Approaches of learning and computational thinking in students that get into the computer sciences career

Klinge Orlando Villalba Condori, Sonia Esther Castro Cuba-Sayco, Evelyn Paola Guillen Chavez, Claudia Deco, Cristina Bender

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

5 Citas (Scopus)

Resumen

The way in which the student processes the information, codifies it and recovers it, constitutes its learning approach. The learning process differentiates two qualitative ways of dealing with this process: the deep approach and the superficial approach. The use of each approach depends on the context. However, the adoption of a deep learning approach is positively related to the academic performance. Computational Thinking is defined as a competence of the XXI century, which allows solving problems from a computational point of view, and there is a variety of instruments that allow to measure it, and to know the state in which the evaluated student is. In this paper, we verified the existence of the positive significant relationship between the learning approach and computational thinking in students entering the career of Computer Sciences. By applying Pearson correlation test to verify the relationship between Learning Approaches and Computational Thinking, we found that both variables have homogeneous behaviors and that students show similar conditions. Men are in better conditions than women on the evaluated aspects of the Computational Thinking, Also, we found a significantly positive relationship between Computational Thinking and the Learning Approach (r = 0,882). This result shows that the learning approaches that students' practice are linked to the computational thinking they demonstrate. According to the results, the teachers of this career must develop active and deep methodological strategies due to the predisposition in these students.

Idioma originalInglés
Título de la publicación alojadaProceedings - TEEM 2018
Subtítulo de la publicación alojada6th International Conference on Technological Ecosystems for Enhancing Multiculturality
EditoresFrancisco Jose Garcia-Penalvo
EditorialAssociation for Computing Machinery
Páginas36-40
Número de páginas5
ISBN (versión digital)9781450365185
DOI
EstadoPublicada - 24 oct. 2018
Evento6th International Conference on Technological Ecosystems for Enhancing Multiculturality, TEEM 2018 - Salamanca, Espana
Duración: 24 oct. 201826 oct. 2018

Serie de la publicación

NombreACM International Conference Proceeding Series

Conferencia

Conferencia6th International Conference on Technological Ecosystems for Enhancing Multiculturality, TEEM 2018
País/TerritorioEspana
CiudadSalamanca
Período24/10/1826/10/18

Nota bibliográfica

Publisher Copyright:
© 2018 ACM

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