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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| Published in: | Frontiers in psychology Vol. 11; p. 600814 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Switzerland
Frontiers Media S.A
21.01.2021
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| Subjects: | |
| ISSN: | 1664-1078, 1664-1078 |
| Online Access: | Get full text |
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| Summary: | 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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| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 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 |