Study to find out the perception that first year students in engineering have about the Computational Thinking skills, and to identify possible factors related to the ability of Abstraction

Abstract

Since the end of the 20th century, the digitalization of society, including the educational systems, has been growing exponentially. At the same time, education systems have been evolving towards competency-based assessment. Likewise, at the beginning of this century, the idea of Computational Thinking was resurrected by J. Wing, for solving problems and designing systems using concepts of computer science. Today, we can see how all these questions are taking shape in a new competence, called Computational Thinking, related to others that already exist. In this paper, we have studied the skills of Computational Thinking in university students, focusing on abstraction and its possible relationship with other factors. Results conclude that the students fail in relation to abstraction and in algorithmic thinking. Although the ability of abstraction is not easy to measure, a linear regression analysis has been carried out in order to determine its possible study.

Computational Thinking in Geometric Concept Construction Using Geogebra Software

“…Regarding the loop component, [17] states that the repeated processes by way of practice of a requested action, covers the slogans making use of mental competences accompanied with the use of tools, in this regard the student for the achievement of the construction of geometric figures, they achieve the slogan by the repeated times they surface their concepts and assume with responsibility the software tools. Regarding the event component, [18], understood as the events that trigger the sequences for the achievement of the sentences, who assume their ideals generated and matured by the conceptual interactions to then put them in evidence during the geometric constructions.…”

Roles and challenges of innovation, industry 4.0, and sustainability competencies development in engineering students

“…Diversos estudios han abordado diferentes metodologías para integrar aspectos como innovación [3], [4], sostenibilidad [5], [40], investigación [41], uso de TICs [6], y pensamiento computacional [7], diversidad [8], y metodologías activas dentro del campo de la ingeniería. Los mismos han respondido tanto al contexto de una asignatura, como un área o programa de estudio.…”

“…Digital Object Identifier: https://dx.doi.org/10.18687/LACCEI2023. 1.1.1440 pedagógicos que permiten a sus egresados afrontar las necesidades actuales en cuanto a innovación [4], sostenibilidad [5], uso de Tecnologías de la Información y las Comunicaciones (TICs) [6], pensamiento computacional [7], diversidad [8], entre otros, clave para el desarrollo económico, social, ambienta de educación, entre otros [9]. En el contexto educativo, el pensamiento innovador permite a los futuros profesionales enfrentar desafíos en su quehacer cotidiano con respuestas alternativas mediante la creación, generación, transformación y adaptación a cada nuevo contexto con soluciones novedosas y eficaces [10].…”

Investigation of science process skills and computational thinking dispositions during the implementation of collaborative modeling-based learning in high school physics class

“…CT consists of abstraction, decomposition, algorithmic thinking and pattern generalization (Psycharis & Kotzampasaki, 2019). CT development for students has been attracting attention from early childhood to university (Bilbao, Bravo, García, Rebollar, & Varela, 2021;Kafai & Proctor, 2022). Integration of CT in computer science, math, physics, chemistry, biology and art courses has been a particular strategy taken in the educational system to develop CT.…”