Intro stats with R: Easing the transition to software for beginners
summary
Shared set of Shiny apps built with learnr guides beginners from clickable plots to writing variable names and reading R output, using Titanic and Wine datasets and Shiny pre-lab exercises that fill in code lines and show immediate plots and t-test output. Tools reveal the code versus built-in behavior, use an eval(parse) workaround for flexibility, and report outcomes from 108 students surveyed across three 35-student sections showing higher lab usefulness and increased confidence with plots.
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chapters (23)
- 0:00Intro
- 0:38Outline
- 1:28Courses with Rat Cal Poly
- 2:35Advantages of Coding in Intro Classes
- 3:26Real World Relevance
- 4:14Installation and File Management
- 5:16Challenges
- 6:07Fear Factor
- 6:34Example: Wine data
- 6:54I supply the code
- 7:15Reproduce my process
- 7:47Students as statisticians
- 8:29The Big Idea
- 9:40Principles
- 14:00Students recognize applicability
- 14:43Students are proud of their work
- 15:06Students gained skills
- 15:31Other topics summary
- 15:51Student Feedback
- 16:36With versus without the pre-lab exercises
- 17:07Takeaway: Exercises helped the transition
- 17:34What worked
- 17:48What needs work
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