The Dilemmas and Reform of Translation Education in the Age of Artificial Intelligence

Ma, Yan

doi:10.1109/icaie53562.2021.00015

Cited by 5 publications

(3 citation statements)

References 1 publication

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“…Considering the development of new technologies (Massey & Ehrensberger-Dow, 2019) emphasize the importance of human translators keeping their skills up to date in order to keep pace with breakthroughs in artificial Arab World English Journal for Translation & Literary Studies ISSN: 2550-1542 | www.awej-tls.org 97 intelligence, such as deep learning and neural machine translation. The incorporation of artificial intelligence (AI) into translator education, as examined by (Yang, 2022) and (Yu, 2021), offers a challenging yet encouraging opportunity to improve translator skills in a world that is becoming more automated.…”

Section: Literature Reviewmentioning

confidence: 99%

Examining the Future of Translator Education: An In-depth Review of Educational Approaches in the Arab Context

EL-Karnichi

2024

Preprint

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This paper examines the pedagogical and curricular structures used in Arab translation education. It identifies a significant disparity between these pedagogical interventions and the specific requirements of the translation sector, namely in the Arabian Gulf region. The objective is to perform a comprehensive analysis that compares these practices with international norms, emphasizing the immediate necessity for modernization to improve the quality and applicability of translation education in the Arab environment. The research aims to identify disparities between existing educational methods and the requirements of the industry. It also seeks to suggest improvements for curriculum creation by drawing on global best practices. This study makes a significant contribution to the field by providing valuable insights for educators, students, and stakeholders in translation education. It serves as a professional resource for enhancing Arab translation programs to meet the demands of the global market. By conducting thorough study and comparative research, the goal is to support pedagogical innovations that link academic preparation with industry requirements, thus enhancing the professionalization of translation education

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Section: Literature Reviewmentioning

confidence: 99%

Examining the Future of Translator Education: An In-depth Review of Educational Approaches in the Arab Context

EL-Karnichi

2024

Preprint

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“…The second is personalized education assisted by educational robots, which belongs to the artificial intelligence discipline system, including programming education, robot education, etc [8] . This is a robot specifically designed to cultivate the abilities of special groups of students in the field of education, such as problem-solving, language learning, comprehensive ability, student evaluation, innovative thinking, and practical exploration [9] ; The third is intelligent decision-making assistance. Artificial intelligence can provide intelligent decision support for educational managers, such as predicting students' learning progress, recommending teacher training, etc., helping managers make more accurate and scientific decisions.…”

Section: The Core Essentials Of Artificial Intelligence Empowering Ed...mentioning

confidence: 99%

Research on the Application of Artificial Intelligence Empowered Education Management

2023

jaip

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The technological revolution and industrial transformation have driven artificial intelligence to become the core driving force for a new round. This article explores the application scenarios of artificial intelligence in empowering education management and supply, student learning and evaluation, and teacher teaching and development in the field of educational management. This study proposes to promote the construction of new infrastructure for education management, dual empowerment of education and technology, support the reshaping of future education forms through artificial intelligence, strengthen the cultivation of professional talents in artificial intelligence, attach importance to ethical issues in the application of artificial intelligence in education management, stimulate teachers' high-level thinking and initiative, and lead the next generation of educational artificial intelligence innovation, in order to construct the transformation and innovation of artificial intelligence, improve the quality and efficiency of school education management work, and promote high-quality development of education.

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“…According to the BTI program decision-makers Han and Liu (2020 , 62) at Beijing Language and Culture University, apart from success in their initial innovation in cultivation undergraduate talents from an interdisciplinary perspective, efforts should be made to polish the curriculum in the following-up stages of program development. In China, with nearly 300 colleges and universities providing accredited translation training programs across the nation ( Tao, 2019 ), the question of “how to teach technology” and “what to teach technology” needed to be answered ( Yu, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Teaching data science to undergraduate translation trainees: Pilot evaluation of a task-based course

Yan

2022

Front. Psychol.

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The advancement in technology has changed the workflow and the role of human translator in recent years. The impact from the trend of technology-mediated translation prompted the ratification of technology literacy as a major competence for modern translators. Consequently, teaching of translation technology including but not limited to Computer-aided Translation (CAT) and Machine Translation (MT) became part of comprehensive curricula for translation training programs. However, in many institutions, the teaching of translation technology was haunted by issues such as: narrow scope of curriculum design, outdated technologies, and unbalance between theories and practices in teaching. The study was the pilot evaluation of a tailored course to foster translation trainees’ knowledge and abilities of data science. The course was designed to be a fundamental step toward sophisticated translation technologies. During the pilot evaluation of the 8-week course, 85 students (n = 85) were recruited as participants. The study adopted a mix-method design by employing a survey to investigate student’s level of satisfaction toward the course and focus group discussion to understand students’ attitudes and perceptions of key aspects of the course. By interpreting the results from statistical analysis of the survey (5.39/7) and thematic analysis of the focus group discussion, the course of data science for translators was well received among participants. The evaluation project manifested the feasibility and effectiveness of a translator-oriented data science course.

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The Dilemmas and Reform of Translation Education in the Age of Artificial Intelligence

Cited by 5 publications

References 1 publication

Examining the Future of Translator Education: An In-depth Review of Educational Approaches in the Arab Context

Examining the Future of Translator Education: An In-depth Review of Educational Approaches in the Arab Context

Research on the Application of Artificial Intelligence Empowered Education Management

Teaching data science to undergraduate translation trainees: Pilot evaluation of a task-based course

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