共查询到20条相似文献，搜索用时 31 毫秒
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Kirsi Tirri 《International Journal of Educational Research》2011,50(3):159-165
The purpose of the study was to identify the components of holistic school pedagogy as identified by a sample of Finnish secondary school teachers and students from two schools. Holistic pedagogy concerns the development of the whole student and acknowledges the cognitive, social, moral, emotional and spiritual dimensions of education. The data were gathered in spring 2008 and include 19 interviews of Finnish secondary school teachers of different subjects and 37 interviews of their students. The teachers and students came from two schools that both emphasize mathematics in their curricula. Analysis of the teachers’ and students’ interviews revealed three different components in holistic school pedagogy. These components were values and worldviews, field-invariant pedagogical components (which are important regardless of the content or the subject) and field-dependent pedagogical components (subject- or context-specific issues, such as pedagogical content knowledge of mathematics or the type of school). Holistic school pedagogy also emphasized the importance of the whole school community for the best pedagogical practices in schools. 相似文献
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This article describes a set of computerized tools that support the design and evaluation of competency-based training programs. The training of complex skills such as air traffic control and process control requires a competency-based approach that focuses on the integration and coordination of constituent skills and transfer of learning. At the heart of the training are authentic whole-task practice situations. The instructional design tools are based on van Merriënboer's 4C/ID* methodology (1997). The article describes a training design tool (Core) that supports the analysis and design for competency-based training programs and an evaluation tool (Eval) that supports the subsequent revision of this training design. 相似文献
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Joseph G. Eisenhauer 《Teaching Statistics》2021,43(1):21-27
Statistical methods are increasingly being used to integrate findings from the ever‐expanding universe of empirical research. Meta‐analysis encompasses various techniques for synthesizing summary statistics, and mega‐analysis pools raw data across studies. This paper offers an introduction to meta‐analysis and mega‐analysis that complements the study of analysis of variance (ANOVA). After a brief conceptual discussion, we provide simple numerical examples. 相似文献