跨越学科鸿沟:研究生助教的统计学视角

Q3 Social Sciences Statistics Education Research Journal Pub Date : 2022-02-28 DOI:10.52041/serj.v21i1.14
K. Findley
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引用次数: 1

摘要

研究生助教(GTA)在许多数学和统计系的入门课程中发挥着重要的教学作用。因此,许多GTA对来自一系列学科的学生的最初统计印象有第一手的影响。但作为该学科的同时学习者,统计学专业的GTA仍在形成他们的统计学和统计学教学概念。使用多个案例研究设计,我对四名第一年的统计GTA进行了一项纵向研究,旨在捕捉他们与统计相关的经验和概念。本文强调了GTA所表达的几个重要的学科观点和紧张关系。除了研究他们的学科概念外,我还讨论了参与者的统计观点与他们对入门统计学的教学观点之间值得注意的联系。调查结果显示,参与者很难协调如何将真实的统计实践转化为入门课程。讨论了对GTA培训的影响。
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NAVIGATING A DISCIPLINARY CHASM: THE STATISTICAL PERSPECTIVES OF GRADUATE TEACHING ASSISTANTS
Graduate Teaching Assistants (GTAs) carry a substantial instructional role in introductory courses for many mathematics and statistics departments. As a result, many GTAs have first-hand influence on the initial statistical impressions of students from a range of disciplines. But as simultaneous learners of the discipline themselves, GTAs in statistics are still forming their conceptions of statistics and statistics instruction. Using multiple case study design, I conducted a longitudinal study with four, first-year statistics GTAs aimed at capturing their experiences and notions related to statistics. This paper highlights several important disciplinary perspectives and tensions expressed by the GTAs. In addition to examining their disciplinary notions, I also discuss noteworthy connections between the participants’ statistical perspectives and their pedagogical views for introductory statistics. Findings reveal that the participants struggled to reconcile how authentic statistical practice could be translated into the introductory curriculum. Implications for GTA training are discussed.
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来源期刊
Statistics Education Research Journal
Statistics Education Research Journal Social Sciences-Education
CiteScore
1.30
自引率
0.00%
发文量
46
期刊介绍: SERJ is a peer-reviewed electronic journal of the International Association for Statistical Education (IASE) and the International Statistical Institute (ISI). SERJ is published twice a year and is free. SERJ aims to advance research-based knowledge that can help to improve the teaching, learning, and understanding of statistics or probability at all educational levels and in both formal (classroom-based) and informal (out-of-classroom) contexts. Such research may examine, for example, cognitive, motivational, attitudinal, curricular, teaching-related, technology-related, organizational, or societal factors and processes that are related to the development and understanding of stochastic knowledge. In addition, research may focus on how people use or apply statistical and probabilistic information and ideas, broadly viewed. The Journal encourages the submission of quality papers related to the above goals, such as reports of original research (both quantitative and qualitative), integrative and critical reviews of research literature, analyses of research-based theoretical and methodological models, and other types of papers described in full in the Guidelines for Authors. All papers are reviewed internally by an Associate Editor or Editor, and are blind-reviewed by at least two external referees. Contributions in English are recommended. Contributions in French and Spanish will also be considered. A submitted paper must not have been published before or be under consideration for publication elsewhere.
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