@inproceedings{9d262ce3a7024a5ea67fddd74acd6ac1,
title = "Using log data to predict response behaviors in classroom discussions",
abstract = "The Comprehension Seeding system allows students to respond to an open-ended question using tablet computers; the system provides formative feedback to teachers to facilitate discussion and encourage students to engage in reflective behaviors. Data from a semester-long intervention suggested that few students engaged in this reflective process, leading us to question under what conditions the reflection process does or will occur. Using logistic regression, we investigated different ways the system was used, and what types of usage lead to desired, reflective behavior.",
keywords = "classroom discussion, classroom response technology, data mining",
author = "Ruth Wylie and Brandon Helding and Robert Talbot and Michelene Chi and Susan Trickett and Nielsen, {Rodney D.}",
year = "2014",
doi = "10.1007/978-3-319-07221-0_101",
language = "English (US)",
isbn = "9783319072203",
volume = "8474 LNCS",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "670--671",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
note = "12th International Conference on Intelligent Tutoring Systems, ITS 2014 ; Conference date: 05-06-2014 Through 09-06-2014",
}