eCOTS 2022 Workshop
Nicholas J. Horton and Benjamin S. Baumer
May 19, 2022
Link to Dana Center Design Principles
The course supports students in developing the tenacity, persistence, and perseverance necessary for learning data science, for using mathematics and statistics to tackle authentic problems, and for being successful in post-high school endeavors.
Please take four minutes in groups to briefly discuss how you have incorporated Growth Mindset into your courses.
The group leader (person whose last name comes first in the alphabet) is asked to share one or two examples that arose in the discussion which resonated for the group.
Thanks to Julia Evans!
Student question: How do I convert a variable with different numeric codes to a categorical variable that combines some of the groups?
Possible response by instructor, (see reprex.R
)
reprex::reprex({
suppressWarnings(library(tidyverse))
x <- c(3, 2, 1, 1, 4, 5, 6)
ds <- tibble(x) %>%
mutate(x_grp =
case_when(
x %in% c(1, 2, 3) ~ "sustainable",
x == 4 ~ "experimental",
x %in% c(5, 6) ~ "fossil fuel"
)
)
ds
})
shiny01
) with single reactive input and single reactive outputshiny02
) then (in groups) add one additional bell or whistleshiny03
)