Abstract
This study examines math success within a blended undergraduate course using a Cohesion Network Analysis (CNA) approach while controlling for individual differences and click-stream variables that may also predict math success. Linear models indicated that math success was related to days spent on the forum and by students who more regularly posted in the online class forum and whose posts generally followed the semanticity of other students.
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CITATION STYLE
Crossley, S. A., Sirbu, M. D., Dascalu, M., Barnes, T., Lynch, C. F., & McNamara, D. S. (2018). Modeling math success using cohesion network analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10948 LNAI, pp. 63–67). Springer Verlag. https://doi.org/10.1007/978-3-319-93846-2_12
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