A Systematic Mapping of Variables Studied in Research Related to Education in Informatics And Computing

Authors

  • Odiel Estrada-Molina Dept. of Education. University of Huelva

Keywords:

Systematic Mapping, Informatics, Computer Education, Engineering Education, Software Engineering Teaching, Programming Teaching.

Abstract

Previous theoretical studies (reviews and systematic mappings) have only focused on certain variables of the education of Informatics and Computing such as game-based learning, project-based learning, and problem-based learning. Therefore, the objective of this article was to carry out a systematic mapping (2010-2019) to determine which variables are studied in research related to the education of informatics and computing. We performed a systematic mapping to IEEE Xplore (2010-2019). The protocol corresponds to the PRISMA guidelines for systematic reviews and its contextualization to the performance of systematic mappings. When applying the protocol, 160 articles were finally selected of which 154 are indexed in Scopus (96.25%) and 132 indexed in Scopus and WoS (82.5%). The results highlight that the most studied variables are teaching programming, teaching software engineering, teamwork, collaborative learning, educational technology, assessment, project-based learning, problem-based learning, and game-based learning. There is evidence of a cause-effect relationship (multiple correlations) between the dependent variables: teaching of software engineering and teaching of programming with the independent variables: didactic models based on m-learning, e-learning, and b-learning, project-based learning, problem-based learning, artificial intelligence, and educational technology. It concludes by identifying the principal's studies (higher scientific productivity) and the most studied variables in the didactics of Informatics and Computing.

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Published

2022-10-01

How to Cite

Estrada-Molina, O. (2022). A Systematic Mapping of Variables Studied in Research Related to Education in Informatics And Computing. Journal of Engineering Education Transformations, 109–125. Retrieved from https://journaleet.in/index.php/jeet/article/view/229

Issue

Volume 36, Issue 2, October 2022

Section

Articles

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