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