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Didactic strategies for the education of computational thinking from a gender perspective

A systematic review

Bibliographic Data

ID21445663
AuthorsYucnary‐Daitiana Torres‐Torres (0000-0003-4058-0620, Department of Research and Diagnostic Methods in Education I (MIDE I) Faculty of Education, National University of Distance Education (UNED) Madrid Spain), Marcos Román‐gonzález (0000-0001-8506-1715, Department of Research and Diagnostic Methods in Education I (MIDE I) Faculty of Education, National University of Distance Education (UNED) Madrid Spain), Juan‐carlos Pérez‐gonzález (0000-0003-4025-7516, Department of Research and Diagnostic Methods in Education II (MIDE II) Faculty of Education, National University of Distance Education (UNED) Madrid Spain)
Year2024
Volume59
Issue2
Publication date2024-06-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEuropean Journal of Education (JOURNAL)
Journal identifiersISSN: 0141-8211 • E-ISSN: 1465-3435
PublisherWiley (PUBLISHER • GB)
DOI10.1111/ejed.12640
LanguageEN
Citations received3
References cited55

Computational Thinking (CT) is crucial for the advancement of the STEM field, where there continues to be a lack of female representation. Teaching and learning (T/L) of CT should incorporate didactic strategies that aim to eliminate gender biases and integrate girls/women into this context. In response to the question, “What didactic strategies have been implemented in the T/L of CT in primary and secondary education?”. A systematic review was conducted following a PRISMA protocol specifically designed for this review. The study analysed Didactic Strategies (DS) and examined whether they incorporated the so‐called “minimum actions” (MA) proposed in this article as a strategy to integrate females into CT. The findings revealed a limited number of studies that implemented these actions. In conclusion, there is an urgent need to continue developing DS that incorporate these MA to effectively integrate girls and women into CT, allowing them to play a central role in its advancement and development

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Unique citing works3
Citations per year3
Citation span2025 - 2026 (2)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 3

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