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This vignette helps instructors decide whether to target
learnr or quarto-live when converting existing
R Markdown or Quarto material.
Use learnr when the course already supports RStudio or
Shiny-based tutorials and when gradethis feedback is
useful. Use quarto-live when browser-based execution is
preferred and the teaching project has the Quarto live extension
installed.
library(tutorizeR)
example_dir <- system.file("examples", "example_course_module", package = "tutorizeR")
work_dir <- file.path(tempdir(), "tutorizeR-formats")
dir.create(work_dir, recursive = TRUE, showWarnings = FALSE)
file.copy(file.path(example_dir, "lesson-source.qmd"), work_dir, overwrite = TRUE)
file.copy(file.path(example_dir, "student_activity.csv"), work_dir, overwrite = TRUE)
qb <- load_question_bank(file.path(example_dir, "question-bank"))
learnr_report <- tutorize(
input = file.path(work_dir, "lesson-source.qmd"),
output_dir = work_dir,
format = "learnr",
assessment = "both",
question_bank = qb,
overwrite = TRUE,
verbose = FALSE
)
live_report <- tutorize(
input = file.path(work_dir, "lesson-source.qmd"),
output_dir = work_dir,
format = "quarto-live",
assessment = "both",
question_bank = qb,
overwrite = TRUE,
verbose = FALSE
)When targeting quarto-live, install the extension in the
teaching project:
Generated output should be reviewed in the environment where students will use it, because package availability and browser execution settings can differ.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.