Abstract:

The purpose of this research is to determine the opinions of academicians about the proficiency levels of industry 4.0 concepts in education. The opinions of the academicians were examined with the many-facet Rasch measurement model. The study group of the research consists of raters consisting of 13 academicians working in different regions of Turkey. According to the Rasch measurement model, the first of the three dimensions of the research consists of academicians as 13 raters (jury), the other dimension consists of nine concepts related to industry 4.0, and the third dimension consists of nine items (criteria) determined for these concepts. In the research, the concepts frequently used in industry 4.0 terminology: the internet of things, augmented reality, artificial intelligence, cyber security, cloud computing technology, wearable technologies, virtual reality, simulation technologies, big data and data analytics were examined in line with the opinions of academicians. As a result of the analysis, it was determined that the concepts of artificial intelligence, big data and data analytics, which are among the concepts related to industry 4.0, have the highest quality. On the other hand, in the research, it was concluded that the concepts of wearable technologies and cyber security had the lowest qualifications. On the other hand, in the research, it has been concluded that the concepts of wearable technologies and cyber security are the concepts with the lowest quality. In addition, it was concluded that the participants might have difficulties in organizing the teaching environments and preparing materials for Industry 4.0 related concepts examined in the research. On the other hand, the participants stated that they could continue their lifelong learning and personal development by using these concepts. As a result of the analysis, it was also determined that the juries differed from each other in terms of their severity and leniency. It has been concluded that the many facet Rasch measurement model can be used effectively in the evaluation of the concepts related to Industry 4.0 and provides quite useful results.

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