팟캐스트를 활용한 대학 교양 인성교육의 효과

Abstract

This study conducted model classes for 13 weeks to examine the effectiveness of the Personality Education Adapting Podcast as a teaching material in university liberal arts education curriculum. Based on teaching and learning methods, Flipped Learning and Task based Learning, the course was planned as following two stages. The first stage was listening to podcast contents and reading texts related to the main topic of the podcast as an assignment before the class; and second stage was participating in discussion and in-depth activities focusing on the topic during class. By implementing Factor Analysis on the opinions from 122 respondents collected through surveys taken twice at pre and post class, four main factors were extracted; [satisfaction with the class], [recognition of personality], [satisfaction with my personality], and [recognition of effectiveness of the podcast]. The impression essays were analyzed by applying Delphi method and repeating the process of categorization and keyword extraction through continuous discussion among three experts. Comparing the results from pre and post class surveys by taking Paired Sample t-Test, [satisfaction with the class] factor increased from 3.93 before class to 4.38 after class, and [recognition of personality] factor rose about 0.49, from 4.09 before class to 4.58 after class. [Satisfaction with my personality] factor increased about 0.66 from 3.45 before class to 4.11 after class and the last factor, [recognition of effectiveness of podcast] improved about 0.68 from 3.21 before class to 3.89 after class. Moreover, as keywords and frequency of keyword usage elicited from analyzing impression essays supported the results from quantitative data analysis, it was possible to verify effectiveness of the class with various dimensions. It is hoped that the results of this study will contribute to production and design of educational digital contents dealing with personality education and to the research on personality education utilizing digital contents in university.