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좋은 컴퓨터 실습수업에 대한 대학생의 인식 연구: 교양 수업을 대상으로

A study on Student’s perceptions of Good Computer Practice Classes: Focusing on General education course

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This study investigates university students' perceptions of what constitutes a "good" computer practice class, focusing on general education courses. Using advanced text analysis techniques, including LLM-based keyword extraction, GPT embedding, and network analysis with the Louvain algorithm, the study analyzed students' actual course experiences. The results identified nine constituent clusters, structured into four main categories: Quality and Understanding of Lecture, Teaching Method and Process, Operation Method, and Professor and Learning Materials. Centrality analysis highlighted three key elements: Class Operation, Lecture Quality, and Operation Method. This suggests that students define a good class not merely by skill acquisition, but by a holistic learning experience combining understandable explanations, systematic practical training, and flexible operation. The findings offer practical guidelines for designing effective computer practice classes to enhance digital competence in general education.

Abstract

This study investigates university students' perceptions of what constitutes a "good" computer practice class, focusing on general education courses. Using advanced text analysis techniques, including LLM-based keyword extraction, GPT embedding, and network analysis with the Louvain algorithm, the study analyzed students' actual course experiences. The results identified nine constituent clusters, structured into four main categories: Quality and Understanding of Lecture, Teaching Method and Process, Operation Method, and Professor and Learning Materials. Centrality analysis highlighted three key elements: Class Operation, Lecture Quality, and Operation Method. This suggests that students define a good class not merely by skill acquisition, but by a holistic learning experience combining understandable explanations, systematic practical training, and flexible operation. The findings offer practical guidelines for designing effective computer practice classes to enhance digital competence in general education.

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