Lernen mit Assistenzsystemen - Vor lauter Aufgaben den Prozess nicht sehen?

Vladova, Gergana; Wotschack, Philip; Lareiro, Patricia de Paiva; Gronau, Norbert; Thim, Christof

doi:10.30844/i40m_20-3_s16-20

Cited by 6 publications

(3 citation statements)

References 4 publications

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“…In an experimental study in 2019, we investigated employees' learning processes in a simulated production process environment [12]. The focus lies on how the information provided by an assistance system influences individual work performance (including problem-solving) compared with a situation where the learning via the assistance system is combined with a general introduction into the functioning of the work process at the beginning of the learning process.…”

Section: Problem-solving In Smart Industrial Manufacturing -An Experi...mentioning

confidence: 99%

Development of problem-solving skills in a manufacturing context – a learning factory concept

et al. 2022

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Section: Problem-solving In Smart Industrial Manufacturing -An Experi...mentioning

confidence: 99%

Development of problem-solving skills in a manufacturing context – a learning factory concept

et al. 2022

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“…Further, participants use other technical services like scanners and robots, dependent on which part of the manufacturing process they are working on. The focus lies on the use of digital assistant systems in the training phase for a new production process (Vladova, Wotschack, de Paiva Lareiro, Gronau, & Thim, 2020). The necessary tasks of the workers were depicted in the AS (in the form of a tablet), which was specially developed for the experiment, and enriched with learning instructions.…”

Section: Scenario Descriptionmentioning

confidence: 99%

Assistance systems in learning factories - A systematizing overview and case studies

Thim¹,

Vladova²,

Lass³

2021

Competence Development and Learning Assistance Systems for the Data-Driven Future

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Assistance systems are in use in different domains from their application in everyday life like driving cars and guiding the operation of information systems to industrial usage, e.g., in operating machinery, maintaining facilities, and monitoring production processes. The primary purpose of assistance systems is to extend the capabilities of human operators in different aspects to achieve an individual or organizational goal faster, with fewer errors, or more secure. In the context of learning, they provide new means to engage people in realistic learning scenarios. This paper discusses assistance systems that support learning in production processes. The goal of the paper is to structure the possibilities of assistance systems use regarding different learning goals. It presents a taxonomy of assistance system use and demonstrates this taxonomy in three cases.

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“…AS serve the application-oriented, near-real-time provision of information to support employees in decision-making or to guide them in manual tasks. Cognitive AS are encountered by employees in the form of various artefacts -mobile devices, stationary displays on which the ASs are presented as more or less interactive visualization systems, wearables such as data glasses (Vladova at al. 2020).…”

Section: Introductionmentioning

confidence: 99%

AI-supported assistance systems in enterprise learning processes - prospects and limitations

Gronau¹,

Vladova²

2021

Competence Development and Learning Assistance Systems for the Data-Driven Future

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Industry 4.0 and Smart Factory are associated with major changes in the industrial world. The innovative forms of networking, communication and collaboration between people, machines and products have led to a new type of production system in which information and knowledge are exchanged more quickly and efficiently. As a result, among other things, the role of cognitive assistance systems and their supporting function for employees within production processes has gained in importance, both in the training phase and in the active work phase. Especially for on-the-job learning, these assistance systems open up a wide range of opportunities. This paper focuses on the opportunities and challenges associated with the use of cognitive assistance systems for workplace learning. We discuss current research on the potential uses of these assistance systems, particularly for process accomplishment as well as for supporting specific groups of employees. Furthermore, we address the limitations for the use of these systems. At the end of the paper, we identify three focus areas for the future development of AI in industrial processes and for research on this.

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Lernen mit Assistenzsystemen - Vor lauter Aufgaben den Prozess nicht sehen?

Cited by 6 publications

References 4 publications

Development of problem-solving skills in a manufacturing context – a learning factory concept

Development of problem-solving skills in a manufacturing context – a learning factory concept

Assistance systems in learning factories - A systematizing overview and case studies

AI-supported assistance systems in enterprise learning processes - prospects and limitations

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