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  4. Visualising Bibliographic Metadata Using CAQDAS in the Research on the Gender Gap in STEM Studies in Higher Education
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Visualising Bibliographic Metadata Using CAQDAS in the Research on the Gender Gap in STEM Studies in Higher Education

Publication type
conference paper
Publication date
2023
Author(s)
Verdugo-Castro, S.
Sánchez-Gómez, M.ªC.
García-Holgado, A.
García-Peñalvo, F.J.
Costa, A.P.
Language
English
Keywords

Gender

Metadata

Stereotype

Visualization

Case Studies

Computer Aided Analys...

Computer Aided Instru...

Computer Assisted

Data Visualization

Literature Reviews

Qualitative Data

Qualitative Research

STEMM

Education

Data Analysis

Higher Education

Discipline(s)

STEM

Visualization

Abstract
Besides providing the consulted publication’s findings, the literature review can offer information through metadata. Computer-Assisted Qualitative Data Analysis Software (CAQDAS) can support visualising bibliometric metadata through RIS files. The usefulness is to provide an interactive image of the reality and actuality of scientific production. This article presents a case study to exemplify how metadata can be analysed and visualised using CAQDAS. The topic for the case study is the gender gap in STEM studies in higher education. The study aims to identify the value and usefulness of data visualisation in representing bibliometric data to support literature review processes. The phenomenon of the gender gap in the STEM education sector is used as a case study. The research questions addressed by the study are: (1) What does CAQDAS contribute to the results obtained?; (2) What are the possible causes of the gender gap? The analysis concludes that the cultural, social, educational, family, and peer group environment generates positive and negative force fields when deciding which studies to pursue; some people follow the patterns expected of them according to their gender. Finally, data visualisation helps understand the scientific evolution of a phenomenon and supports the research on a particular topic. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Part of
Lecture Notes in Networks and Systems
ISBN
9783031313455
DOI
10.1007/978-3-031-31346-2_23
Pagination
371-388
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