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Multiagent Architecture for Errors Management in Content Organized in Learning Objects
PROCEEDINGS

, , Departamento de Sistemas, Universidad Autónoma Metropolitana-A, Mexico ; , Posgrado en Ciencia e Ingeniería de la Computación, Universidad Nacional Autónoma de México, Mexico ; , Departamento de Sistemas, Universidad Autónoma Metropolitana-A, Mexico

E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, in Honolulu, Hawaii, USA ISBN 978-1-880094-90-7 Publisher: Association for the Advancement of Computing in Education (AACE), San Diego, CA

Abstract

The following paper describes the teaching-learning strategies which are related to different types of errors. Each type of error is managed by a determined agent. Said agents represent microworlds of expertise in certain instructional objectives. The multiagent architecture of an Intelligent Learning System (ILS) includes reactive agents which represent the expertise of each of the necessary sub-skills in learning the structured programming. The ILS is based upon artificial intelligence techniques for implementing the teaching-learning process The case study includes situations which are related to errors in order to link them to learning styles, knowledge domain and affective-motivational state. These assessments must determine: aspects to be explained, level of detail and timing, as well as when to interrupt the student and which information shall be provided during the interaction.

Citation

Sánchez-Guerrero, L., Laureano-Cruces, A.L., Mora-Torres, M. & Ramirez-Rodriguez, J. (2011). Multiagent Architecture for Errors Management in Content Organized in Learning Objects. In C. Ho & M. Lin (Eds.), Proceedings of E-Learn 2011--World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (pp. 2462-2467). Honolulu, Hawaii, USA: Association for the Advancement of Computing in Education (AACE). Retrieved August 22, 2019 from .

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Cited By

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  • Consequences of a cognitive-affective intervention in an Intelligent Learning System (ILS)

    Lourdes Sánchez-Guerrero, Ana Lilia Laureano-Cruces & Javier Ramirez-Rodriguez, Departamento de Sistemas, Universidad Autónoma Metropolitana-A, Mexico; Martha Mora-Torres, Posgrado en Ciencia e Ingeniería de la Computación-UNAM, Mexico

    E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2012 (Oct 09, 2012) pp. 1280–1289

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