Log files from adaptive Exploratory Learning Environments
can contain prohibitively large quantities of data
for visualisation and analysis.
Moreover, it is hard to know in advance what data is required for analytical purposes.
Using a microworld for secondary algebra as a case study,
we discuss how students' interaction data
can be transformed into a data warehouse
in order to allow its visualisation and exploration using
online analytical processing (OLAP) tools.
We also present some additional, more targeted,
visualisations of the students' interaction data.
We demonstrate the possibilities that these visualisations provide for exploratory data analysis, enabling confirmation or contradiction of expectations that pedagogical experts may have about the system and
ultimately providing both empirical evidence and insights
for its further development
