MARC

LEADER 00000nab a2200000uu 4500
001 3183630805
003 UK-CbPIL
022 |a 1550-1876 
022 |a 1550-1337 
024 7 |a 10.4018/IJICTE.371419  |2 doi 
035 |a 3183630805 
045 2 |b d20250101  |b d20250331 
084 |a 78808  |2 nlm 
100 1 |a Zaldivar, Daniel  |u Universidad de Guadalajara, Mexico 
245 1 |a Impact of Programming Languages on Learning Performance 
260 |b IGI Global  |c 2025 
513 |a Journal Article 
520 3 |a 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. 
653 |a Teaching 
653 |a Students 
653 |a Computer assisted instruction--CAI 
653 |a Curricula 
653 |a Communication 
653 |a Data analysis 
653 |a Python 
653 |a Computer vision 
653 |a Image processing 
653 |a Popularity 
653 |a Learning 
653 |a Effectiveness 
653 |a Programming languages 
653 |a Algorithms 
653 |a Languages 
653 |a Engineering 
653 |a Research design 
653 |a Academic achievement 
653 |a Design of experiments 
653 |a Matlab 
653 |a Technology education 
653 |a Machine learning 
653 |a Artificial intelligence 
653 |a Information technology 
653 |a Mathematics Skills 
653 |a World Problems 
653 |a Communication (Thought Transfer) 
653 |a Engineering Education 
653 |a Visualization 
653 |a Educational Strategies 
653 |a Influence of Technology 
653 |a Curriculum Design 
653 |a Educational Methods 
653 |a Teaching Methods 
653 |a Learning Processes 
653 |a Computers 
653 |a Periodicals 
653 |a Mathematics Education 
653 |a Mathematical Models 
700 1 |a Cuevas, Erik Hombre  |u Universidad de Guadalajara, Mexico 
700 1 |a Perez, Marco  |u Universidad de Guadalajara, Mexico 
773 0 |t International Journal of Information and Communication Technology Education  |g vol. 21, no. 1 (2025), p. 1-18 
786 0 |d ProQuest  |t Library Science Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3183630805/abstract/embedded/ZKJTFFSVAI7CB62C?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3183630805/fulltextPDF/embedded/ZKJTFFSVAI7CB62C?source=fedsrch