한국컴퓨터정보학회논문지 (Journal of the Korea Society of Computer and Information)

  • 제18권7호
  • /
  • Pages.183-190
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  • 2013
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  • 1598-849X(pISSN)
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  • 2383-9945(eISSN)
한국컴퓨터정보학회 (Korean Society of Computer Information)
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스마트교육 수용의도에 영향을 미치는 요인 간의 관계 분석

The Relationships among Factors that Effects on Acceptance Intention in Smart Education

  • 강혜영 (아주대학교 교육대학원 컴퓨터교육전공) ;
  • 김성완 (연세대학교)
  • 투고 : 2013.04.17
  • 심사 : 2013.07.05
  • 발행 : 2013.07.31
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초록

이 연구는 스마트교육 수용의도에 영향을 미치는 요인들의 관계를 분석하는데 목적이 있다. 기존 정보기술수용모형(technology acceptance model) 관련 선행연구를 토대로, 스마트교육 수용의도에 영향을 미치는 잠재모형을 개발하였다. 잠재모형의 예비타당성 검증절차를 거친 후, 이를 통해 수정된 모형을 검증하기 위해 경기도 A 연구소의 스마트교육 체험학습프로그램을 이수한 초 중 고등학생 132명을 대상으로 설문조사를 실시하고 그 자료를 수집 및 분석하였다. 연구결과, 다음과 같은 가설들이 채택되었다. 상호작용성은 지각된 유용성에 영향을 미친다(가설I). 상호작용성은 지각된 사용용이성에 영향을 미친다(가설II). 상호작용성은 지각된 수용의도에 영향을 미친다(가설III). 사회적 영향은 지각된 유용성에 영향을 미친다(가설IV). 사회적 영향과 상호작용성은 서로 영향을 미친다(가설V). 지각된 유용성은 수용의도에 영향을 미친다(가설VI). 지각된 사용용이성은 수용의도에 영향을 미친다(가설VII). 또한 연구모형의 적합도검증 결과, ${\chi}^2$값은 6.600, 유의확률은 .086으로서 유의수준 .05에서 모형과 자료가 일치한다는 영가설이 채택되었으며, CFI와 NNFI(TLI) 값은 각각 .99, .99로 높은 적합도 수준을 보였다. 다만, RMSEA 값은 .09로서 다소 높은 값을 보이지만, 수정된 연구모형의 적합성을 해하는 수준은 아닌 것으로 판단되었다.

This study aims to analyze the relationships among factors which influence acceptance intention of smart education. Based on literature reviews related with previous technology acceptance models, a potential model and seven hypotheses were suggested. Questionnaire was carried out among 132 students from elementary and secondary schools. They have experiences of utilizing applications of mobile devices for instructional goal. Cronbach alpha of the questionnaire was .78. The collected data were analyzed through path analysis. The results of this research are as follows. Seven hypotheses were adopted: Interaction will affect on perceived usefulness, Interaction will affect on perceived ease of use, Interaction will affect on acceptance intention, Interaction will affect on social influence, Social influence will affect on perceived usefulness, Perceived usefulness will affect on acceptance intention, Perceived ease of use will affect on acceptance intention. The model revised through the results of path analysis had good-fitness. That is, overall fit measures (RMSEA, CFI, NNFI), indexes that show the suitability of the model were quite good.

키워드

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