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Ottemo, Andreas; Berge, Maria; Silfver, Eva – Science Education, 2020
A diverse body of feminist scholarship has addressed the masculine orientation of Western engineering education for at least four decades. Among critiques specifically targeting curriculum, a recurrent line of argumentation highlights its reductionist framing and narrow focus on mathematics and technology. The argument is that these traits…
Descriptors: Cultural Influences, Gender Bias, Engineering Education, Undergraduate Study
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Witteveen, Dirk; Attewell, Paul – Science Education, 2020
The low number of baccalaureates in science, technology, engineering, and mathematics (STEM) is often viewed as problematic for the US's economic competitiveness, leading scholars to search for explanations for STEM retention. Our analyses of the Beginning Postsecondary Students Longitudinal Study indicate that the notion of a so-called…
Descriptors: STEM Education, Grading, Majors (Students), School Holding Power
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Fuselier, Linda C.; Jackson, J. Kasi; Stoiko, Rachel – Science Education, 2016
The nature of science (NOS) as described by education scholars is a critical component of scientific literacy and includes both rational and social aspects taught best in an explicit and reflective manner. NOS is frequently tied to a critical contextual empiricism (CCE) framework for knowledge production. Central to CCE is that objectivity is…
Descriptors: Scientific Principles, Scientific Literacy, College Science, Evolution
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Stieff, Mike; Scopelitis, Stephanie; Lira, Matthew E.; DeSutter, Dane – Science Education, 2016
Representational competence is a primary contributor to student learning in science, technology, engineering, and math (STEM) disciplines and an optimal target for instruction at all educational levels. We describe the design and implementation of a learning activity that uses concrete models to improve students' representational competence and…
Descriptors: Undergraduate Students, College Science, Science Education, Chemistry
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Boone, William J.; Townsend, J. Scott; Staver, John R. – Science Education, 2016
When collecting data, science education researchers frequently have multiple respondents evaluate multiple artifacts using multiple criteria. Herein, the authors introduce Multifaceted Rasch Measurement (MFRM) analysis and explain why MFRM must be used when "judges'" data are collected. The authors use data from elementary science…
Descriptors: Evaluation Methods, Elementary School Science, Methods Courses, Preservice Teacher Education