Computational thinking is a type of analytical thinking that is developed intentionally, that is, under a 'learned' approach, and the best way to learn it is through computer programming. In this paper, the experience of using block-based programming environments such as Scratch, Lightbot and the PSelnt pseudo-code tool for the understanding of computational concepts and development of computational thinking skills is reported. A quasi-experimental methodological design was used, since it did not work with a control group. A mixed exploratory investigation was carried out. 85 first-year students from the Accounting Professional School of the National University of San Agustin de Arequipa participated in the experience. The results show that in introductory programming courses of short time period, teaching with block-based programming environments compared to the use of pseudocode with the PSelnt tool, facilitates the appropriation of computational concepts and the development of computational thinking skills; thus obtaining better learning results. It is concluded that block-based programming environments favor the construction of knowledge and foster the development of creativity and algorithmic thinking.
|Title of host publication||Proceedings - 2021 16th Latin American Conference on Learning Technologies, LACLO 2021|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||6|
|State||Published - 2021|
|Event||6th Latin American Conference on Learning Technologies, LACLO 2021 - Arequipa, Peru|
Duration: 19 Oct 2021 → 21 Oct 2021
|Name||Proceedings - 2021 16th Latin American Conference on Learning Technologies, LACLO 2021|
|Conference||6th Latin American Conference on Learning Technologies, LACLO 2021|
|Period||19/10/21 → 21/10/21|
Bibliographical notePublisher Copyright:
© 2021 IEEE.
- algorithmic thinking
- computational thinking
- digital literacy
- problem solving