DOI QR코드

DOI QR Code

예비유아교사들의 테크놀로지 활용의도 관련변인 간의 관계 규명

An Investigation of the Predictability of Variables Related to Kindergarten Preservice Teachers' Technology Intention to Use

  • 정애경 (인천재능대학교 유아교육과) ;
  • 홍유나 (인천재능대학교 유아교육과) ;
  • 강정진 (동서울대학교 정보통신과)
  • 투고 : 2016.11.05
  • 심사 : 2016.12.09
  • 발행 : 2016.12.31

초록

본 연구는 예비유아교사들의 테크놀로지 활용의도에 영향을 미치는 테크놀로지에 대한 지각된 사용용이성, 지각된 유용성, 테크노스트레스 변인들 간의 예측력을 규명하는 것을 목적으로 하였다. 이를 위해 예비유아교사 교육을 받고 있는 64명 대학생을 대상으로 설문조사를 실시하고 중다회귀분석을 통해 분석하였다. 연구결과 첫째, 지각된 사용 용이성은 지각된 유용성에 유의한 영향을 미친것으로 나타났다. 둘째, 지각된 사용용이성은 테크노스트레스에 부적인 영향을 미친 것으로 나타났다. 마지막으로 지각된 유용성은 테크놀로지 활용의도에 유의한 영향을 미쳤으나 테크노스트레스는 테크놀로지 활용의도에 부적인 영향을 미친 것으로 나타났다. 이러한 결과를 통해서 예비유아교사들이 테크놀로지를 보다 쉽게 사용할 수 있고 테크노스트레스를 완화할 수 있도록 테크놀로지 사용에 관한 다양한 교육의 기회가 주어져야 할 것으로 보인다. 나아가 테크놀로지가 유아교육환경에서 유용한 교수학습매체로서 활용될 수 있는 다양한 전략들이 개발되어져야 할 것이다.

The purpose of this study is to investigate the predictability of variables among technology easy to use, perceived usefulness, and technostress that had impacts on kindergarten preservice teachers' technology intention to use. For this study, the survey data collected by 64 students who were enrolled in the kindergarten preservice teacher education were analysed by using multiple regression analysis. The results of this study showed as follows. First, technology easy to use significantly affected perceived usefulness. Second, technology easy to use negatively affected technostress. Third, perceived usefulness significantly affected technology intention to use while technostress negatively affected it. From this results, it is revealed that various technology training opportunities would be provided for improving preservice teachers' technology intention to use and lessing preservice teachers' technostress. Furthermore, effective teaching-learning strategies for utilizing technology as an educational media should be developed in the early childhood educational environment.

