Journal of the Korea Convergence Society (한국융합학회논문지)

Korea Convergence Society (한국융합학회)
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Factors affecting Attitudes and Digital Literacy toward Online Learning of Nurses

간호사의 온라인 학습 태도와 디지털 리터러시에 영향을 미치는 요인: 온라인 간호교육의 융합적 관점에서

  • Kim, Sisook (Department of Nursing, Namseoul University)
  • 김시숙 (남서울대학교 간호학과)
  • Received : 2020.04.28
  • Accepted : 2020.09.20
  • Published : 2020.09.28
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Abstract

This study aimed to determine factors affecting attitudes and digital literacy toward online learning of nurses. A cross-sectional study was conducted from 190 nurses working in hospitals. The factors influencing the online learning attitude were gender, working hospital size, and perceptions of internet usefulness and importance, and the factors influencing digital literacy were age, working position, perceptions of internet usefulness and importance, and attitudes toward online learning. Online learning and educational development of nursing could be explained in the context of rapidly evolving information and communication technologies, and it is necessary to consider learner factors such as attitudes and digital literacy toward online learning.

본 연구는 간호사의 온라인 교육 태도 및 디지털 리터러시에 영향을 미치는 요인을 확인하기 위한 서술적 조사연구이다. 대상자는 국내 의료기관 내·외과 병동에 근무하는 간호사 190명으로 일반적 특성과 인터넷 사용 특성, 온라인 학습 태도와 디지털 리터러시를 조사했다. 본 연구 결과, 온라인 학습태도와 디지털 리터러시는 인터넷에 대한 접근성, 유용성, 중요성 인식과 관련성이 있었다. 온라인 학습 태도에 영향을 미치는 요인은 성별, 근무병원 규모, 인터넷에 대한 유용성과 중요성 인식이었고, 디지털 리터러시에 영향을 미치는 요인은 나이, 직위, 인터넷에 대한 유용성과 중요성, 온라인 학습 태도였다. 온라인 간호교육 개발에는 인터넷 사용에 대한 인식과 온라인 학습 태도 및 디지털 리터러시와 같은 학습자 특성에 대한 고려가 필요하다.

