解决学习统计学的焦虑:红包之谜

Pub Date : 2023-06-12 DOI:10.1111/dsji.12294
Melanie A. Robinson, Jean-François Soublière, Marine Agogué, Denis A. Grégoire, Tuvana Rua, Yves Plourde
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引用次数: 0

摘要

大多数管理学研究生课程要求学生进行实质性的研究项目。然而,很少有管理专业的学生能够熟练掌握实现此类定量项目所需的统计技术。这可能会导致学生的焦虑和压力,这对教师提出了挑战,要求他们设计出通过统计分析来建立学生自我效能感的方法。根据基于游戏的学习原则,我们开发了一个练习来帮助学生在研究生水平的研究方法课程中实践这些统计技术。围绕四个游戏化的挑战设计,学生们执行基本的统计分析(相关性、t检验和简单的线性回归)来解决谜题,并解锁隐藏在神秘红包中的奖励。我们在七次场合中使用了这个练习(在方法课程中使用了五次,在研究生课程预备课程中使用了两次)。在2021年秋季推出后,我们观察到学生们对这项运动很投入,也很热情。为了更系统地确定其有效性,我们使用前测/后测设计(N = 84)在随后的五个部分收集数据,这些数据表明,统计自我效能感在练习后增加。最后,我们建议我们的练习可以适用于其他学习环境,如管理和以统计为中心的课程。
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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Tackling the anxiety of learning statistics: The mystery of the red envelope

Most graduate programs in management require students to carry out a substantive research project. However, few management students have a comfortable command of the statistical techniques needed to realize such quantitative projects. This can lead to student anxiety and stress, which challenges instructors to devise ways to build students’ self-efficacy with statistical analysis. Drawing on game-based learning principles, we developed an exercise to help students in a graduate-level research methods course practice these statistical techniques. Designed around a series of four gamified challenges, students perform basic statistical analyses (correlations, t-tests, and simple linear regression) to solve puzzles and unlock a reward hidden in a mysterious red envelope. We used the exercise on seven occasions (five times in the methods course and twice in a graduate program preparatory course). After launching it in fall 2021, we observed that students were engaged and enthusiastic about the exercise. To ascertain its effectiveness more systematically, we collected data in five subsequent sections using a pretest/posttest design (N = 84) which showed that perceptions of statistics self-efficacy increased following the exercise. We conclude by suggesting that our exercise can be tailored to other learning contexts such as management and statistics-centered courses.

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