Artificial Intelligence Technologies in College English Translation Teaching

Area of Science:

• Educational Technology
• Translation Studies
• Applied Linguistics

Background:

• Digital transformation necessitates new competencies for professional translators.
• Online services and artificial intelligence (AI) are increasingly relevant in translator education.
• Higher education institutions in China are adapting curricula to meet industry demands.

Purpose of the Study:

• To explore the practical applications of AI in professional English-speaking translator education.
• To identify essential translator competencies for the digital era.
• To evaluate the demand for online services in interpreter training.

Main Methods:

• A survey conducted among educators at Chinese higher education institutions during an online conference.
• Analysis of translator competencies required for digital transformation.
• Development of a pedagogical concept for an online educational course based on a competency-based approach.

Main Results:

• AI technologies can significantly impact the development of key competencies for future translators.
• Educators identified specific competencies crucial for professional success in a digitally transforming market.
• Demand exists for online services in English-Chinese interpreter education.

Conclusions:

• Integrating AI into translator education is a practical and impactful strategy.
• A competency-based approach is vital for developing necessary skills, knowledge, and abilities.
• The developed pedagogical concept for an online course addresses simultaneous and asynchronous translation in a digital environment.