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Attaining Learning Objectives by Ontological Reasoning using Digital Twins

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Attaining Learning Objectives by Ontological Reasoning using Digital Twins. / David, Joe; Lobov, Andrei; Lanz, Minna.

In: Procedia Manufacturing, Vol. 31, 55, 23.04.2019, p. 349-355.

Research output: Contribution to journalArticleScientificpeer-review

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David, Joe ; Lobov, Andrei ; Lanz, Minna. / Attaining Learning Objectives by Ontological Reasoning using Digital Twins. In: Procedia Manufacturing. 2019 ; Vol. 31. pp. 349-355.

Bibtex - Download

@article{5d9bfb349ddd4754853853739f415561,
title = "Attaining Learning Objectives by Ontological Reasoning using Digital Twins",
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.",
author = "Joe David and Andrei Lobov and Minna Lanz",
year = "2019",
month = "4",
day = "23",
doi = "10.1016/j.promfg.2019.03.055",
language = "English",
volume = "31",
pages = "349--355",
journal = "Procedia Manufacturing",
issn = "2351-9789",
publisher = "Elsevier",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Attaining Learning Objectives by Ontological Reasoning using Digital Twins

AU - David, Joe

AU - Lobov, Andrei

AU - Lanz, Minna

PY - 2019/4/23

Y1 - 2019/4/23

N2 - 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.

AB - 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.

U2 - 10.1016/j.promfg.2019.03.055

DO - 10.1016/j.promfg.2019.03.055

M3 - Article

VL - 31

SP - 349

EP - 355

JO - Procedia Manufacturing

JF - Procedia Manufacturing

SN - 2351-9789

M1 - 55

ER -