Causal Inference and Bias in Learning Analytics: A Primer on Pitfalls Using Directed Acyclic Graphs.
Joshua WeidlichDragan GasevicHendrik DrachslerPublished in: J. Learn. Anal. (2022)
Keyphrases
- learning analytics
- causal inference
- directed acyclic graph
- causal models
- observational data
- causal discovery
- educational data mining
- learning analytics and knowledge
- random variables
- conditional independence
- additive noise
- structural learning
- causal relationships
- directed graph
- abductive reasoning
- experimental data
- discrete data
- bayesian networks
- latent variables
- social network analysis
- frequency domain
- denoising