Work

Teaching Arabic-Korean translation using ChatGPT

Year: 2025

Type: article

Abstract: This study aims to examine a three-stage instructional design for an Arabic-Korean translation class, using ChatGPT as a comparison model. The study seeks to provide an effective instructional design for a translation class that adapts to the rapid development of AI-based machine translation. In this design, students are guided and supervised to practice translation and discuss strategies without relying on AI-based tools in the classroom. ChatGPT's output is used as a comparison model for their own translations. The findings indicate that this approach enhances students' critical thinking regarding AI-based machine translation and raises their awareness of the potential risks associated with uncritical reliance on such technologies without subsequent revision. However, analysis and evaluation proved to be challenging skills, as students are not accustomed to them. Further research is needed to refine this instructional design, taking into account the difficulty levels of the source texts. Additionally, tasks such as "evaluate" and "create an improved version" should be simplified and clarified, by providing more detailed steps and examples in task instructions to help students better understand the requirements.

Source: Social Sciences & Humanities Open

DOI: 10.1016/j.ssaho.2025.101484

Authors: Esraa Hasan, Nadia Naqrash, Ahmad Khaleel AL Khabbas

Institution: University of Jordan

Language: English

Topic: Translation Studies and Practices

Subfield: Language and Linguistics

Field: Arts and Humanities

Domain: Social Sciences

SDG: Quality education

Open Access status: gold

Estimated APC paid: $1,180