The development of computational thinking skills is essential for information management, problem-solving, and understanding human behavior. Thus, the aim of the experience described here was to incorporate computational thinking practices to improve learning in a first Python programming course using programming tools such as PSeInt, CodingBat, and the turtle graphic library. A quasi-experimental methodological design was used in which the experimental and control groups are in different academic semesters. Exploratory mixed research was carried out. The control and experimental group consisted of 41 and 36 students, respectively. The results show that with the use of support programming tools, such as PSeInt, CodingBat, Python turtle graphic library, and the incorporation of computational thinking practices, the experimental group students obtained better learning results. It is concluded that student performance and motivation in university programming courses can be improved by using proper tools that help the understanding of programming concepts and the skills development related to computational thinking, such as abstraction and algorithmic thinking.
|Number of pages||7|
|Journal||International Journal of Advanced Computer Science and Applications|
|State||Published - 2022|
Bibliographical noteFunding Information:
The authors' thanks are expressed to the National University of San Agustin de Arequipa for the support received in the realization of the proposal and the results are expected to benefit the institution.
© 2022, (IJACSA) International Journal of Advanced Computer Science and Applications. All Rights Reserved.
- Algorithmic thinking
- Computational thinking
- Programming tools