@inproceedings{27025b2b4f52490eb84a21e6b408985d,
title = "Towards Understanding Expert Coding of Student Disengagement in Online Learning",
abstract = "Gaming the system, a behavior where students disengage from a learning environment and attempt to succeed by exploiting properties of the system, has been shown to be associated with lower learning. Machine learned and knowledge engineered models have been created to identify gaming behaviors, but few efforts have been made to precisely identify how experts code gaming behaviors. In this paper, we used cognitive task analysis to elicit knowledge about how experts code students as gaming or not in Cognitive Tutor Algebra. We show how building a cognitive model of this process gave us insights about the behaviors gaming is composed of.",
keywords = "Cognitive Tutor, Gaming the system, cognitive modeling, expert coding",
author = "Luc Paquette and \{de Carvalho\}, \{Adriana M.J.A.\} and Baker, \{Ryan S.\}",
note = "This research was supported by a Fonds de recherche du Qu{\'e}bec - Nature et technologies post-doctoral fellowship and by National Science Foundation grant \#SBE-0836012.; 36th Annual Meeting of the Cognitive Science Society, CogSci 2014 ; Conference date: 23-07-2014 Through 26-07-2014",
year = "2014",
language = "English (US)",
series = "Proceedings of the 36th Annual Meeting of the Cognitive Science Society, CogSci 2014",
publisher = "The Cognitive Science Society",
pages = "1126--1131",
booktitle = "Proceedings of the 36th Annual Meeting of the Cognitive Science Society, CogSci 2014",
}