Factors that influence Translation and Interpreting technology adoption by university instructors, through the lens of the Technology Acceptance Model (TAM)

Autor: Seb Dianati, Nantana Taptamat, Akiko Uchiyama, Natsuko Akagawa
Rok vydání: 2022
Zdroj: Journal of Translation and Language Studies. 3:12-28
ISSN: 2709-5681
Popis: The purpose of this study was to use mixed methods to examine the factors that contribute to the adoption of translation and interpreting (T&I) technologies by university instructors. The qualitative outcomes aimed to ascertain which technologies are currently being used in Australian universities, in the categories of web-search, CAT, mobile and tablet, and language lab software and hardware. An infographic was used to help display the technologies in these four domains. The findings of the quantitative analysis indicate that the frequent use of T&I technologies in instructors’ current practice significantly affected their intention to use technologies in the future. However, their experiences in both teaching and using such technologies were not factors that influenced their future use. The instructors who viewed T&I technologies favourably tended to recommend these tools to their friends and family; they believed that these tools helped them improve the accuracy of their job performance and secure their current job, and generally gave them an advantage in the employment market. At the same time, the instructors in our study faced some issues in using T&I technologies, such as the accuracy of their output and the lifespan of the software. Regardless of the challenges they faced, if an instructor perceived T&I technologies to be useful, they tended to express an intention to continue to use such technologies in the future.
Databáze: OpenAIRE