Learning via assistance systems in industrial manufacturing. An experimental study in an Industry 4.0 environment

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dc.contributor.authorWotschack, Philip
dc.contributor.authorVladova, Gergana
dc.contributor.authorDe Paiva Lareiro, Patricia
dc.contributor.authorThim, Christof
dc.date.accessioned2024-05-02T15:00:14Z
dc.date.available2024-05-02T15:00:14Z
dc.date.issued2023
dc.description.abstractPurpose: The purpose of this paper is to investigate how learning solely via an assistance system influences work performance compared with learning with a combination of an assistance system and additional training. While the training literature has widely emphasised the positive role of on-the-job training, particularly for groups that are often underrepresented in formalised learning situations, organisational studies have stressed the risks that emerge when holistic process knowledge is lacking and how this negatively affects work performance. This study aims at testing these negative effects within an experimental design.
dc.identifier.citationWotschack, P., Vladova, G., De Paiva Lareiro, P., & Thim, C. (2023). Learning via assistance systems in industrial manufacturing. An experimental study in an Industry 4.0 environment. Journal of Workplace Learning, 35(9), 235–258. https://doi.org/10.1108/JWL-09-2022-0119
dc.identifier.doihttps://doi.org/10.1108/jwl-09-2022-0119
dc.identifier.issn1366-5626
dc.identifier.issn1366-5626
dc.identifier.urihttps://www.weizenbaum-library.de/handle/id/610
dc.language.isoeng
dc.rightsopen access
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectInformation technology
dc.subjectTraining
dc.subjectKnowledge
dc.subjectWorkplace learning
dc.subjectNew technology
dc.titleLearning via assistance systems in industrial manufacturing. An experimental study in an Industry 4.0 environment
dc.typeArticle
dc.type.statuspublishedVersion
dcmi.typeText
dcterms.bibliographicCitation.urlhttps://doi.org/10.1108/jwl-09-2022-0119
local.researchgroupBildung für die digitale Welt
local.researchgroupArbeiten mit Künstlicher Intelligenz
local.researchtopicOrganisation von Wissen
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