디지털 리터러시 기반의 스페인어 텍스트 분석 수업 사례 연구

초록

This research explores a digital literacy-based approach to incorporating text analysis into undergraduate humanities education. Beyond technical mastery, computational tools should serve as practical aids to close reading and critical interpretation. Drawing on a Spanish language and literature course conducted in 2024 and 2025, the study examines how students used Python and R to analyze both classical literary works and contemporary non-literary corpora. By analyzing students' reports and discussions, the research investigates how their interpretive questions developed. The results show that data-driven findings functioned not as final answers, but as starting points for deeper inquiry, encouraging students to challenge linguistic patterns across genres. Despite the rise of automated coding, the core of humanities education remains the critical literacy needed to evaluate and contextualize machine-generated data.

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