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» Identifiability: A Fundamental Problem of Student Modeling
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UM
2007
Springer
13 years 10 months ago
Identifiability: A Fundamental Problem of Student Modeling
In this paper we show how model identifiability is an issue for student modeling: observed student performance corresponds to an infinite family of possible model parameter estimat...
Joseph E. Beck, Kai-min Chang
EDM
2009
105views Data Mining» more  EDM 2009»
13 years 2 months ago
Subspace Clustering of Skill Mastery: Identifying Skills that Separate Students
Abstract. In educational research, a fundamental goal is identifying which skills students have mastered, which skills they have not, and which skills they are in the process of ma...
Rebecca Nugent, Elizabeth Ayers, Nema Dean
ITS
2010
Springer
171views Multimedia» more  ITS 2010»
13 years 9 months ago
Identifying Problem Localization in Peer-Review Feedback
Abstract. In this paper, we use supervised machine learning to automatically identify the problem localization of peer-review feedback. Using five features extracted via Natural L...
Wenting Xiong, Diane J. Litman
ITS
2004
Springer
155views Multimedia» more  ITS 2004»
13 years 10 months ago
Modeling the Development of Problem Solving Skills in Chemistry with a Web-Based Tutor
This research describes a probabilistic approach for developing predictive models of how students learn problem-solving skills in general qualitative chemistry. The goal is to use ...
Ron Stevens, Amy Soller, Melanie Cooper, Marcia Sp...
ECTEL
2008
Springer
13 years 6 months ago
Evaluating Spatial Knowledge through Problem-Solving in Virtual Learning Environments
Modeling the cognitive processes of learners is fundamental to build educational software that are autonomous and that can provide highly tailored assistance during learning [3]. F...
Philippe Fournier-Viger, Roger Nkambou, Andr&eacut...