Using Large Data Sets for Open-Ended Inquiry in Undergraduate Science Classrooms
Using Large Data Sets for Open-Ended Inquiry in Undergraduate Science Classrooms
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DOI：
10.1093/biosci/bix118
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发表时间：
2017-12-01
期刊：
影响因子：
10.1
通讯作者：
Hunter, William
中科院分区：
文献类型：
--
作者：
O'Reilly, Catherine M.;Gougis, Rebekka D.;Hunter, William
分析和综合大型和复杂的数据集是科学研究中越来越重要的组成部分。为了让本科生接触这些数据集并培养有价值的数据分析技能，一组环境科学家和教育研究人员创建了EDDIE项目（环境数据驱动的调查和探索）。项目EDDIE是一个教学协作，开发和评估灵活的模块，使用公开的，大型数据集，让学生探索生物，地球和环境科学的一系列概念。这些模块已在一系列课程，班级规模和机构中实施。我们评估了八门课程的六个模块，共教授了1380名学生。EDDIE模块使这些学生使用电子表格软件的能力以及他们对如何使用大型复杂数据集来解决科学问题的概念理解得到了显着提高。此外，学生们报告了积极和翔实的经验，使用大型数据集，以探索开放式的问题。
Analysis and synthesis of large and complex data sets are increasingly important components of scientific research. To expose undergraduate students to these data sets and to develop valuable data-analysis skills, a team of environmental scientists and education researchers created Project EDDIE (Environmental Data-Driven Inquiry and Exploration). Project EDDIE is a pedagogical collaborative that develops and assesses flexible modules that use publicly available, large data sets that allow students to explore a range of concepts in the biological, earth, and environmental sciences. These modules have been implemented in a range of courses, class sizes, and institutions. We assessed six modules over eight courses, which were taught to a total of 1380 students. EDDIE modules led to significant improvements in these students' competence using spreadsheet software, as well as their conceptual understanding of how to use large, complex data sets to address scientific problems. Furthermore, the students reported positive and informative experiences using large data sets to explore open-ended questions.