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Attaining Learning Objectives by Ontological Reasoning using Digital Twins

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Details

Original languageEnglish
Article number55
Pages (from-to)349-355
JournalProcedia Manufacturing
Volume31
DOIs
Publication statusPublished - 23 Apr 2019
Publication typeA1 Journal article-refereed
EventConference on Learning Factories - Braunschweig, Germany
Duration: 26 Mar 201928 Mar 2019

Abstract

Learning Factories provide a propitious learning environment for nurturing production related competencies. However, several problems continue to plague their widespread adoption. This study mentions these issues before proposing the use of digital twins as an alternative. The study presents an approach towards modelling such a digital twin and proposes a solution that uses ontologies to develop a formal representation of the domain (a flexible manufacturing system) and the learning that occurs in the environment. A reasoning mechanism is used deduce inferences from the ontology to facilitate automated assessment of the learner. A use-case for the pedagogic digital twin is presented and discussed before proposing future directions for work.

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Field of science, Statistics Finland

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