Impact of Programming Languages on Learning Performance

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 suc...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International journal of information and communication technology education Jg. 21; H. 1; S. 1 - 17
Hauptverfasser: Zaldivar, Daniel, Cuevas, Erik Hombre, Perez, Marco
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Hershey IGI Global 01.01.2025
Schlagworte:
Academic achievement
Algorithms
Artificial intelligence
CAI
Communication
Communication (Thought Transfer)
Computer assisted instruction
Computer vision
Computers
Curricula
Curriculum Design
Data analysis
Design of experiments
Educational Methods
Educational Strategies
Effectiveness
Engineering
Engineering Education
Image processing
Influence of Technology
Information technology
Languages
Learning
Learning Processes
Machine learning
Mathematical Models
Mathematics Education
Mathematics Skills
Matlab
Periodicals
Popularity
Programming languages
Python
Research design
Students
Teaching
Teaching Methods
Technology education
Visualization
World Problems
ISSN:1550-1876, 1550-1337
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1550-1876
1550-1337
DOI:10.4018/IJICTE.371419