Attitudinal changes in face-to-face and online statistical reasoning learning environments

Abstract

Attitudes toward statistics play an important role in statistical understanding, postsecondary decisions, and a lifelong relationship with statistics. Unfortunately, the average undergraduate student tends to view statistics as less interesting and less valuable after completing an introductory statistics course. The product of several decades of statistics education reform, a statistical reasoning learning environment (SRLE) has shown some positive early results in cognitive domains and may impact attitudes as well. In this study, four classes of introductory undergraduate statistics (two fully online, two face-to-face) were designed as SRLEs. Students (n = 83) completed a pretest and posttest version of the Survey of Attitudes Toward Statistics-36 © . Both online and face-to-face sections showed average gains in Interest and Value that were higher than those reported in a large reference group, and these gains were practically significant.

Making sense of students’ errors in solving problems related to measures of dispersion

“…Statistical reasoning and thinking involves interpretation and making inferences of the combined ideas about data and chance. It is thus important to ensure students gaps the important statistical conceptual understanding such as distribution, central limit theorem, measure of dispersion, association, uncertainty, [84], as well as positive attitudinal changes towards statistics learning [85]. Some of the activities include using real world data, integration of appropriate technological tools, focus on statistical ideas rather than procedures, promote classroom discourse, and using proper assessment to measure and monitor the development of students' statistical learning.…”

What Methods are used for Statistical Reasoning Learning?: A Systematic Literature Review

“…From six methods, three articles reported the Reasoning Learning Environment (SRLE) method as the best solution for implementing statistical reasoning learning. According to (Showalter 2021), SLRE is an appropriate and interesting method in learning statistics. The students can describe the data very well and they began to be interested in the statistic.…”