포스트 코로나를 위한 영어교사 테크놀로지 지식의 형성과 역할에 관한 연구

This study investigated the formation and role of Korean English Teacher’s technological knowledge. The Data for 172 English Teachers in Korea was gathered in this study using the Google questionnaire. The questionnaire was comprised of four parts: TPACK, technology readiness, English teacher’s self-efficacy, and the school infrastructure. The result was confirmed by structural equation modeling (SEM), including the following nine factors: technological knowledge, self-efficacy, school infrastructure, insecurity, content knowledge, discomfort, innovativeness, pedagogical knowledge, and optimism. Structural equation modeling for Korean English teachers’ technological knowledge, revealed only optimism and innovativeness are statistically significant, while insecurity and discomfort do not have a significant effect. Regarding English teachers’ self-efficacy, pedagogical knowledge has a direct statistical influence. Finally, the school infrastructure itself does not meaningfully influence the self-efficacy of English teachers, however the dissatisfaction related to it can be changed by the level of technological knowledge. These findings are discussed with respect to 2020, which presented an unprecedented condition on English teacher’s self-efficacy, and they will be important to determine how to balance remote learning and off-line learning in the COVID-19.