Self-Efficacy to Train Computational Thinking Skills in Pre-Service Teachers∗

Talavera-Mendoza F.; Paucar F.H.R.; Alarcon D.A.U. · Proceedings - JICV 2023: 13th International Conference on Virtual Campus (2023) · DOI: 10.1109/jicv59748.2023.10565688

Resumen

In this work we, study the self-efficacy of the use of the Choreographe software in block programming using the NAO robot in order to develop instructional videos in the classroom within the framework of Computational Thinking. The put forward objectives were three; (1) Evaluate the level of significance of self-efficacy and the applicability of CT concepts. (2) Measure the relationship between the applicability of CT concepts with the ease of use, usefulness, attitude and intention to work in the future with an instructional program. (3) Establish the percentages and means of the items of the variables concepts CT and self-efficacy. Thus, from a quantitative approach, we propose to create a questionnaire to measure self-efficacy and the level of knowledge acquired in block programming. 4 practical workshops of 2 hours each have been carried out with 28 initial training students between the ages of 23 and 27. The results yielded a positive correlation between the variables self-efficacy and computational thinking. Highlighting a positive acceptance of self-efficacy in the use of Choreographe software in the block programming experience and a growing ascendancy of interaction.

Instituciones: Universidad Nacional de San Agustín de Arequipa