earticle

논문검색

Convergence of Internet, Broadcasting and Communication

A Systematic Review of Online AI Translation Tools for English Language Learning and Teaching

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

저자정보

  • Jaeseok Yang Professor, Department of English Education, Daegu National University of Education, Korea

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

      0개의 논문이 장바구니에 담겼습니다.