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

Dianati, Seb; Taptamat, Nantana; Uchiyama, Akiko; Akagawa, Natsuko

doi:10.48185/jtls.v3i1.439

Cited by 2 publications

(1 citation statement)

References 8 publications

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“…The researcher linked these findings to students' technical competence and encouraged CAT tool designers to consider varying levels of IT skills among translators and to design tools that are user-friendly and accessible to all users, regardless of their IT proficiency. Dianati et al (2022) used TAM to examine the factors contributing to the adoption of T&I technologies by 21 university instructors in Australia. Despite the small sample size, researchers found that the frequency of technology use among instructors has a significant impact on their intention to use such technologies in the future.…”

Section: Introductionmentioning

confidence: 99%

Factors Affecting Acceptance of Cloud-Based Computer-Assisted Translation Tools Among Translation Students

Alotaibi

2024

tpls

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Translation technology is a fundamental aspect of the translation profession. Cloud-based computer-assisted translation (CAT) tools are becoming popular among translators because of their simplicity and usability. However, studies on the factors affecting the use of cloud-based CAT tools by translators and translation students are scarce. Therefore, this study explores the factors that influence the acceptance and use of such tools among translation students using the technology acceptance model (TAM). The hypothesized model is empirically validated using a survey of 181 participants. Using structural equation modeling, data analysis suggests that translation students' intention to use cloud-based CAT tools and their perceived usefulness are key adoption factors, while actual use is less significant. The simplicity of cloud-based CAT tools is also an important consideration, particularly for translation students with limited information technology experience. The implications for tool developers and translation instructors are discussed considering these findings.

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Section: Introductionmentioning

confidence: 99%

Factors Affecting Acceptance of Cloud-Based Computer-Assisted Translation Tools Among Translation Students

Alotaibi

2024

tpls

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Understanding instructors’ tablet adoption for note-taking in interpreting: insights from the GETAMEL model

Tian,

Wang

2024

Front. Educ.

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With the rise in popularity of tablets, professional interpreters were among the early adopters who integrated them into their workflow. Tablets have also become an indispensable tool for students, including those studying interpreting, who utilize them in the classroom for various purposes, such as note-taking. However, despite this growing trend, the traditional practice of pen-and-paper note-taking remains prevalent. Additionally, current interpreting textbooks primarily focus on teaching pen-and-paper note-taking skills. As interpreting instructors, it is crucial for us to familiarize ourselves with the use of tablets for note-taking in consecutive interpreting (CI). This will enable us to adapt our teaching methods accordingly and cater to the needs of the “iPad Kids” generation. The purpose of this study is to use quantitative method to examine the factors that contribute to the adoption of tablets for note-taking by instructors in the classroom environment. A questionnaire was developed based on the General Extended Technology Acceptance Model for E-learning (GETAMEL) framework. The questionnaire was distributed to teachers at prominent foreign language universities, foreign language faculties in select comprehensive universities and translation training institutions across Chinese Mainland and Macao Special Administrative Region of China. To provide comprehensive insights into the variables under study, descriptive statistics were generated using both SPSS 25.0 and Excel. These tools facilitated the production of detailed data summaries, offering valuable insights into the research variables. The obtained results provide insights into various aspects, including instructors’ knowledge levels and usage of tablet interpreting in university classrooms, their attitudes toward integrating tablet interpreting into teaching, and the key factors that influence their decisions to adopt tablet interpreting in their classroom practices. The findings suggest the existence of additional external factors that could be incorporated into the existing model. The paper concludes with recommendations on how to promote the integration of technology into teaching practices for interpreting instructors.

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

Cited by 2 publications

References 8 publications

Factors Affecting Acceptance of Cloud-Based Computer-Assisted Translation Tools Among Translation Students

Factors Affecting Acceptance of Cloud-Based Computer-Assisted Translation Tools Among Translation Students

Understanding instructors’ tablet adoption for note-taking in interpreting: insights from the GETAMEL model

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