A process using ontology to automate the operationalization of pattern-based learning scenarios

Abstract : For most teachers-designers, operationalizing learning scenarios based on patterns just replicates traditional ways by adding course content and multimedia elements on learning management systems (LMS). We aim to go beyond this method by trying to engage the teachers-designers to design deployable learning scenarios. Using patterns for their design is proven to be an adequate solution to seek balance between the need of expressive instructional scenarios, and the technical constraints that occur while deploying these scenarios on learning management systems. Pattern’s formal description is needed in order to translate the concepts of a pedagogical scenario, according to those embedded in the LMS. In this paper, we propose a process to structure, index, formalize, and finally adapt and operationalize the pattern-based learning scenarios. The presented process shows how the use of an ontology modeling learning scenario’s concepts helps the automation of deploying the learning scenarios on an LMS. For that, this ontology has been extended with one representing a learning platform paradigm.
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Chapitre d'ouvrage
Susan Zvacek, Maria Teresa Restivo, James Uhomoibhi, Markus Helfert. Computer Supported Education. 7th International Conference, CSEDU 2015, Lisbon, Portugal, May 23-25, 2015, Revised Selected Papers, 583, Springer-Verlag, pp.444-461, 2016, Communications in Computer and Information Science 978-3-319-29584-8. 〈10.1007/978-3-319-29585-5_26〉
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Dernière modification le : mardi 28 août 2018 - 13:57:36
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Zeyneb Tadjine, Lahcen Oubahssi, Claudine Piau-Toffolon, Sébastien Iksal. A process using ontology to automate the operationalization of pattern-based learning scenarios. Susan Zvacek, Maria Teresa Restivo, James Uhomoibhi, Markus Helfert. Computer Supported Education. 7th International Conference, CSEDU 2015, Lisbon, Portugal, May 23-25, 2015, Revised Selected Papers, 583, Springer-Verlag, pp.444-461, 2016, Communications in Computer and Information Science 978-3-319-29584-8. 〈10.1007/978-3-319-29585-5_26〉. 〈hal-01433153〉

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