Towards an Ontology to Describe the Taxonomy of Common Modules in Learning Management Systems

Marín, Carlos Enrique Montenegro; Lovelle, Juan Manuel Cueva; Martínez, Óscar Sanjuán; Núñez‐Valdéz, Edward Rolando

doi:10.9781/ijimai.2011.148

Cited by 4 publications

(3 citation statements)

References 4 publications

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“…It is worth highlighting the work presented in Cerezo et al (2020), where they propose a process mining method for a self-regulated learning assessment, and make use of an ontology inspired by Bloom's taxonomy. In Montenegro-Marin et al (2011), they also propose an ontology based on the idea of taxonomy, but not restricted to interaction attributes, as they consider many other features, such as the curriculum design, productivity, management, and so on. However, they do not validate the utility of the ontology.…”

Section: Introductionmentioning

confidence: 99%

Improving the portability of predicting students’ performance models by using ontologies

2021

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One of the main current challenges in Educational Data Mining and Learning Analytics is the portability or transferability of predictive models obtained for a particular course so that they can be applied to other different courses. To handle this challenge, one of the foremost problems is the models’ excessive dependence on the low-level attributes used to train them, which reduces the models’ portability. To solve this issue, the use of high-level attributes with more semantic meaning, such as ontologies, may be very useful. Along this line, we propose the utilization of an ontology that uses a taxonomy of actions that summarises students’ interactions with the Moodle learning management system. We compare the results of this proposed approach against our previous results when we used low-level raw attributes obtained directly from Moodle logs. The results indicate that the use of the proposed ontology improves the portability of the models in terms of predictive accuracy. The main contribution of this paper is to show that the ontological models obtained in one source course can be applied to other different target courses with similar usage levels without losing prediction accuracy.

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Section: Introductionmentioning

confidence: 99%

Improving the portability of predicting students’ performance models by using ontologies

2021

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“…Ontologies are also used to describe LMSs and compare common modules in an LMS. In [6], Moodle, Sakai, DotLRN, Claroline and Atutor systems were compared and the structure of an LMS was defined. Another example is using ontologies for modeling several types of context, according to relations among resources, in this case for a learner-centered recommendation system.…”

Section: Related Workmentioning

confidence: 99%

A Survey on LMS Context Dimensions for Teacher-Oriented Recommender Systems

Bosnić

Orlić

Žagar

2013

Int. J. Emerg. Technol. Learn.

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Abstract-In formal education, a majority of e-learning courses is still conducted in a learning management system (LMS). Teachers and authors of educational resources can make use of context-aware recommender systems, which would recommend relevant learning objects to be included in the course. Context data can be obtained, among other sources, from an existing learning environment. This paper describes a two-phase survey of four LMSs -Chamilo, Claroline, Ilias and Moodle -and their characteristics suitable for creating an LMS part of a context model, which would be relevant to implement in recommender systems for this purpose. A sample set of use cases is given, which describes how teachers and content authors could use the system. Based on the survey results, a set of context model dimensions is proposed.

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“…En segundo lugar, se encuentra el Proceso de Acreditación, que es responsabilidad del Consejo Nacional de Acreditación (CNA), también adscrito al MEN. A diferencia del registro calificado, la acreditación es de carácter voluntario y busca alcanzar los más altos estándares de calidad (Montenegro Marín et al, 2011). Las IES que deciden someterse a este proceso demuestran su compromiso con la excelencia y la mejora continua en la prestación de sus servicios educativos (Acuña Salinas, 2020).…”

Section: Introductionunclassified

Evaluación de las Herramientas de Gestión en el Proceso de Acreditación en alta Calidad de Ingeniería Industrial en Educación Superior

Cardozo Miranda,

Muñoz Chipatecua

2024

Ciencia Latina

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El estudio se enfoca en evaluar el uso y frecuencia de las herramientas de gestión de calidad en los procesos de acreditación en alta calidad de 36 universidades miembros de la red de decanos y directores de ingeniería industrial (REDIN), en Colombia. Para lograr esto, se utilizó una metodología cuantitativa que incluyó la aplicación de una encuesta estructurada. En el resultado se evidencia el compromiso inquebrantable de estas instituciones con la obtención de la acreditación en alta calidad, es crucial reconocer la importancia de herramientas de gestión para enfrentar los desafíos y complejidades en la búsqueda de la excelencia académica y el cumplimiento de estándares regulatorios. Las universidades colombianas se esfuerzan en diseñar programas académicos innovadores, pero se enfrentan a obstáculos en la gestión de procesos. La obtención de la acreditación en alta calidad en programas de educaciòn superior requiere evaluaciones internas y externas exhaustivas, centradas en infraestructura, cuerpo docente capacitado, investigación avanzada, estudiantes, egresados y recursos tecnológicos. Aunque se promueve un ambiente propicio para el aprendizaje inclusivo, la falta de herramientas de gestión puede obstaculizar la optimización de procesos. Este artículo destaca la necesidad de indagar y comprender las herramientas de gestión de calidad empleadas por las universidades. Desde sistemas de seguimiento y evaluación de indicadores clave hasta plataformas tecnológicas para la automatización administrativa, estas herramientas no solo optimizan la obtención de la acreditación en calidad en programas, sino que también impulsan una cultura de mejora continua.

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Towards an Ontology to Describe the Taxonomy of Common Modules in Learning Management Systems

Cited by 4 publications

References 4 publications

Improving the portability of predicting students’ performance models by using ontologies

Improving the portability of predicting students’ performance models by using ontologies

A Survey on LMS Context Dimensions for Teacher-Oriented Recommender Systems

Evaluación de las Herramientas de Gestión en el Proceso de Acreditación en alta Calidad de Ingeniería Industrial en Educación Superior

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