tandfonline.com har udgivet en rapport under søgningen “Teacher Education Mathematics”: ABSTRACT ABSTRACT The study of past ‘energy transitions’ are being reinterpreted as possible guides to a low-carbon future. But little is known about the historians who shaped how we understand our transition into a predominantly hydrocarbon-based energy system. Before energy history emerged as a subfield, historians John Nef, Edward Wrigley, and Rolf Sieferle already explained the Industrial Revolution as a result of coal use. In unleashing industrialism, they argued that coal took on an historically decisive role. These notions of energy determinism will be the central concern of this paper. In revisiting their lives and work, it will be argued that in pursuit of a low-carbon future, we should not ignore the grave concerns posed by fossil energy use nor… Continue Reading →
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tandfonline.com har udgivet en rapport under søgningen “Teacher Education Mathematics”: ABSTRACT ABSTRACT Understanding how teaching affects students’ attitudes and beliefs is notoriously difficult, specifically in a quickly evolving and societally relevant field such as genetics. The aim of this survey study is to capitalize our previous research and examine how teaching relates to Finnish secondary school students’ liking of, self-concept in and experienced utility of genetics, attitude towards gene technology and belief in genetic determinism. In this unique setting, we used as explanatory variables their teachers’ teaching emphases and learning materials, and as student-related factors, we used gender and the number of biology courses attended. Item-response theory with exploratory, confirmatory, and explanatory analyses were carried out to model the data. Teaching explained students’ attitudes and beliefs: if the teacher’s emphasis… Continue Reading →
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tandfonline.com har udgivet en rapport under søgningen “Teacher Education Mathematics”: ABSTRACT Formulae display:?Mathematical formulae have been encoded as MathML and are displayed in this HTML version using MathJax in order to improve their display. Uncheck the box to turn MathJax off. This feature requires Javascript. Click on a formula to zoom. ABSTRACT By the late nineteenth century, the scientific study of bedload transport had emerged as an offshoot of hydraulics and geomorphology. Since then, computing bedload transport rates has attracted considerable attention, but whereas other environmental sciences have seen their predictive capacities grow over time, particularly thanks to increased computing power, engineers and scientists are unable to predict bedload transport rates to within better than one order of magnitude. Why have we failed to improve our predictive capacity to any… Continue Reading →
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