Here is a list of analytical techniques that have been used in digital learning environments by our community.
Factor analysis, principal components, and cluster analysis
Social network analyses
Bayes Nets or Markov Models
Classifiers (e.g. decision trees, decision rules)
General linear models (e.g., regression, HLM, ANOVA/ANCOVA)
Relationship mining (e.g., association rule, pattern mining)
Text mining or natural language processing
Visualization techniques (e.g., heat maps, learning curves)
Psychometric tests and models (e.g., reliability, IRT)
Ryan Baker’s MOOT is an excellent resource for learning more about each of these techniques.