniform random variables does not change the type of variables. The second example explains why the sum of two normal random variables is normal while the sum of two uniform random variables is not. Next, we consider a demo example for teaching image processing from the Image Enhancement Module: Notch Filter for the Moiré Pattern. We conclude the paper by summarizing the findings from the classical, and ChatGPT approaches in the learning process.

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