Attaining Learning Objectives by Ontological Reasoning using Digital Twins
Research output: Contribution to journal › Article › Scientific › peer-review
Details
| Original language | English |
|---|---|
| Article number | 55 |
| Pages (from-to) | 349-355 |
| Journal | Procedia Manufacturing |
| Volume | 31 |
| DOIs | |
| Publication status | Published - 23 Apr 2019 |
| Publication type | A1 Journal article-refereed |
| Event | Conference on Learning Factories - Braunschweig, Germany Duration: 26 Mar 2019 → 28 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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