Am I Done Learning? - Determining Learning States in Adaptive Assembly Systems

Sehr, Philip; Moriz, Natalia; Heinz-Jakobs, Mario; Trsek, Henning

doi:10.1109/etfa52439.2022.9921676

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Learning outcome evaluation in manual assembly

Maier,

Schoenfelder,

Zaeh

2024

Prod. Eng. Res. Devel.

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Mass customization and shorter product life cycles are causing ever more variants in production, especially in manual assembly. At the same time, more diverse personnel structures are emerging due to demographic change and labor shortages. This is causing different challenges to production managers, e.g., competence gaps. To meet these challenges, learning in manual assembly becomes increasingly important. The design of the learning process can only be improved by checking whether the processes fulfill their purpose. Various learning evaluation measures are described in general vocational education and competence development, but it is hard to select the right one for the learning process. This paper shows a procedure, how learning evaluation measures can be selected, and how they can measure learning progress. For this, a test person study was conducted to compare different learning evaluation measures and show their usability and advantages in manual assembly. The results support making learning in assembly easier to apply and controllable. In the long term, feeding back the results improves the learning process design.

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