Artificial intelligence anxiety and technology-induced unemployment concerns of aviation management students
2023
0 görüntülenme
0 i̇ndirme
Danışman: Doç. Dr. Savaş Selahattin Ateş
Özet (EN)
Artificial intelligence technologies are constantly increasing the investment they attract due to the increase in usage and demand. Technologies used by almost every sector continue to become widespread in our daily lives. However, since the introduction of the concept of artificial intelligence, there have been periods when different views have been dominant about these technologies, which have been the center of attention. Especially the discussion of the future of artificial intelligence caused important countries investing in the field to attract their investments from time to time, and two Artificial Intelligence Winters were experienced. Although it has positive contributions such as increasing productivity, reducing costs and reducing the margin of error, it is seen that it causes loss of employment. There is no different situation in the aviation sector. Artificial intelligence technologies, which are used extensively in all areas of aviation, pose a threat to reduce the number of people working in some professions. Unemployment anxiety, especially among students, has increased with the developments in artificial intelligence. In the study, undergraduate students of Aviation Management department were examined and artificial intelligence concerns and technology-related unemployment concerns were investigated. The collected data were analyzed by Independent T Test.
Yazar
Dr. Mustafa Kaya
Bu Yayına Nasıl Atıf Yapılır
Mustafa Kaya (Master Thesis). Artificial intelligence anxiety and technology-induced unemployment concerns of aviation management students, 2023, Eskişehir Teknik Üniversitesi.
Anahtar Kelimeler
Lisans
Tüm Hakları Saklıdır
Bu eser belirtilen lisans koşulları altında paylaşılmaktadır.
Eskişehir Teknik Üniversitesi tezlerinden daha fazlası
- Effect of crystallographic orientation on ionic conductivity of Li(1+x)AlxTi(2-x)(PO4)3 solid electrolytes(2018)
- The investigation of mechanical and dynamic properties of two dimensional mxene crystals by first principles(2018)
- Aircraft sensor fault detection and system reconstruction based on artificial neural networks(2021)
- Fuzzy graphs(2022)
- Production of functionally graded SiC-TiB2-Al composites by spark plasma sintering technique and their characterization(2018)
- Analysis of child mortality with the help of geographic information systems(GIS)(2018)