학술논문

Teaching Statistics and Data Analysis with R
Document Type
Journal Articles
Reports - Research
Source
Journal of Statistics and Data Science Education. 2023 31(1):18-32.
Subject
Statistics Education
Undergraduate Students
Programming Languages
Student Attitudes
Concept Formation
Textbooks
Electronic Publishing
Negative Attitudes
Computer Science Education
Introductory Courses
Attitude Change
Interdisciplinary Approach
Web 2.0 Technologies
Course Descriptions
Language
English
ISSN
2693-9169
Abstract
We developed an interactive online textbook that interleaves R programming activities with text as a way to facilitate students' understanding of statistical ideas while minimizing the cognitive and emotional burden of learning programming. In this exploratory study, we characterize the attitudes and experiences of 672 undergraduate students as they used our online textbook as part of a 10-week introductory course in statistics. Students expressed negative attitudes and concerns related to R at the beginning of the course, but most developed more positive attitudes after engaging with course materials, regardless of demographic characteristics or prior programming experience. Analysis of a subgroup of students revealed that change in attitudes toward R may be linked to students' patterns of engagement over time and students' perceptions of the learning environment.