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An approach to knowledge assessment in an Intelligent Tutoring System

Huapaya, Constanza Raquel et al · SEDICI UNLP · 2008

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In this paper, we present an approach to student's evaluation in a well-defined domain based on a semantic network. A similarity matrix based on the semantic memory structure of humans is used to build a semantic distance model in order to describe an assessment technique to evaluate the student's state of knowledge. Our aim is to facilitate a deeper conceptual understanding of domain principles. We are developing a new student model including an assessment module with DistSem model. Workshop de Tecnología Informática Aplicada en Educación (WTIAE) Red de Universidades con Carreras en Informática (RedUNCI)

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APA 7

Huapaya, C. R. E. A. (2008). An approach to knowledge assessment in an Intelligent Tutoring System. SEDICI UNLP. http://sedici.unlp.edu.ar/handle/10915/21998

MLA

Huapaya, Constanza Raquel et al. An approach to knowledge assessment in an Intelligent Tutoring System. SEDICI UNLP, 2008. http://sedici.unlp.edu.ar/handle/10915/21998.

Chicago

Huapaya, Constanza Raquel et al. 2008. An approach to knowledge assessment in an Intelligent Tutoring System. SEDICI UNLP. http://sedici.unlp.edu.ar/handle/10915/21998.

Harvard

Huapaya, C. R. E. A. 2008, An approach to knowledge assessment in an Intelligent Tutoring System, SEDICI UNLP, available at: http://sedici.unlp.edu.ar/handle/10915/21998 [Accessed 10 Aug. 2026].

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Title
An approach to knowledge assessment in an Intelligent Tutoring System
Author / contributors
Huapaya, Constanza Raquel et al
Publisher
SEDICI UNLP
Publication year
2008
Language
English

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