Can Students’ Computer Programming Learning Motivation and Effectiveness Be Enhanced by Learning Python Language? A Multi-Group Analysis

Python language has become the most popular computer language. Python is widely adopted in computer courses. However, Python language’s effects on the college and university students’ learning performance, motivations, computer programming self-efficacy, and maladaptive cognition have still not been...

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Veröffentlicht in:Frontiers in psychology Jg. 11; S. 600814
Hauptverfasser: Ling, Hsiao-Chi, Hsiao, Kuo-Lun, Hsu, Wen-Chiao
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Switzerland Frontiers Media S.A 21.01.2021
Schlagworte:
computer programming self-efficacy
learning motivation
learning performance
maladaptive cognition
Psychology
Python
computer programming self-efficacy
learning performance
learning motivation
maladaptive cognition
Python
ISSN:1664-1078, 1664-1078
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Zusammenfassung:Python language has become the most popular computer language. Python is widely adopted in computer courses. However, Python language’s effects on the college and university students’ learning performance, motivations, computer programming self-efficacy, and maladaptive cognition have still not been widely examined. The main objective of this study is to explore the effects of learning Python on students’ programming learning. The junior students of two classes in a college are the research participants. One class was taught Java language and the other class was taught Python language. The learning performance, motivations, and maladaptive cognition in the two classes were compared to evaluate the differences. The results showed that the motivations, computer programming self-efficacy, and maladaptive cognition on the learning performance were significant in the Python class. The results and findings of this study can be used in Python course arrangement and development.
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Reviewed by: Shih-Ming Ou, Fujian Jiangxia University, China; Joey Tsai, Binghamton University, United States
This article was submitted to Human-Media Interaction, a section of the journal Frontiers in Psychology
Edited by: Yenchun Jim Wu, National Taiwan Normal University, Taiwan
ISSN:1664-1078
1664-1078
DOI:10.3389/fpsyg.2020.600814