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Towards a holistic model for quality of learning object repositories: A practical application to the indicator of metadata compliance

Christian Vidal-Castro (Sistemas de Información, Universidad del Bío-Bío, Concepción, Chile)
Alejandra Andrea Segura Navarrete (Sistemas de Información, Universidad del Bío-Bío, Concepción, Chile)
Victor Menendez-Dominguez (Facultad de Matemáticas, Universidad Autónoma de Yucatán, Mérida, México)
Claudia Martinez-Araneda (Departamento de Ingeniería Informática, Universidad Católica de la Santísima Concepción, Concepción, Chile)

The Electronic Library

ISSN: 0264-0473

Article publication date: 2 October 2017

871

Abstract

Purpose

This paper aims to address the need to ensure the quality of metadata records describing learning resources. We propose improvements to a metadata-quality model, specifically for the compliance sub-feature of the functionality feature. Compliance is defined as adherence level of the learning object metadata content to the metadata standard used for its specification. The paper proposes metrics to assess the compliance, which are applied to a set of learning objects, showing their applicability and usefulness in activities related to resources management.

Design/methodology/approach

The methodology considers a first stage of metrics refinement to obtain the indicator of the sub-feature compliance. The next stage is the proposal evaluation, where it is determined if metrics can be used as a conformity indicator of learning object metadata with a standard (metadata compliance). The usefulness of this indicator in the information retrieval area is approached through an assessment of learning objects where the quality level of its metadata and the ranking in which they are retrieved by a repository are correlated.

Findings

This study confirmed that the best results for metrics of standardization, completeness, congruence, coherence, correctness and understandability, which determine the compliance indicator, were obtained for learning objects whose metadata were better labelled. Moreover, it was found that the learning objects with the highest level of compliance indicator have better positions in the ranking when a repository retrieves them through an exact search based on metadata.

Research limitations/implications

In this study, only a sub-feature of the quality model is detailed, specifically the compliance of learning object standard. Another limitation was the size of the learning objects set used in the experiment.

Practical implications

This proposal is independent from any metadata standard and can be applied to improve processes associated with the management of learning objects in a repository-like retrieval and recommendation.

Originality/value

The originality and value of this proposal are related to quality of learning object metadata considered from a holistic point of view through six metrics. These metrics quantify both technical and pedagogical aspects through automatic evaluation and supported by experts. In addition, the applicability of the indicator in recovery systems is shown, by example to be incorporated as an additional criterion in the learning object ranking.

Keywords

Acknowledgements

This paper is the result of work by the SOMOS research group (SOftware – MOdelling – Science), funded by the Dirección de Investigación and Facultad de Ciencias Empresariales of the Universidad del Bío-Bío, Chile. The authors thank the Facultad de Ingeniería de la Universidad Católica de la Santísima Concepción, Chile.

Citation

Vidal-Castro, C., Segura Navarrete, A.A., Menendez-Dominguez, V. and Martinez-Araneda, C. (2017), "Towards a holistic model for quality of learning object repositories: A practical application to the indicator of metadata compliance", The Electronic Library, Vol. 35 No. 5, pp. 953-976. https://doi.org/10.1108/EL-10-2015-0202

Publisher

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Emerald Publishing Limited

Copyright © 2017, Emerald Publishing Limited

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