Keywords

References

  1. J. H. Kim & H. Park. (2019). Effects of Smartphone-Based Mobile Learning in Nursing Education: A Systematic Review and Meta-analysis. Asian nursing research. DOI:10.1016/j.anr.2019.01.005
  2. X. V. Wu, Y. S. Chan, K. H. S. Tan & W. Wang. (2018). A systematic review of online learning programs for nurse preceptors. Nurse Education Today, 60, 11-22. DOI: 10.1016/j.nedt.2017.09.010.
  3. C. McGuinness & C. Fulton. (2019). Digital Literacy in Higher Education: A Case Study of Student Engagement with E-Tutorials Using Blended Learning. Journal of Information Technology Education: Innovations in Practice, 18(1), 1-28. https://doi.org/10.28945/4190
  4. M. E. Lahti, R. M. Kontio & M. Valimaki. (2016). Impact of an e-Learning Course on Clinical Practice in Psychiatric Hospitals: Nurse Managers' Views. Perspectives in Psychiatric Care, 52(1), 40-48. DOI:10.1111/ppc.12100
  5. W. Xing, L. Ao, H. Xiao, L. Cheng, Y. Liang & J. Wang. (2018). Nurses' Attitudes toward, and Needs for Online Learning: Differences between Rural and Urban Hospitals in Shanghai, East China. International journal of environmental research and public health, 15(7), 1495. DOI:10.3390/ijerph15071495.
  6. Y. Eun, H. S. Kang & M. Y. Jeon. (2016). Survey on Online Continuing Education Requirements according to Practical Experience of Nurses at Small and Medium Sized Hospitals. The Journal of Muscle and Joint Health, 23(3), 197-205. DOI:10.5953/JMJH.2016.23.3.19
  7. K. McCutcheon, M. Lohan, M. Traynor & D. Martin. (2015). A systematic review evaluating the impact of online or blended learning vs. face-to-face learning of clinical skills in undergraduate nurse education. Journal of advanced nursing, 71(2), 255-270. DOI:10.1111/jan.12509
  8. D. D. Prior,J. Mazanov, D. Meacheam, G. Heaslip & J. Hanson. (2016). Attitude, digital literacy and self efficacy: Flow-on effects for online learning behavior. The Internet and Higher Education, 29, 91-97. DOI:10.1016/j.iheduc.2016.01.001
  9. W. Ng. (2012). Can we teach digital natives digital literacy? Computers & education, 59(3), 1065-1078. DOI:10.1016/j.compedu.2012.04.016
  10. K. Nelson, M.Courier & G. W. Joseph. (2019). An investigation of digital literacy needs of students. Journal of Information Systems Education, 22(2), 2. Available at: https://aisel.aisnet.org/jise/vol22/iss2/2
  11. S. Kwon & S. Hyun. (2014). A study of the factors influencing the Digital Literacy capabilities of middle-aged people in online learning. Korean Journal of the Learning Sciences, 8(1), 120-140. DOI:10.14400/JDC.2018.16.12.109
  12. C. M. Tang & L. Y. Chaw. (2016). Digital Literacy: A Prerequisite for Effective Learning in a Blended Learning Environment? Electronic Journal of E-learning, 14(1), 54-65.
  13. V. McCleary-Jones. (2016). A systematic review of the literature on health literacy in nursing education. Nurse educator, 41(2), 93-97. DOI:10.1097/NNE.0000000000000204
  14. J. E. Cha & H. J. Kang. (2020). Effects of Core Basic Nursing Skills Education Combined with Online Learning on Self-directed Learning Preparation, Academic Self-efficacy, and Self-confidence on Core Basic Nursing Skills. Journal of The Korean Data Analysis Society, 22(1), 433-446. DOI:10.37727/jkdas.2020.22.1.433
  15. Y. H. Seo & M. R. Eom. (2017). The Effects of Clinical Nursing Practicum Education using On-line Nursing Education Contents: Focused on Clinical Nursing Practicum of Special Unit. Journal of Learner-Centered Curriculum and Instruction, 17(15), 539-556. DOI:10.22251/jlcci.2017.17.15.539
  16. M. S. Kim, H. K. Jung, S. M. Kim & M. H. Kim. (2016). Perceptions and Intention to Use of Smart-based Continuing Nurse Education among Nurse Education Managers and Staff Nurses. Journal of The Korea Socity of Health Informatics and Statistics, 41(3), 307-317. DOI:10.21032/jhis.2016.41.3.307
  17. S. S. Kim & J. H. Song. (2020). Study on the Educational Needs for Nursing the Older Patients. Manuscript submitted for publication.
  18. World Health Organization (WHO). (n.d.) Process of tanslation and adaptation of instruments. WHO[Online]. Retrieved April 27, 2020, from https://www.who.int/substance_abuse/research_tools/translation/en/
  19. F. D. Davis. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319-340. DOI:10.2307/249008
  20. M. J. Lee. (2019). Nurses' Perception and Willingness to Pay for Nursing Career Ladder System in General Hospital. Korean journal of hospital management, 24(3), 61-71.
  21. C. S. Chang, E. Z. F. Liu, H. Y. Sung, C. H. Lin, N. S. Chen & S. S. Cheng. (2014). Effects of online college student's Internet self-efficacy on learning motivation and performance. Innovations in Education and Teaching International, 51(4), 366-377. DOI:10.1080/14703297.2013.771429
  22. KOrean Statistical Information Service(KOSIS). (2018). Statictical Database. Statistics Korea. [Online] Retrieved from http://kosis.kr/statisticsList/statisticsListIndex.do?menuId=M_01_01&vwcd=MT_ZTITLE&parmTabId=M_01_01&parentId=I.1;I2.2;164_12005.3;#SelectStatsBoxDiv
  23. J. I. Ahn & Y. K. Seo. (2014). An Analysis of Sub-factors of Digital Media Literacy Divide : Focusing on the effects of generation and economic status. Journal of digital convergence, 12(2), 69-78. https://doi.org/10.14400/JDC.2014.12.2.69
  24. C. Mather & E. Cummings. (2017). Modelling digital knowledge transfer: nurse supervisors transforming learning at point of care to advance nursing practice. Paper presented at the Informatics.
  25. RI. odriguez-de-Dios, J. J. Igartua & A. Gonzalez-Vazquez. (2016). Development and validation of a digital literacy scale for teenagers. Proceedings of the Fourth International Conference on Technological Ecosystems for Enhancing Multiculturality, (pp. 1067-1072), Salamanca, Spain.: Association for Computing Machinery DOI:10.1145/3012430.3012648
  26. S. Shin & H. L. Seung. (2019). A Study on Development and Validity Verification of a Measurement Tool for Digital Literacy for University Students. Journal of Learner-Centered Curriculum and Instruction, 19(7), 749-768. DOI:10.22251/jlcci.2019.19.7.749