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The relationship between active learning, course innovation, and teaching Earth systems thinking: A structural equation modeling approach

机译:积极学习,课程创新与教学地球系统的关系:结构方程模型方法

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Earth systems thinking (EST), or thinking of the Earth as a complex system made up of interworking subsystems, has been shown to reflect the highest level of knowing and understanding in the geosciences. Previous work has found four frameworks of EST that repeatedly appear in the geoscience education literature. This study aims to quantitatively build on this work by employing structural equation modeling to understand the current state of EST teaching as shown by the 2016 iteration of the National Geoscience Faculty Survey (United States; n = 2615). Exploratory and confirmatory factor analyses were conducted on survey items to understand and develop three models, one for EST teaching practices, one for course changes, and one for active-learning teaching practices. Analyses revealed that reported EST teaching practices relate back to the four EST frameworks proposed in the literature. The three models explored in this study were used to build a full structural model, where it was hypothesized that active-learning teaching practices would predict EST course changes and EST teaching. However, the model revealed that EST course changes mediate, or bring about, the relationship between active-learning teaching practices and EST teaching. In other words, the relationship between active-learning and EST teaching practices is not direct. This implies the need for continued efforts to provide professional development opportunities in both active-learning teaching practices and EST, as active-learning practices are not sufficient to implicitly teach EST skills. Results also revealed that the teaching approaches that emphasize modeling and complexity sciences had the weakest relationship to the broader EST teaching practices, suggesting a need for more professional development opportunities as they relate to systems modeling, quantitative reasoning, and complexity sciences in the context of the Earth sciences.
机译:地球系统认为(EST)或思考地球作为由互通子系统组成的复杂系统,已被证明反映了地球科学中的最高知识和理解水平。以前的工作已经发现了四个框架的EST,反复出现在地球科学教育文学中。本研究旨在通过采用结构方程模型来定量地建立这项工作,以了解当前的EST教学状态,如2016年全国地球科学教师调查(美国; N = 2615)所示。在调查项目上进行了探索性和验证因素分析,以了解和开发三种模型,一个用于EST教学实践,一个用于课程的变化,一个用于主动学习教学实践。分析表明,报告的EST教学实践涉及文献中提出的四个EST框架。这项研究中探索的三种模型用于建立一个完整的结构模型,在那里假设主动学习教学实践将预测EST课程的变化和教学。然而,该模型显示EST课程改变调解,或带来主动学习教学实践与探引之间的关系。换句话说,主动学习和EST教学实践之间的关系并不直接。这意味着需要继续努力为主动学习教学实践和EST提供专业的发展机会,因为主动学习实践不足以隐含地教学的技能。结果还显示,强调建模和复杂性科学的教学方法具有与更广泛的教学实践的最薄弱关系,这表明需要更专业的发展机会,因为它们与系统建模,量化推理和复杂性科学相关联地球科学。

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