<p>This is the online supplement to the paper <em>Insights from Deploying a Model-based Adaptive Fact-Learning System in a University Course</em>.</p>
<h2>Overview of directories and files</h2>
<p>Contains the anonimysed data, separated by cohort, as <code>.rda</code> files.
Each <code>.rda</code> file contains the following data frames:
- <code>data</code>: trial-level data recorded from the learning app;
- <code>exam.item</code>: exam scores on the subset of items that were part of the practice material;
- <code>grades</code>: final exam grades;
- <code>study_time</code> (2018 cohort only): responses to the study time questionnaire.</p>
<p>Contains the R scripts used to perform the analyses reported in the paper, as well as additional analyses.
The analyses are divided over several <code>.Rmd</code> files.
Each <code>.Rmd</code> file is accompanied by an <code>.html</code> output file with the same name.
Aside from the first file, each of these files can be re-run on its own to reproduce the analysis.</p>
<li><code>01-prepare-data</code>: converts raw data (not included in this supplement) into data files in <code>/data</code>.</li>
<li><code>02-sample-statistics</code>: descriptive statistics of the sample;</li>
<li><code>03-usage</code>: analysis of when and how students used the system;</li>
<li><code>04-exam-performance</code>: analysis of link between system usage and exam performance;</li>
<li><code>05-study-time</code>: analysis of measured and self-reported study time;</li>
<li><code>06-performance-during-study</code>: analysis of performance during study sessions.</li>
<p>Contains <code>.pdf</code> files of the plots created by the analysis scripts.</p>