Variable construction and causal modeling of online education messaging data: Initial results

EDM 2011 - Proceedings of the 4th International Conference on Educational Data Mining

Volumn , Issue , 2011, Pages 331-332

  Fancsali, S ^a,b  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b Product Strategy and Development INC   (United States)

Author keywords

Bayesian networks; Causal discovery; Causality; Dimensionality reduction; Online education; Variable construction

Indexed keywords

CAUSAL DISCOVERY; CAUSAL MODELING; CAUSALITY; DIMENSIONALITY REDUCTION; ON-LINE EDUCATION; ONLINE FORUMS; SEARCH PROCEDURES; TARGET LEARNING;

BAYESIAN NETWORKS; DATA MINING;

DISTANCE EDUCATION;

EID: 84857495209     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

1. ARNOLD, A., BECK, J., AND SCHEINES, R. 2006. Feature Discovery in the Context of Educational Data Mining: An Inductive Approach. Proceedings of the AAAI2006 Workshop on Educational Data Mining, Boston, MA, 7-13.
2. FANCSALI, S. forthcoming. Variable Construction for Predictive and Causal Modeling of Online Education Data. Proceedings of the First International Conference on Learning Analytics and Knowledge. Banff, Alberta, Canada.
3. PEARL, J. 2000. Causality: Models, Reasoning, and Inference. Cambridge UP.
4. SPIRTES, P., GLYMOUR, C., AND SCHEINES, R. 2000. Causation, Prediction, and Search. Second Edition. Cambridge, MA: MIT.