Earticle

초록

영어

This study reviews the recent literature of which topic related to the application of machine translation (MT) tools in English education. 26 studies published between 2012 and 2023 are selected and analyzed based on the following criteria: publication years, target learners, language skills, effect variables, educational utilization, types of translation tools, and research methodologies. The key findings reveal that MT tools, such as Google Translate and Naver Papago, are frequently used for reading and writing. While the majority MT studies have involved tertiary-level learners' use and perceptions in MT, little attention has been paid to those of young learners. As for publication years, the result indicates three phases such as early adoption, expansion, and refinement, showing increased integration of AI-based tools into the more recent studies. The study also highlights recent trends regarding the cognitive and affective benefits of MT tools, alongside challenges such as over-reliance and cultural and textual inaccuracies. Implications for optimizing MT tools in English education will be discussed.

목차

Abstract
1. Introduction
2. Literature review
3. Methods
4. Findings
4.1 Publication year
4.2 Target learners
4.3 Language skills
4.4 Factors
4.5 Educational utilization
4.6 Types of translation tools
4.7 Research methodology
5. Conclusion and implications
6. Acknowledgement
7. Reference

키워드

저자

• Jaeseok Yang [ Professor, Department of English Education, Daegu National University of Education, Korea ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Internet, Broadcasting and Communication

• 간기

  계간

• pISSN

  2288-4920

• eISSN

  2288-4939

• 수록기간

  2009~2025

• 십진분류

  KDC 326 DDC 380