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(This article was first published on <strong><a href="http://www.r-exams.org/general/welcome/"> R/exams</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<p>Welcome everybody, we are proud to introduce the brand new web page and<br>
blog <a rel="nofollow" href="http://www.r-exams.org/" target="_blank">http://www.R-exams.org/</a>. This provides a central access point for<br>
the <a rel="nofollow" href="http://www.r-exams.org/resources/" target="_blank">open-source software “exams”</a> implemented in the<br>
<a rel="nofollow" href="https://www.r-project.org/" target="_blank">R</a> system for statistical computing.<br>
R/exams is a one-for-all exams generator using (potentially) dynamic<br>
exercises written in R/Markdown or R/LaTeX and it can export a variety of<br>
formats from learning management systems to classical written exams.<br>
This post gives a brief overview of what has happened so far and what<br>
you can expect to find here in the next months.</p>
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<img alt="oneforall" src="http://www.r-exams.org/images/oneforall_logo.svg">
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<h4>Past</h4>
<p>The package was originally started more than a decade ago to facilitate<br>
classical written exams with randomized exercises for large-lecture courses.<br>
Like many other teachers of introductory statistics and mathematics courses,<br>
we were in need of infrastructure for conducting written exams with about 1,000-1,500<br>
students. A team effort of colleagues at WU Wirtschaftsuniversität Wien<br>
lead to a large collection of dynamic exercises and the software was eventually<br>
released at <a rel="nofollow" href="https://cran.r-project.org/package=exams" target="_blank">https://CRAN.R-project.org/package=exams</a>.</p>
<p>Over the years learning management systems (like<br>
<a rel="nofollow" href="https://www.moodle.org/" target="_blank">Moodle</a>,<br>
<a rel="nofollow" href="http://www.blackboard.com/" target="_blank">Blackboard</a>,<br>
<a rel="nofollow" href="https://www.openolat.com/" target="_blank">OLAT</a>, etc.)<br>
became easily available at virtually every university, creating a desire to<br>
employ the same dynamic exercises also for online tests and quizzes. Hence,<br>
the R/exams infrastructure was completely reimplemented allowing to export<br>
the same exercises not only to written exams (with automatic scanning<br>
and evaluation) but also to learning management systems, the live voting<br>
system <a rel="nofollow" href="https://www.arsnova.eu/" target="_blank">ARSnova</a>, as well as customizable standalone<br>
files in PDF, HTML, Docx, and beyond.</p>
<p>Despite (or rather because of) the flexibility of the software, novice R/exams<br>
users often struggled with adopting it because the documentation provided in<br>
the package is either somewhat technical and/or targeted towards more experienced<br>
R users.</p>
<h4>Present</h4>
<p>Hence, this web page and blog make it easy for new users to explore the possibilities<br>
of R/exams before reading about a lot of technical details. It also provides accessible<br>
guides to common tasks and examples for dynamic exercises with different complexity.<br>
For a first tour you can check out the <a rel="nofollow" href="http://www.r-exams.org/intro/oneforall" target="_blank">one-for-all approach</a> of<br>
the package based on (potentially) <a rel="nofollow" href="http://www.r-exams.org/intro/dynamic" target="_blank">dynamic exercise templates</a><br>
for generating large numbers of personalized exams/quizzes/tests, either for<br>
<a rel="nofollow" href="http://www.r-exams.org/intro/elearning" target="_blank">e-learning</a> or classical <a rel="nofollow" href="http://www.r-exams.org/intro/written" target="_blank">written exams</a> (with<br>
automatic evaluation).</p>
<p>Some <a rel="nofollow" href="http://www.r-exams.org/tutorials/" target="_blank">tutorials</a> already explain the installation of R/exams (with<br>
dependencies like LaTeX or pandoc) and the first steps in writing dynamic exercises<br>
using either Markdown or LaTeX markup along with randomization in R. There is<br>
also a <a rel="nofollow" href="http://www.r-exams.org/templates/" target="_blank">gallery of exercise templates</a>, ranging from basic multiple-choice<br>
questions with simple shuffling to more advanced exercises with random data, graphics,<br>
etc.</p>
<h4>Future</h4>
<p>For the next months we plan to write more tutorial blog posts that help to accomplish<br>
common tasks, e.g., hands-on guidance for exporting exercises from R to Moodle or<br>
tips how to write good randomized exercises. If you want to give us feedback or ask<br>
us to cover certain topics please feel free to <a rel="nofollow" href="http://www.r-exams.org/contact/" target="_blank">contact us</a> – be it via e-mail,<br>
discussion forum, or twitter. Also if you want to link R/exams-based materials or share<br>
share experiences of using R/exams in a guest post, please let us know.</p>
<h4>Thanks</h4>
<p>Big shout to all <a rel="nofollow" href="http://www.r-exams.org/contact/#authors-and-contributors" target="_blank">contributors</a> that helped R/exams to grow so much<br>
over the last years. A special thank you goes to Patrik Keller, Hanna Krimm, and Reto<br>
Stauffer who established the infrastructure for this web page (using R/Markdown and Jekyll)<br>
and designed graphics/icons/photos/etc. Thanks also to everyone sharing this post,<br>
especially on <a rel="nofollow" href="http://www.r-bloggers.com/" target="_blank">http://www.R-bloggers.com/</a> and <a rel="nofollow" href="https://rweekly.org/" target="_blank">https://RWeekly.org/</a>.</p>
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<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="http://www.r-exams.org/general/welcome/"> R/exams</a></strong>.</div>
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