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Autor/inZeyer, Albert
TitelGender, Complexity, and Science for All: Systemizing and Its Impact on Motivation to Learn Science for Different Science Subjects
QuelleIn: Journal of Research in Science Teaching, 55 (2018) 2, S.147-171 (25 Seiten)Infoseite zur Zeitschrift
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ZusatzinformationORCID (Zeyer, Albert)
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0022-4308
DOI10.1002/tea.21413
SchlagwörterLearning Motivation; Gender Differences; Difficulty Level; Physics; Chemistry; Biology; Structural Equation Models; Cognitive Processes; Epistemology; Science Education
AbstractThe present study is based on a large cross-cultural study, which showed that a systemizing cognition type has a high impact on motivation to learn science, while the impact of gender is only indirect thorough systemizing. The present study uses the same structural equation model as in the cross-cultural study and separately tests it for physics, chemistry, and biology. The model was confirmed for physics and chemistry, but not for biology. This is interpreted as empirical evidence for a cognitive difference between the learning of hard sciences (like physics and chemistry) and life sciences (like biology) that reflects an epistemological difference between ordered (linear) and complex (non-linear) systems. It is concluded that a more prominent inclusion of complex issues into science teaching could motivate low and average systemizers, independent of their gender, for science learning, that is, could be a key to science for all. Thus, there is a mutual benefit between important 21st century's issues of science teaching and the need to foster students' motivation to learn science. (As Provided).
AnmerkungenWiley-Blackwell. 350 Main Street, Malden, MA 02148. Tel: 800-835-6770; Tel: 781-388-8598; Fax: 781-388-8232; e-mail: cs-journals@wiley.com; Web site: http://www.wiley.com/WileyCDA
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2020/1/01
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