This repository contains the code and resources for the research publication "Learner Models: Design, Components, Structure, and Modelling". The goal of this project is to explore learner models in adaptive e-learning environments, with a focus on modelling learner models. We will look at learner models from the perspective of computer science and pedagogy to answer the major question: What do learner models look like and how are they filled, kept up-to-date, and used? 

This repository serves to ensure the reproducibility of the results and to create transparency. The repository includes the following components:

- Data: Raw and processed datasets used in the research.
- Tools: An interactive visualization tool to visualize the data and the visualization scripts for the UpSetPlots used in the article.
- Results: Preprocessed results, charts, figures, and analysis outputs.
- Documentation: A detailed description of the methodology, experiments, and findings.
- Experimental: Possible ideas and next steps from the results of the systematic literature review (e.g., a classifier that assigns the components of the new created taxonomy).