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An Analysis of the Perceptions and Resources of Large University Classes

机译:大型大学班级的认知与资源分析

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摘要

Large class learning is a reality that is not exclusive to the first-year experience at midsized, comprehensive universities; upper-year courses have similarly high enrollment, with many class sizes greater than 200 students. Research into the efficacy and deficiencies of large undergraduate classes has been ongoing for more than 100 years, with most research associating large classes with weak student engagement, decreased depth of learning, and ineffective interactions. This study used a multidimensional research approach to survey student and instructor perceptions of large biology classes and to characterize the courses offered by a department according to resources and course structure using a categorical principal components analysis. Both student and instructor survey results indicated that a large class begins around 240 students. Large classes were identified as impersonal and classified using extrinsic qualifiers; however, students did identify techniques that made the classes feel smaller. In addition to the qualitative survey, we also attempted to quantify courses by collecting data from course outlines and analyzed the data using categorical principal component analysis. The analysis maps institutional change in resource allocation and teaching structure from 2010 through 2014 and validates the use of categorical principal components analysis in educational research. We examine what perceptions and factors are involved in a large class that is perceived to feel small. Our analysis suggests that it is not the addition of resources or difference in the lecturing method, but it is the instructor that determines whether a large class can feel small.
机译:大班学习是不仅仅存在于中型综合性大学的第一年经验中的现实。高年级课程的入学率同样很高,许多班级人数超过200名学生。大型本科班级的有效性和不足的研究已经进行了100多年,大多数研究都将大型班级与学生的参与度低,学习深度降低和无效互动联系在一起。这项研究使用多维研究方法来调查学生和教师对大型生物学课程的看法,并使用分类主成分分析法根据资源和课程结构来表征部门提供的课程。学生和教师的调查结果均表明,一堂大课大约有240名学生。大类被识别为非人格类,并使用外部限定词进行分类;但是,学生确实发现了使班级感觉更小的技巧。除了定性调查外,我们还尝试通过从课程大纲中收集数据来量化课程,并使用分类主成分分析法对数据进行分析。该分析描绘了2010年至2014年资源分配和教学结构的机构变化,并验证了分类主成分分析在教育研究中的使用。我们研究在感觉很小的一个大类中涉及哪些观念和因素。我们的分析表明,讲授方法不是资源的增加或讲授方法的差异,而是由教师决定大班学生是否会感到小。

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