A new competency ontology for learning environments personalization
Abstract Competency is a central concept for human resource management, training and education. We define a competency as the capacity of a person to display a generic skill with a certain level of performance when applied to one or more knowledge entities. Competencies, and competency referentials...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2021-08-01
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| Series: | Smart Learning Environments |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40561-021-00160-z |
| _version_ | 1818718182572032000 |
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| author | Gilbert Paquette Olga Marino Rim Bejaoui |
| author_facet | Gilbert Paquette Olga Marino Rim Bejaoui |
| author_sort | Gilbert Paquette |
| collection | DOAJ |
| description | Abstract Competency is a central concept for human resource management, training and education. We define a competency as the capacity of a person to display a generic skill with a certain level of performance when applied to one or more knowledge entities. Competencies, and competency referentials grouping competencies, are essential elements for user models, e-Portfolios, adaptive learning, and personalization in Technology-based learning. But to be processed both by humans and by software tools, competencies should be represented in a formal, non-ambiguous model called an ontology. Moreover, this model should use a shared vocabulary to describe the generic skills and the knowledge entities. Defining and linking shared vocabularies is the purpose of ontologies in the semantic web. The goal of our research is to develop a competency ontology for the semantic web to be used as a shared referential in the description of competencies and competency profiles. We analysed five previous competency models and developed COMP2, a new competency ontology that integrates important elements of previous models and the richness of the semantic web vocabulary. COMP2 provides processing capabilities both to humans and computers. Its graphic model is highly readable by humans for design, evaluation and communication purposes. It also translates, together with its data sets, to standard semantic Web code for machine processing. The ontology is composed of five stages that are interlinked with other ontologies in use within the web of linked open data. We will present an example for the use of the ontology for competency-based personalization in learning environments. |
| first_indexed | 2024-12-17T19:46:59Z |
| format | Article |
| id | doaj.art-5c48292a49b1429a84746b7d0247f221 |
| institution | Directory Open Access Journal |
| issn | 2196-7091 |
| language | English |
| last_indexed | 2024-12-17T19:46:59Z |
| publishDate | 2021-08-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Smart Learning Environments |
| spelling | doaj.art-5c48292a49b1429a84746b7d0247f2212022-12-21T21:34:50ZengSpringerOpenSmart Learning Environments2196-70912021-08-018112310.1186/s40561-021-00160-zA new competency ontology for learning environments personalizationGilbert Paquette0Olga Marino1Rim Bejaoui2Laboratory for Instructional and Cognitive Engineering (LICE), LICEF Research Center, Université TÉLUQTICSw Research Group, Systems and Computing Engineering Department, School of Engineering, Universidad de los AndesLaboratory for Instructional and Cognitive Engineering (LICE), LICEF Research Center, Université TÉLUQAbstract Competency is a central concept for human resource management, training and education. We define a competency as the capacity of a person to display a generic skill with a certain level of performance when applied to one or more knowledge entities. Competencies, and competency referentials grouping competencies, are essential elements for user models, e-Portfolios, adaptive learning, and personalization in Technology-based learning. But to be processed both by humans and by software tools, competencies should be represented in a formal, non-ambiguous model called an ontology. Moreover, this model should use a shared vocabulary to describe the generic skills and the knowledge entities. Defining and linking shared vocabularies is the purpose of ontologies in the semantic web. The goal of our research is to develop a competency ontology for the semantic web to be used as a shared referential in the description of competencies and competency profiles. We analysed five previous competency models and developed COMP2, a new competency ontology that integrates important elements of previous models and the richness of the semantic web vocabulary. COMP2 provides processing capabilities both to humans and computers. Its graphic model is highly readable by humans for design, evaluation and communication purposes. It also translates, together with its data sets, to standard semantic Web code for machine processing. The ontology is composed of five stages that are interlinked with other ontologies in use within the web of linked open data. We will present an example for the use of the ontology for competency-based personalization in learning environments.https://doi.org/10.1186/s40561-021-00160-zCompetenciesCompetency modelsCompetency ontologiesTechnology-based learningPersonalizationWeb of linked open data |
| spellingShingle | Gilbert Paquette Olga Marino Rim Bejaoui A new competency ontology for learning environments personalization Smart Learning Environments Competencies Competency models Competency ontologies Technology-based learning Personalization Web of linked open data |
| title | A new competency ontology for learning environments personalization |
| title_full | A new competency ontology for learning environments personalization |
| title_fullStr | A new competency ontology for learning environments personalization |
| title_full_unstemmed | A new competency ontology for learning environments personalization |
| title_short | A new competency ontology for learning environments personalization |
| title_sort | new competency ontology for learning environments personalization |
| topic | Competencies Competency models Competency ontologies Technology-based learning Personalization Web of linked open data |
| url | https://doi.org/10.1186/s40561-021-00160-z |
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