A Data Science Analysis of Academic Staff Workload Profiles in Spanish Universities: Gender Gap Laid Bare

Autor/inn/en	Cabero, Ismael; Epifanio, Irene
Titel	A Data Science Analysis of Academic Staff Workload Profiles in Spanish Universities: Gender Gap Laid Bare
Quelle	In: Education Sciences, 11 (2021), Artikel 317 (18 Seiten)Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Verfügbarkeit
Zusatzinformation	ORCID (Cabero, Ismael) ORCID (Epifanio, Irene)
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	2227-7102
Schlagwörter	Gender Differences; Faculty Workload; Foreign Countries; College Faculty; Teacher Attitudes; Age Differences; Decision Making; Caring; Educational Quality; Housework; Family Work Relationship; Academic Rank (Professional); Intellectual Disciplines; Computer Assisted Instruction; Time Management; Universities; Working Hours; Spain + Suchen Sie Ihr Suchwort? Geschlechterkonflikt; Ausland; Fakultät; Lehrerverhalten; Age; Difference; Age difference; Altersunterschied; Decision-making; Entscheidungsfindung; Care; Pflege; Sorge; Betreuung; Quality of education; Bildungsqualität; Hausarbeit; Geisteswissenschaften; Computer based training; Computerunterstützter Unterricht; Zeitmanagement; University; Universität; Hours of work; Arbeitszeit; Spanien
Abstract	This paper presents a snapshot of the distribution of time that Spanish academic staff spend on different tasks. We carry out a statistical exploratory study by analyzing the responses provided in a survey of 703 Spanish academic staff in order to draw a clear picture of the current situation. This analysis considers many factors, including primarily gender, academic ranks, age, and academic disciplines. The tasks considered are divided into smaller activities, which allows us to discover hidden patterns. Tasks are not only restricted to the academic world, but also relate to domestic chores. We address this problem from a totally new perspective by using machine learning techniques, such as cluster analysis. In order to make important decisions, policymakers must know how academic staff spend their time, especially now that legal modifications are planned for the Spanish university environment. In terms of the time spent on quality of teaching and caring tasks, we expose huge gender gaps. Non-recognized overtime is very frequent. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2022/1/01