Systematic Mapping of Variables Studied in Research Related to Education in Informatics And Computing
By: Molinal Estrada Odie
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Publisher: Pune Engineering Education Foundation 2022Edition: Vol, 36(2), October.Description: 109-138p.Subject(s): Humanities and Applied SciencesOnline resources: Click here
In:
Journal of engineering education transformations (JEET)Summary: 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, projectbased 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 causeeffect 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, elearning, 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.
| Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
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Articles Abstract Database
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School of Engineering & Technology Archieval Section | Not for loan | 2023-0382 |
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, projectbased 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 causeeffect 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, elearning, 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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