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2010
Bayesian networks are a formalism for reasoning under uncertainty that has been widely adopted in Artificial Intelligence (AI). Student modeling, i.e., the process of having an ITS build a model of relevant student’s traits/states during interaction, is a task permeated with uncertainty, which naturally calls for probabilistic approaches.
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Bayesian networks are a formalism for reasoning under uncertainty that has been widely adopted in Artificial Intelligence (AI). Student modeling, i.e., the process of having an ITS build a model of relevant student’s traits/states during interaction, is a task permeated with uncertainty, which naturally calls for probabilistic approaches.
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Meta-Reasoning and Student Modelling
1992The student modelling process in Intelligent Educational Systems is the process of inferring a model of the student’s knowledge by analysing his or her behaviour. When the student’s behaviour is the result of a reasoning activity, the task of building a student model involves the system’s reasoning about another agent’s knowledge and reasoning (meta ...
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Model Students, Model Citizens: Narratives of Japanese American Students, 1930s–1940s
Sociology of Race and EthnicityThe origin of the model minority myth of Asian Americans is frequently traced to World War II and the war hero narrative of the all-Japanese 442nd Infantry Regiment. The dominance of this narrative privileges the experiences of Japanese American men over women while also obscuring the role of educational institutions in the development of the model ...
Jaclyn A. Tabor +2 more
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From medical student to Editor: A note of thanks
Ca-A Cancer Journal for Clinicians, 2023Ted Gansler
exaly
A New Student Modeling Technique With Convolutional Neural Networks: LearnerPrints
Journal of Educational Computing Research, 2021Şeyhmus Aydoğdu
exaly