The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Impact of Programming Languages on Learning Performance
Abstract
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.
Related Content
|
Abdullah Al Fraidan.
© 2025.
36 pages.
|
|
Guanzheng Chen, Yuying Fan.
© 2025.
18 pages.
|
|
Carol Rentas, Ramapoza O'Dwyer, Rohini Ganjoo, Marcia A. Firmani, Cliff Cymrot, Yousif Barzani, Lisa S. Schwartz.
© 2025.
27 pages.
|
|
Tao He.
© 2025.
22 pages.
|
|
Xiaoli Huang, Wei Xu, Ruijia Liu.
© 2025.
25 pages.
|
|
Erik Hombre Cuevas, Daniel Zaldivar, Marco Perez.
© 2025.
17 pages.
|
|
Hsing-Yu Hou, Pei-Jung Wu, Chih-Teng Chen, Li-Wen Huang.
© 2025.
22 pages.
|
|
|