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One hundred and sixty children 312–7 years of age (10M, 10F at each 6-month interval) were tested on a task that requires inhibitory control of action plus learning and remembering two rules. They were asked to say “day” whenever a black card with the moon and stars appeared and to say “night” when shown a white card with a bright sun. Children <5 years had great difficulty. They started out performing well, but could not sustain this over the course of the 16-trial session. Response latency...
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Social network analysis is used widely in the social and behavioral sciences, as well as in economics, marketing, and industrial engineering. The social network perspective focuses on relationships among social entities and is an important addition to standard social and behavioral research, which is primarily concerned with attributes of the social units. Social Network Analysis: Methods and Applications reviews and discusses methods for the analysis of social networks with a focus on...
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In this paper we suggest using general system theory (GST) as a unifying theoretical framework for science and technology education for all. Five reasons are articulated: the multidisciplinary nature of systems theory, the ability to engage complexity, the capacity to describe system dynamics and change, the ability to represent the relationship between the micro-level and macro-level of analysis, and the ability to bring together the natural and human worlds. The historical origins of...
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Two areas of learning research, research about the learning process and views about the learner, need to be considered to guide educational stakeholders in the task of successfully redesigning schools to promote learning. The most meaningful learning results from an instructional design based on learning research. Research in the application of systems theory in education has profound implications for curriculum, instruction, and assessment in schools.
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Much social and behavioral research involves hierarchical data structures. . . . Recent developments in the statistical theory of hierarchical linear models now afford an integrated set of methods for such applications. This introductory text explicates the theory and use of hierarchical linear models (HLM) through rich, illustrative examples and lucid explanations. The presentation remains reasonably nontechnical by focusing on three general research purposes—improved estimation of effects...
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