@inproceedings{e07db31cef7f4280bf6394f566792d01,
title = "Modeling math success using cohesion network analysis",
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.",
keywords = "Cohesion network analysis, Math success, NLP, Online learning",
author = "Crossley, {Scott A.} and Sirbu, {Maria Dorinela} and Mihai Dascalu and Tiffany Barnes and Lynch, {Collin F.} and Danielle McNamara",
note = "Funding Information: Acknowledgements. This research was supported in part by the National Science Foundation (DRL-1418378). Ideas expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation. In addition, this research was partially supported by the 644187 EC H2020 Realising an Applied Gaming Eco-system (RAGE) project and by the FP7 2008-212578 LTfLL project. Funding Information: This research was supported in part by the National Science Foundation (DRL-1418378). Ideas expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation. In addition, this research was partially supported by the 644187 EC H2020 Realising an Applied Gaming Eco-system (RAGE) project and by the FP7 2008-212578 LTfLL project. Publisher Copyright: {\textcopyright} Springer International Publishing AG, part of Springer Nature 2018.; 19th International Conference on Artificial Intelligence in Education, AIED 2018 ; Conference date: 27-06-2018 Through 30-06-2018",
year = "2018",
doi = "10.1007/978-3-319-93846-2_12",
language = "English (US)",
isbn = "9783319938455",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "63--67",
editor = "Rose Luckin and Kaska Porayska-Pomsta and {du Boulay}, Benedict and Manolis Mavrikis and {Penstein Ros{\'e}}, Carolyn and Bruce McLaren and Roberto Martinez-Maldonado and Hoppe, {H. Ulrich}",
booktitle = "Artificial Intelligence in Education - 19th International Conference, AIED 2018, Proceedings",
}