Handbook of Research on Science Education, Volume II, Volume 2
Norman G. Lederman, Sandra K. Abell
Routledge, Jul 11, 2014 - Education - 970 pages
Building on the foundation set in Volume I—a landmark synthesis of research in the field—Volume II is a comprehensive, state-of-the-art new volume highlighting new and emerging research perspectives.
The contributors, all experts in their research areas, represent the international and gender diversity in the science education research community. The volume is organized around six themes: theory and methods of science education research; science learning; culture, gender, and society and science learning; science teaching; curriculum and assessment in science; science teacher education. Each chapter presents an integrative review of the research on the topic it addresses—pulling together the existing research, working to understand the historical trends and patterns in that body of scholarship, describing how the issue is conceptualized within the literature, how methods and theories have shaped the outcomes of the research, and where the strengths, weaknesses, and gaps are in the literature.
Providing guidance to science education faculty and graduate students and leading to new insights and directions for future research, the Handbook of Research on Science Education, Volume II is an essential resource for the entire science education community.
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... of the editor to be identified as the author of the editorial material, ... are used only for identification and explanation without intent to infringe.
Based on a literature review, the researchers identified a few key components that reportedly influence students' motivation in science learning, ...
The recommended sample size of 40 students per group would allow for identifying medium effect sizes (f > .25); for identifying small effect sizes (f> .1), ...
Designs, Samples, and Methods of Analysis One important decision following the establishment of a strong theoretical framework as well as the identification ...
Item fit can be thought of as a technique by which one can identify items that may not lie on the same measurement scale of the variable as the majority of ...
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Handbook of Research on Science Education, Volume 1
Sandra K. Abell,Norman G. Lederman
Limited preview - 2007