Zobrazit v EDS

A Methodological Framework for Designing Personalised Training Programs to Support Personnel Upskilling in Industry 5.0.

Uloženo v:
Podrobná bibliografie
Název: A Methodological Framework for Designing Personalised Training Programs to Support Personnel Upskilling in Industry 5.0.
Autoři: Fraile, Francisco, Psarommatis, Foivos, Alarcón, Faustino, Joan, Jordi
Zdroj: Computers (2073-431X); Nov2023, Vol. 12 Issue 11, p224, 26p
Témata: LANGUAGE models, SOCIAL sustainability
Abstrakt: Industry 5.0 emphasises social sustainability and highlights the critical need for personnel upskilling and reskilling to achieve the seamless integration of human expertise and advanced technology. This paper presents a methodological framework for designing personalised training programs that support personnel upskilling, with the goal of fostering flexibility and resilience amid rapid changes in the industrial landscape. The proposed framework encompasses seven stages: (1) Integration with Existing Systems, (2) Data Collection, (3) Data Preparation, (4) Skills-Models Extraction, (5) Assessment of Skills and Qualifications, (6) Recommendations for Training Program, (7) Evaluation and Continuous Improvement. By leveraging Large Language Models (LLMs) and human-centric principles, our methodology enables the creation of tailored training programs to help organisations promote a culture of proactive learning. This work thus contributes to the sustainable development of the human workforce, facilitating access to high-quality training and fostering personnel well-being and satisfaction. Through a food-processing use case, this paper demonstrates how this methodology can help organisations identify skill gaps and upskilling opportunities and use these insights to drive personnel upskilling in Industry 5.0. [ABSTRACT FROM AUTHOR]
Copyright of Computers (2073-431X) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Databáze: Complementary Index
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://resolver.ebscohost.com/openurl?sid=EBSCO:edb&genre=article&issn=2073431X&ISBN=&volume=12&issue=11&date=20231101&spage=224&pages=224-249&title=Computers (2073-431X)&atitle=A%20Methodological%20Framework%20for%20Designing%20Personalised%20Training%20Programs%20to%20Support%20Personnel%20Upskilling%20in%20Industry%205.0.&aulast=Fraile%2C%20Francisco&id=DOI:10.3390/computers12110224
    Name: Full Text Finder
    Category: fullText
    Text: Full Text Finder
    Icon: https://imageserver.ebscohost.com/branding/images/FTF.gif
    MouseOverText: Full Text Finder
  – Url: https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=EBSCO&SrcAuth=EBSCO&DestApp=WOS&ServiceName=TransferToWoS&DestLinkType=GeneralSearchSummary&Func=Links&author=Fraile%20F
    Name: ISI
    Category: fullText
    Text: Nájsť tento článok vo Web of Science
    Icon: https://imagesrvr.epnet.com/ls/20docs.gif
    MouseOverText: Nájsť tento článok vo Web of Science
Header DbId: edb
DbLabel: Complementary Index
An: 173830308
RelevancyScore: 965
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 965.43701171875
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: A Methodological Framework for Designing Personalised Training Programs to Support Personnel Upskilling in Industry 5.0.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Fraile%2C+Francisco%22">Fraile, Francisco</searchLink><br /><searchLink fieldCode="AR" term="%22Psarommatis%2C+Foivos%22">Psarommatis, Foivos</searchLink><br /><searchLink fieldCode="AR" term="%22Alarcón%2C+Faustino%22">Alarcón, Faustino</searchLink><br /><searchLink fieldCode="AR" term="%22Joan%2C+Jordi%22">Joan, Jordi</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: Computers (2073-431X); Nov2023, Vol. 12 Issue 11, p224, 26p
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22LANGUAGE+models%22">LANGUAGE models</searchLink><br /><searchLink fieldCode="DE" term="%22SOCIAL+sustainability%22">SOCIAL sustainability</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Industry 5.0 emphasises social sustainability and highlights the critical need for personnel upskilling and reskilling to achieve the seamless integration of human expertise and advanced technology. This paper presents a methodological framework for designing personalised training programs that support personnel upskilling, with the goal of fostering flexibility and resilience amid rapid changes in the industrial landscape. The proposed framework encompasses seven stages: (1) Integration with Existing Systems, (2) Data Collection, (3) Data Preparation, (4) Skills-Models Extraction, (5) Assessment of Skills and Qualifications, (6) Recommendations for Training Program, (7) Evaluation and Continuous Improvement. By leveraging Large Language Models (LLMs) and human-centric principles, our methodology enables the creation of tailored training programs to help organisations promote a culture of proactive learning. This work thus contributes to the sustainable development of the human workforce, facilitating access to high-quality training and fostering personnel well-being and satisfaction. Through a food-processing use case, this paper demonstrates how this methodology can help organisations identify skill gaps and upskilling opportunities and use these insights to drive personnel upskilling in Industry 5.0. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Computers (2073-431X) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://erproxy.cvtisr.sk/sfx/access?url=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=173830308
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/computers12110224
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 26
        StartPage: 224
    Subjects:
      – SubjectFull: LANGUAGE models
        Type: general
      – SubjectFull: SOCIAL sustainability
        Type: general
    Titles:
      – TitleFull: A Methodological Framework for Designing Personalised Training Programs to Support Personnel Upskilling in Industry 5.0.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Fraile, Francisco
      – PersonEntity:
          Name:
            NameFull: Psarommatis, Foivos
      – PersonEntity:
          Name:
            NameFull: Alarcón, Faustino
      – PersonEntity:
          Name:
            NameFull: Joan, Jordi
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 11
              Text: Nov2023
              Type: published
              Y: 2023
          Identifiers:
            – Type: issn-print
              Value: 2073431X
          Numbering:
            – Type: volume
              Value: 12
            – Type: issue
              Value: 11
          Titles:
            – TitleFull: Computers (2073-431X)
              Type: main
ResultId 1