This study explores the interaction between the lexical and syntactic features of the language generated by ChatGPT with a view to learners’ digital literacy skills. The research aims to determine how ChatGPT’s responses, tailored through user prompting, can adjust complexity and vocabulary levels to suit the educational needs of middle and high school students. The study reveals that ChatGPT can modify its output from a higher vocabulary level (5K) to a more manageable level (3K), aligning with the comprehension levels typical of secondary education texts. Additionally, the analysis of syntactic features such as sentence length and readability scores (FKGL) shows that while ChatGPT maintains consistent lexical diversity and average word length, it effectively reduces sentence complexity in response to simplified user prompts. These findings suggest that ChatGPT can significantly enhance digital literacy by providing tailored educational content. This study contributes to understanding AI in educational contexts, highlighting the importance of precise user interactions to optimize learning outcomes and suggesting a potential shift in pedagogical strategies to incorporate AI tools effectively.
1. 서론
2. 선행연구
3. 연구 방법
4. 연구 결과 및 논의
5. 결론 및 제언
참고 문헌