Perceived usefulness of the introductory statistics course as a correlate of student engagement in statistics

R. Hassad
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Abstract

Some non-academic factors, particularly perceived usefulness, are salient determinants of student success, and engagement in a discipline. This study explored the association between college students’ ratings of the usefulness of an introductory statistics course, their beliefs about where statistics will be most useful, and their intentions to take another statistics course. A cross-sectional study of 106 students was conducted. The mean rating for usefulness was 4.7 (out of 7), with no significant difference by gender and age. Sixty-four percent reported that they would consider taking another statistics course, and that subgroup rated the course as more useful (p = .01). Thirty-five percent reported that statistics would be most useful for graduate school, 32% research, 14% their job, and 19% were undecided. The “undecided” students rated statistics as less useful (p = .001). Instructors should emphasize practical examples of the use of data in real-world problem-solving and decision-making. Qualitative research methods could help to elucidate these findings.
统计入门课程的感知有用性与学生参与统计相关
一些非学术因素,特别是感知有用性,是学生成功和参与一门学科的显著决定因素。本研究探讨了大学生对统计学入门课程有用性的评分,他们对统计学在哪里最有用的信念,以及他们选修另一门统计学课程的意图之间的联系。对106名学生进行了横断面研究。有用性的平均评分为4.7(满分7分),性别和年龄没有显著差异。64%的人报告说他们会考虑选修另一门统计学课程,并且该小组认为这门课程更有用(p = 0.01)。35%的人认为统计学对研究生最有用,32%的人认为统计学对研究最有用,14%的人认为统计学对他们的工作最有用,19%的人还没有决定。“未决定”的学生认为统计数据不太有用(p = .001)。教师应强调在现实问题解决和决策中使用数据的实际例子。定性研究方法可以帮助阐明这些发现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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