Content area
The integration of various programming languages into the undergraduate engineering curriculum often occurs without adequate evaluation of their effectiveness within specific disciplines. Recently, Python and MATLAB have garnered significant attention as preferred languages for teaching subjects such as image processing and computer vision. Despite their popularity, few studies have evaluated their effectiveness in teaching these topics. This study aimed to determine which programming language, Python or MATLAB, facilitates a better understanding of image processing concepts. The analysis compared the learning performance of two groups, each comprising 40 students. One group utilized MATLAB as the programming tool, while the other implemented image processing algorithms using Python. To analyze the differences between these languages, a testing method of experimental design was employed. The results indicate that students who learned with MATLAB demonstrated superior learning performance compared to those who used Python.
Details
World Problems;
Communication (Thought Transfer);
Artificial Intelligence;
Engineering Education;
Visualization;
Educational Strategies;
Algorithms;
Technology Education;
Influence of Technology;
Curriculum Design;
Educational Methods;
Teaching Methods;
Learning Processes;
Computers;
Periodicals;
Mathematics Education;
Programming Languages;
Data Analysis;
Mathematical Models
Students;
Computer assisted instruction--CAI;
Curricula;
Communication;
Data analysis;
Python;
Computer vision;
Image processing;
Popularity;
Learning;
Effectiveness;
Programming languages;
Algorithms;
Languages;
Engineering;
Research design;
Academic achievement;
Design of experiments;
Matlab;
Technology education;
Machine learning;
Artificial intelligence;
Information technology