Abstract
Learning objects are tools which can help to facilitate a person’s learning. However, they are often found in repositories, which commonly have no mechanism to evaluate the accessibility of learning objects. This is a problem, because should a person with a specific condition enter to observe one of these learning objects, it is not guaranteed that said person is able to access the knowledge and contents contained in the object that they have chosen. For this reason, in this article, a solution is proposed: automatic evaluation of the accessibility of learning objects, via a multi-agent system, which will assess the accessibility of learning objects, and make recommendations, in order to improve the object’s accessibility.
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Acknowledgments
The research presented in this paper was partially funded by the project entitled: “Modelo Orientado a la Accesibilidad y Adaptatividad en Repositorios y Federaciones de Recursos Educativos Digitales” of the Universidad Nacional de Colombia, with code 35806.
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Londoño, L., Tabares, V., Duque, N., Giraldo, M. (2017). Accessibility Evaluation of Learning Object Using Agents. In: Bajo, J., et al. Highlights of Practical Applications of Cyber-Physical Multi-Agent Systems. PAAMS 2017. Communications in Computer and Information Science, vol 722. Springer, Cham. https://doi.org/10.1007/978-3-319-60285-1_36
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DOI: https://doi.org/10.1007/978-3-319-60285-1_36
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