DEVELOPING STATISTICAL UNDERSTANDING AND OVERCOMING ANXIETY VIA DROP-IN CONSULTATIONS

Q3 Social Sciences Statistics Education Research Journal Pub Date : 2020-02-29 DOI:10.52041/SERJ.V19I1.127
Gizem Intepe, Donald Shearman
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引用次数: 3

Abstract

Students in many Australian universities start their studies mathematically underprepared as there are no prerequisites for mathematics, and assumed knowledge requirements are often overlooked. Many degrees include at least one statistics subject for which students require a reasonable level of mathematical ability to successfully complete. Students’ efforts to grasp quantitative skills often lead to feelings of anxiety, stress, and lack of self-confidence. The Mathematics Education Support Hub (MESH) at WSU provides free support in mathematics and statistics to all students, both undergraduate and postgraduate, to increase their engagement, understanding, and abilities in statistics as well as to overcome their anxiety. In this paper we focus on the drop-in consultation service, which provides “just in time” help in campus libraries. Data is collected for every consultation, which enabling an investigation in relation to the mathematics background of students and the problematic topics in statistics. Text mining is used to examine students’ queries to identify the topics in statistics subjects that students struggle most with. Outcomes of this analysis can be used by statistics instructors and mathematics support centres to improve students’ experience in learning and to help to reduce statistics anxiety in future generations of statistics students. First published February 2020 at Statistics Education Research Journal Archives
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发展对统计的理解,通过上门咨询克服焦虑
许多澳大利亚大学的学生在开始数学学习时没有做好充分的准备,因为数学没有先决条件,并且通常忽略了假定的知识要求。许多学位至少包括一门统计学科,学生需要合理的数学能力才能成功完成。学生努力掌握定量技能往往会导致焦虑、压力和缺乏自信。WSU的数学教育支持中心(MESH)为所有本科生和研究生提供数学和统计学方面的免费支持,以增加他们对统计的参与、理解和能力,并克服他们的焦虑。本文重点研究了在校园图书馆提供“及时”帮助的上门咨询服务。每次咨询都会收集数据,从而可以对学生的数学背景和统计学中的问题进行调查。文本挖掘用于检查学生的查询,以确定学生最难以理解的统计学主题。统计教师和数学支持中心可以利用这一分析的结果来改善学生的学习体验,并帮助减少未来几代统计学生的统计焦虑。首次发表于2020年2月的《统计教育研究期刊档案》
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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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