Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Nama jurnal : International Journal of Education and Humanities
Jing Chen
Unknown Affiliation
Humanities Education Social Sciences Other

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Artificial Intelligence in Interpreting Education Curriculum: A Delphi Study for Interpreter Competencies Yang, Chunwen; Jing Chen; Deyan Zou
International Journal of Education and Humanities Vol. 5 No. 3 (2025): International Journal of Education and Humanities (IJEH)
Publisher : Ilmu Inovasi Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58557/(ijeh).v5i3.323

Abstract

This study explores essential competencies for interpreters in the age of artificial intelligence (AI) to ensure they are well-equipped to navigate an evolving professional landscape. Using the Delphi method, a panel of experts identified and ranked key competencies necessary for interpreting graduates, ultimately classifying these into six primary dimensions: Core Cognitive Abilities, Lifelong Learning and Professional Development, Communication and Interpersonal Skills, Specialized Domain Knowledge and Linguistic Expertise, Ethics and Professionalism, and Technology and Information Management. The Technological Pedagogical Content Knowledge (TPACK) framework underpins the study, providing a structured approach to understanding the intersection of AI and interpreter competencies, emphasizing the need for critical thinking, adaptability, and ethical judgment. Findings indicate that competencies such as adaptability and critical thinking are vital for future interpreters, with implications for both curriculum development and professional training in interpreting education. Despite limitations in the diversity of expert perspectives, this study contributes valuable insights to interpreting education, highlighting areas for future research in refining competency frameworks and adapting curricula to AI-driven demands in interpreting
Co-Authors Deyan Zou Yang, Chunwen