Authoring ILIAS-ready questions

Supported exercise types

The package exports the following main question types:

• cloze
• schoice
• mchoice
• num
• string

For cloze exercises, the gap subtypes num, string, schoice, and mchoice are mapped to the corresponding ILIAS gap elements.

Recommended cloze style

For new cloze exercises, the recommended style is to use exams::add_cloze() together with format_metainfo(). This keeps the question text and the cloze metadata synchronized.

library(exams)

n <- sample(20:30, 1)
mean_x <- sample(seq(70, 80, by = 0.5), 1)
choices <- c("t-test", "chi-squared test", "Wilcoxon signed-rank test")

# Inside the exercise body:
# How many observations are in the sample? `r add_cloze(n)`
# What is the sample mean? `r add_cloze(mean_x, tolerance = 0.1, digits = 1)`
# Which method is appropriate? `r add_cloze(choices[1], choices, type = "schoice")`
#
# Meta-information:
# exclozetype: `r format_metainfo("type")`
# exsolution: `r format_metainfo("solution")`
# extol: `r format_metainfo("tolerance")`

See the bundled file stats_cloze.Rmd for a full, self-contained example.

Choice questions

Single-choice and multiple-choice questions follow the standard R/exams pattern with answerlist() in the question and a logical answer key in the solution block.

Question
========
Which statement about p-values is correct?



Solution
========

Points and metadata

If you want imports to arrive with explicit scoring in ILIAS, include expoints in the exercise metadata.

Meta-information
================
extype: schoice
exsolution: 100
exname: P-value interpretation
exshuffle: TRUE
expoints: 1

For cloze exercises with several gaps, you can provide one point value per gap.