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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - TEEM 2018
Subtitle of host publication6th International Conference on Technological Ecosystems for Enhancing Multiculturality
EditorsFrancisco Jose Garcia-Penalvo
PublisherAssociation for Computing Machinery
Pages36-40
Number of pages5
ISBN (Electronic)9781450365185
DOIs
StatePublished - 24 Oct 2018
Event6th International Conference on Technological Ecosystems for Enhancing Multiculturality, TEEM 2018 - Salamanca, Spain
Duration: 24 Oct 201826 Oct 2018

Publication series

NameACM International Conference Proceeding Series

Conference

Conference6th International Conference on Technological Ecosystems for Enhancing Multiculturality, TEEM 2018
Country/TerritorySpain
CitySalamanca
Period24/10/1826/10/18

Bibliographical note

Publisher Copyright:
© 2018 ACM

Keywords

  • Career of Computer Sciences
  • Computational Thinking
  • Learning Approach

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