Active Learning on the Collaborative Digital Twin of the Process Plants

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

Contributors

  • Fabienne Fariba Salimi - , ADEPP Academy (Author)
  • Frederic Salimi - , ADEPP Academy (Author)
  • Hosein Taghipoor - , ADEPP Academy (Author)
  • Reyhane Mokhtarname - , Shiraz University (Author)
  • Ali Akbar Safavi - , Shiraz University (Author)
  • Leonhard Urbas - , Chair of Process Control Systems (Author)

Abstract

Digital twin is a valuable tool for the active training of engineers at both academic and professional levels. This is even more important if learners can experience any safe or unsafe scenarios on the safe environment of an accurate simulator combined with the systematic collaborative applications. This paper introduces a learning platform that is designed in compliance with ISO 10015 to be used following the individual initiatives or organizational competency management programs. The curriculum addresses the needs and expectations of Industry 4.0 engineers who should master not only the specialized subjects relevant to their discipline but also have a good grasp on system thinking, system engineering and complexity management skills. This active learning platform is called ADEPP Skill 4.0 and provides collaborative learning workspaces on a web-based operator training simulator (OTS) which interoperate with the SharePoint application.

Details

Original languageEnglish
Title of host publicationProceedings of the 2022 IEEE Global Engineering Education Conference, EDUCON 2022
EditorsMohammed Jemni, Ilhem Kallel, Abdeljalil Akkari
PublisherIEEE Computer Society
Pages878-883
Number of pages6
ISBN (electronic)9781665444347
Publication statusPublished - 2022
Peer-reviewedYes

Publication series

SeriesIEEE Global Engineering Education Conference, EDUCON
Volume2022-March
ISSN2165-9559

Conference

Title13th IEEE Global Engineering Education Conference, EDUCON 2022
Duration28 - 31 March 2022
CityTunis
CountryTunisia

External IDs

ORCID /0000-0001-5165-4459/work/172571722

Keywords

Research priority areas of TU Dresden

Subject groups, research areas, subject areas according to Destatis

Keywords

  • Active Learning, ADEPP, Digital Twin, ISO 1005, OTS, PSM, SharePoint, Skill 4.0