키워드

참고문헌

  1. Y. N. Hong, "An investigation of predictability among variables having an effect on problem solving skill and achievement in collaborative learning by utilizing SNS", The Journal of The Institute of Internet, Broadcasting and Communication, vol.16, no.5, pp.221-228, 2016. DOI: https://dx.doi.org/10.7236/JIIBC.2016.16.5.221
  2. S. J. Park, "Do you know 'Kids Smart?', http://etoday.co.kr/news/section/newsveiw.php?indexno=1164781, 2015,7,17
  3. Y. J. Lee and H. J. Gil, "Perception and Attitude of Pre-Service Early Childhood Education Teacher about The Introduction and Utilization of Smart Education", Journal of Digital Convergence, vol.14, no.1, pp.13-23, 2016.
  4. N. H. Kim, "Investigating the structural relationship among factors affecting secondary teachers' technostress and intention to use of technology", Masters dissertation, Ewha Womans University, 2013.
  5. M. Fishbein & I. Ajzen, "Belief, attitude, intention, and behavior: an introduction to theory and research. Reading", MA: Addison-Wesley, 1975.
  6. F. D. Davis "Perceived usefulness, perceived ease of use, and user acceptance of information technology", MIS Quarterly, vol.13, no.3, pp.319-340, 1989. https://doi.org/10.2307/249008
  7. C. Brod, "Technostress: The human cost of the computer revolution", Mass: Addison-Wesley, 1984.
  8. C. Lin, H. Shih & P. J. Sher, "Integrating technology readiness into technology acceptance: the TRAM model", Psychology and Marketing, vol.24, no.7, pp.641-657, 2007. https://doi.org/10.1002/mar.20177
  9. Y. J. Joo, A. K. Chung, J. J. Kang and K. Y. Go, "Identification of the Predictability of SNS Intention to Use and Related Variables in Collaborative Learning", The Journal of The Institute of Internet, Broadcasting and Communication, vol.15, no.3, pp.191-199, 2015. DOI: https://dx.doi.org/10.7236/JIIBC.2015.15.3.191
  10. R. H. Kay, "Exploring the relationship between emotions and the acquisition of computer knowledge", Computers & Education, vol.50, no.4, pp.1269-1283, 2008. https://doi.org/10.1016/j.compedu.2006.12.002
  11. J. E. Lee and M. S. Shin, "Factors for the Adoption of Smartphone-based Mobile Banking : On User's Technology Readiness and Expertise", The Journal of Society for e-Business Studies, vol.16, no.4, pp.155-172, 2011. https://doi.org/10.7838/jsebs.2011.16.4.155
  12. J. C. Oh, S. J. Yoon and W. Woo, "A study on factors of intention toward using mobil internet service: Revised TRAM. Journal of the Korea Service Management Society, vol.11, no.5, pp.127-147, 2010. https://doi.org/10.15706/jksms.2010.11.5.006
  13. S. S. Seo, "Exploration of digital textbook adoption and implementation based on an extended technology acceptance model", Journal of The Korean Association of Information Education, vol.15, no.2, pp.265-275, 2011.
  14. S. A. Brown, A. P. Massey, M. M. Montoya-Weiss & J. R. Burkman, "Do I really have to? User acceptance of mandated technology", European journal of information systems, vol.11, no.4, pp.283-295, 2002. https://doi.org/10.1057/palgrave.ejis.3000438
  15. N. H. Chung, H. A. Lee and C. M. Koo, "The effect of tourist's technology readiness on the acceptance of an augmented reality tour application", Journal of Korean Tourism Management, vol.29, no.1, pp.265-285, 2014.
  16. Y. J. Joo, H, Y. Yu and E. G. Lim, "Structural Relationships among Technology Readiness, Perceived Usefulness, Ease of Use, Playfulness and Intention to Use e-Learning", Journal of educational studies, vol.47, no.2, pp.53-72, 2016. DOI: https://dx.doi.org/10.15854/jes.2016.06.47.2.53
  17. M. J. Kim and H. S. Cheon, "The Comparative Study of Attitude toward E-learning Adoption between Korean and Vietnamese College Students", The e-business studies, vol.15, no.1, pp.25-51, 2014.
  18. M. Rezaei, H. M. Mohammadi, A. Asadi & K. Kalantary, "Predicting e-Learning application in agricultural higher education using technology acceptance model", Turkish online journal of distance education. vol.98, no.1, pp.85-95, 2008
  19. P. D. Chatzoglou, L. Sarigiannidis, E. Vraimaki & A. Diamantidis, "Investigating Greek employees' intention to use web-based training", Computers & Education. vol.53, no.3, pp. 877-889, 2009. https://doi.org/10.1016/j.compedu.2009.05.007
  20. Loyd & D. E. Loyd, "The reliability and validity of instruments for the assessment of computer attitudes", Educational and Psychological Measurement, vol.45, no.4, pp.903-908, 1985. https://doi.org/10.1177/0013164485454021
  21. S. Taylor & P. A. Todd, "Understanding information on technology usage: A test of competing models", Information Systems Research, vol.6, no.2, pp.144-176, 1995. https://doi.org/10.1287/isre.6.2.144