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Reducing the Knowledge Tracing Space - ERIC
https://files.eric.ed.gov/fulltext/ED539096.pdf
Reducing the Knowledge Tracing Space Steven Ritter1, Thomas K. Harris2, Tristan Nixon1, Daniel Dickison1, R. Charles Murray1and Brendon Towle1 1Carnegie Learning 2EDalytics, LLC Abstract. In Cognitive Tutors, student skill is represented by estimates of student knowledge on various knowledge components.
[PDF] Reducing the Knowledge Tracing Space | Semantic …
https://www.semanticscholar.org/paper/Reducing-the-Knowledge-Tracing-Space-Ritter-Harris/dfdfeaf0f3bb8832e419cf784395a75646d29081
It is concluded that one can drastically reduce the parameter space used to model students without compromising the behavior of the system. In Cognitive Tutors, student skill is represented by estimates of student knowledge on various knowledge components. The estimate for each knowledge component is based on a four-parameter model developed by Corbett and …
(PDF) Reducing the Knowledge Tracing Space.
https://www.researchgate.net/publication/221570552_Reducing_the_Knowledge_Tracing_Space
We conclude that we can drastically reduce the parameter space used to model students without compromising the behavior of the system. Reduction of …
Reducing the Knowledge Tracing Space - Steven Ritter, …
https://books.google.com/books/about/Reducing_the_Knowledge_Tracing_Space.html?id=tU0FvwEACAAJ
In Cognitive Tutors, student skill is represented by estimates of student knowledge on various knowledge components. The estimate for each knowledge component is based on a four-parameter model developed by Corbett and Anderson [Nb]. In this paper, we investigate the nature of the parameter space defined by these four parameters by modeling data from over 8000 …
ERIC - ED539096 - Reducing the Knowledge Tracing …
https://eric.ed.gov/?q=ritter&pg=11&id=ED539096
In Cognitive Tutors, student skill is represented by estimates of student knowledge on various knowledge components. The estimate for each knowledge component is based on a four-parameter model developed by Corbett and Anderson [Nb]. In this paper, we investigate the nature of the parameter space defined by these four parameters by modeling data from over 8000 …
Reducing the Knowledge Tracing Space - researchr publication
https://researchr.org/publication/RitterHNDMT09
Reducing the Knowledge Tracing Space. In Tiffany Barnes, Michel C. Desmarais, Cristóbal Romero, Sebastián Ventura, editors, Educational Data Mining - EDM 2009, Cordoba, Spain, July 1-3, 2009. Proceedings of the 2nd International Conference on Educational Data Mining. pages 151-160, www.educationaldatamining.org, 2009.
Knowledge Tracing: A Survey - researchgate.net
https://www.researchgate.net/publication/357953557_Knowledge_Tracing_A_Survey/fulltext/61e8f8578d338833e37fa5dc/Knowledge-Tracing-A-Survey.pdf
Knowledge Tracing (DKT) which applies Recurrent Neural Networks (RNNs) [63] to capture temporal dynamics in a sequence of interactions between questions and answers by a …
(PDF) Clustered Knowledge Tracing | Zachary Pardos
https://www.academia.edu/69838810/Clustered_Knowledge_Tracing
Clustered Knowledge Tracing. Lecture Notes in Computer Science, 2012. Zachary Pardos. Download PDF. Download Full PDF Package. This paper. A short summary of this paper. 37 Full PDFs related to this paper. READ PAPER. Clustered Knowledge Tracing. Download. Clustered Knowledge Tracing.
(PDF) Clustered Knowledge Tracing | Zachary Pardos
https://www.academia.edu/69838913/Clustered_Knowledge_Tracing
By learning a more distributed representation of the input space, clustering can be a powerful source of information for boosting the performance of predictive models. While such semi-supervised methods based on clustering have been applied ... Clustered Knowledge Tracing. 2012. Zachary Pardos. Download Download PDF. Full PDF Package Download ...
Ability boosted knowledge tracing - ScienceDirect
https://www.sciencedirect.com/science/article/pii/S0020025522001876
In this paper, the ability boosted knowledge tracing (ABKT) model is proposed. ABKT constructs a new KT framework, namely, knowledge and ability dual-tracing framework, based on the traditional knowledge-centered model, by introducing the ability factor as a supplement to learning feedback attribution.
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