Ciências e Tecnologia | Capítulos/artigos em livros internacionais / Book chapters/papers in international books
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Browsing Ciências e Tecnologia | Capítulos/artigos em livros internacionais / Book chapters/papers in international books by Author "Behr, André"
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- Bringing underused learning objects to the light: a multi-agent based approachPublication . Behr, André; Cscalho, José; Mendes, Armando B.; Guerra, Hélia; Cavique, Luís; Trigo, Paulo; Coelho, Helder; Vicari, RosaThe digital learning transformation brings the extension of the traditional libraries to online repositories. Learning object repositories are employed to deliver several functionalities related to the learning object’s lifecycle. However, these educational resources usually are not described effectively, lacking, for example, educational metadata and learning goals. Then, metadata incompleteness limits the quality of the services, such as search and recommendation, resulting in educational objects that do not have a proper role in teaching/learning environments. This work proposes to bring an active role to all educational resources, acting on the analysis generated from the usage statistics. To achieve this goal, we created a multi-agent architecture that complements the common repository’s functionalities to improve learning and teaching experiences. We intend to use this architecture on a repository focused on ocean literacy learning objects. This paper presents some steps toward this goal by enhancing, when needed, the repository to adapt itself.
- Enhancing learning object repositories with ontologiesPublication . Behr, André; Mendes, Armando B.; Cascalho, José; Rossi, Luiz; Vicari, Rosa; Trigo, Paulo; Novo, Paulo; Cavique, Luís; Guerra, HéliaIn this paper, we present a review on the use of ontologies in learning object repositories systems for searching and suggestion purposes, considering its adoption for the seaThings project that aims to promote the ocean literacy. We also describe the use case of the Cognix system and Agent-based Learning Objects - OBAA metadata standard for learning objects which is being implemented on a new learning objects repository. This system includes concepts from arti cial intelligence such as agents and ontologies that aim to improve the search and so making the system more responsive. This paper also sugests how an ontology can be implemented, using metadata in learning object repositories to provide relevant aspects, such as interoperability, reuse, and searching.