생성형 AI 기반 일본어 한자어 수업 적용 사례 연구 - 강의식 수업과의 비교를 중심으로

A Case Study on the Application of Generative AI in Japanese Kanji Vocabulary Instruction : A Comparative Analysis with Lecture-Based Classes

This study aims to analyze a practical case of applying Generative AI in Japanese language education at the university level, specifically focusing on kanji vocabulary learning, and to compare its educational effects with traditional lecture-based instruction. The participants were 28 undergraduate students enrolled in a course titled “Practical Kanji and Vocabulary.” Over a 15-week semester, both lecture-based and AI-integrated classes were implemented. Quantitative data were collected through pre- and post- surveys, and qualitative insights were derived from learners’ reflective journals. The results indicated that while the lecture-based class received higher satisfaction in terms of content and instructional delivery, the AI- based class—particularly using ChatGPT—fostered greater learner autonomy, practical language use, and motivation. Interactive learning with generative AI was found to be effective in enhancing self-directed learning and creative expression. This study highlights the pedagogical potential of AI-integrated instruction and provides practical implications for Japanese kanji education, offering foundational insights for future innovations in foreign language teaching and curriculum design.

本研究は、大学の日本語教育において生成型AI(Generative AI)を活用した漢字語学習の実践的適用事例を分析し、伝統的な講義式授業と比較してその教育的効果を考察することを目的とした。対象は｢実戦漢字と言葉｣科目を履修した大学生28名であり、15週間にわたる講義式授業と生成型AI活用授業をそれぞれ実施し、事前·事後アンケートおよび学習者のリフレクション日誌を通じて認識の変化と学習経験を量的·質的に分析した。分析の結果、講義式授業は内容、教材、教授方法の面で高い満足度を示したが、生成型AI授業では学習者の自律性、実用的表現力、学習動機の向上などの肯定的な経験が確認された。特にChatGPTを活用した対話的学習プロセスは、学習者の創造性と主体性を促す有効な手段であることが示された。本研究は、日本語の漢字語教育における質的転換の可能性と、AIを活用した授業設計の実践的示唆を提供し、今後の外国語教育のイノベーションを支える基礎的知見となることが期待される。