notebooks

This folder contains notebooks to replicate analyses and figures from the paper. Notebooks are generally ordered according to when analyses are described or figures appear in the paper.

main/

code to reproduce analyses and figures from the main text

• 1_model-course-content.ipynb – code to fit the topic model, transform lectures & quizzes, and generate Figure 2C
• 2_topic-variability-fig.ipynb – code to generate Figure 3 and compute related stats
• 3_lecture-question-timeseries-fig.ipynb – code to generate Figure 4
• 4_reconstructing-knowledge.ipynb – code to estimate dynamic knowledge traces, generate Figure 5, and compute related stats
• 5_predictive-analyses.ipynb – code to generate Figure 6
• 6_knowledge-maps.ipynb – code to construct knowledge maps and generate Figure 7
• 7_parse_demographics.ipynb – code to compile demographic data described in Methods
• 8_get-transcripts.ipynb – code to fetch automated transcripts from the YouTube API as described in Methods

supp/

code to reproduce tables and figures from the Supplementary Materials document

• 1_tables.ipynb – code to generate Supplementary Tables 1 & 2
• 2_topic-word-distributions-fig.ipynb – code to generate Supplementary Figure 1
• 2_topic-weight-fig.ipynb – code to generate Supplementary Figure 2 and compute related stats
• 3_individual-maps.ipynb – code to generate Supplementary Figures 2–6