Leveraging AI Translation for Enhancing Information Literacy in Language Education
Keywords:
AI Translation, Information Literacy, Human-Machine Collaboration, Language LearningAbstract
The rapid advancement of artificial intelligence (AI) in education poses challenges in bridging the gap between automated tools and the nuanced understanding required for effective language learning. This study investigates the optimization of AI-based translation to enhance information literacy in language education. Employing a systematic literature review method, the research examines three core questions: the role of AI translation in supporting language learners' comprehension and literacy, challenges, and opportunities in integrating AI translation into curricula, and its effectiveness compared to traditional translation methods. Data were collected from 302 articles, with 38 meeting the inclusion criteria. The analysis revealed that AI translation accelerates access to textual meaning, aiding learners' critical literacy skills. However, limitations in capturing cultural nuances and idiomatic expressions necessitate collaborative human-AI evaluation. The findings propose a "human-machine collaboration" framework, emphasizing learners' active roles in validating AI outputs. This approach broadens technological language learning theories and enhances educational practices. Future studies should explore AI integration strategies within diverse curricula and cross-cultural learning contexts. The practical implications underscore the need for educators to design tasks that engage learners in analyzing and refining AI translations for effective language acquisition and information literacy.
Keywords: AI Translation; Information Literacy; Human-Machine Collaboration; Language Learning.
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