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ERIC Number: EJ1465076
Record Type: Journal
Publication Date: 2025
Pages: 17
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1550-1876
EISSN: EISSN-1550-1337
Available Date: 0000-00-00
Impact of Programming Languages on Learning Performance
Erik Hombre Cuevas; Daniel Zaldivar; Marco Perez
International Journal of Information and Communication Technology Education, v21 n1 2025
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.
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: N/A