interpret_exercises

internal

The main purpose of this package is to streamline the
generation of exams that include random elements in exercises.
Exercises can be defined in a table, based on text and figures, and
may contain gaps to be filled with provided options. Exam documents
can be generated in various formats. It allows us to generate a
version for conducting the assessment and another version that
facilitates correction, linked through a code.

Jose Samos

rexer

Random Exercises and Exams Generator

Universidad de Granada 

interpret_exercises function

<dl><dt>exercises</dt>
<dd>A data frame, exercises.</dd>
<dt>exam_number</dt>
<dd>An integer, exam sequence number</dd>
<dt>random</dt>
<dd>A boolean, is random generation.</dd>
<dt>reorder</dt>
<dd>A boolean, reorder exercises.</dd>
<dt>delivery</dt>
<dd>A boolean, is delivery version.</dd></dl>

Arguments

interpret exercises — interpret_exercises

<dl>

<dt>exercises</dt>
<dd>A data frame, exercises.</dd>


<dt>exam_number</dt>
<dd>An integer, exam sequence number</dd>


<dt>random</dt>
<dd>A boolean, is random generation.</dd>


<dt>reorder</dt>
<dd>A boolean, reorder exercises.</dd>


<dt>delivery</dt>
<dd>A boolean, is delivery version.</dd>

</dl>

interpret_exercises: interpret exercises

Description

Usage

Value

Arguments