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The Role of Digital Literacy and IS Success Factors Influencing on Distance Learners' Satisfaction and Continuance

디지털 리터러시와 정보시스템 성공요인이 원격학습자의 만족도와 지속 사용 의도에 미치는 영향

  • Kim, Yong-Young (Department of Business Administration, Konkuk University) ;
  • Joo, Yeon-Woo (Department of Educational Technology, Hanyang University) ;
  • Park, Hye-Jin (Center for Teaching and Learning, Konkuk University)
  • 김용영 (건국대학교 경영학과) ;
  • 주연우 (한양대학교 대학원 교육공학과) ;
  • 박혜진 (건국대학교 교수학습지원센터)
  • Received : 2021.09.16
  • Accepted : 2021.11.20
  • Published : 2021.11.28

Abstract

Distance learning (DL) has become a major issue in the educational field with the spread of COVID-19. In order to enhance the satisfaction of DL learners, efforts to cultivate learners' competencies, as well as investment to build IT infrastructure, and activities to support high-quality content provision should be comprehensively considered. Based on a survey of 221 college students, this study verified that digital literacy (knowledge, skill, and mind) and information systems success factors (system, information, and service quality) all positively affect DL satisfaction, in turn, which positively influences on DL continuance. This study is meaningful in that it comprehensively considered learner's ability and IT infrastructure and analyzed the effect on the satisfaction and intention of continuous use of DL. In the future, it is necessary to expand the target of not only college students but also elementary and secondary students and instructors, and to further consider interaction, which is a major factor in the distance learning process.

원격수업은 COVID-19 확산과 함께 교육 현장에서 주요 이슈가 되었다. 원격교육 학습자의 만족을 제고하기 위해 학습자의 역량을 배양하는 노력과 함께 정보기술 인프라를 구축하고 양질의 콘텐츠 제공과 학습을 지원하는 활동도 포괄적으로 고려되어야 한다. 본 연구는 대학생 221명의 설문을 바탕으로 SmartPLS를 활용한 구조방정식모델을 통해 디지털 리터러시의 하위요인인 지식, 기술, 태도와 정보시스템의 성공 요인의 하위요인인 시스템 품질, 정보 품질, 서비스 품질 모두 원격수업의 만족도에 긍정적인 영향을 주며, 차례로 만족도 또한 원격수업의 지속 사용 의도에 긍정적인 영향을 준다는 점을 검증하였다. 본 연구는 원격수업의 만족도와 지속 사용 의도에 미치는 영향을 학습자 능력과 정보기술 인프라를 포괄적으로 고려하여 분석했다는 점에서 의의가 있다. 향후 대학생뿐만 아니라 초중등 학생 및 교수자 등으로 대상을 확대하고, 원격수업 과정의 주요 요인인 상호작용 등을 추가적으로 고려하여 연구를 심화할 필요가 있다.

Keywords

References

  1. H. Son & S. Chin (2021). The Exploration of University Education in Post-Corona Era. Culture and Convergence, 43(2), 15-34.
  2. T. Kim (2021). Analysis on Students' Digital Literacy Competency in College of Humanities and Social Sciences. The Journal of Humanities and Social Science 21. 12(3), 1091-1104.
  3. Y. Kwon & H. Park (2020). An Exploration of Relationship between Mobile Learning System Quality and Learning Flow and Satisfaction. Journal of Korea Society of Digital Industry and Information Management. 16(4), 111-121. https://doi.org/10.17662/KSDIM.2020.16.4.111
  4. C. L. Scott (2015). What Kind of Learning for the 21st Century? Education Research and Foresight Working Paper Series. 14.
  5. Y. Eshet (2004). Digital Literacy. Journal of Educational Multimedia and Hypermedia. 13(1), 93-106.
  6. Y. Seo & S. Kwon (2004). A Case Study of the Strategies for Praxis-based Digital Literacy Learning. Journal of Educational Technology. 20(2), 101-131. https://doi.org/10.17232/KSET.20.2.101
  7. L. Guglielmino & P. Guglielmino (2003). Are Your Learners Ready for e-Learning? The AMA Handbook of e-Learning.
  8. M. S. Yang & J. K. Kim (2016). Development a Scale for e-Learning Digital Literacy. Journal of Korean Association for Educational Information and Media, 22(3), 485-507. https://doi.org/10.15833/KAFEIAM.22.3.485
  9. Y. H. Moon, A. R. Hong, & J. S. Hwang (2017). A Study on the Effect of User's Personality and Accessibility on Digital Literacy. Information Society & Media, 18(2), 33-64.
  10. J. Yoo (2002). Today and Future of E-Learning in the Knowledge-Based Society. Information and Telecommunication Policy. 285
  11. K. Heo & C. Chung (2011). The Development and Validation of a Digital Literacy Scale for Kindergarten Teachers. Journal of Early Childhood Education. 31(5), 225-251.
  12. J. Han & J. Oh (2006). Operational Definition and Sub-category Identification of Digital Literacy to Facilitate Knowledge and Information Capabilities in the 21st Century. KERIS Issue Report. 78.
  13. Y. Lee, M. Kang, S. Yoon & J. Park (2016). Analysis of Predicting Variables of the 21st Century Skills in Elementary Smart-learning using Smart-pads. The Journal of Elementary Education, 29(4), 201-226.
  14. C. C. Kuhlthau (1995). The Process of Learning from Information. School Libraries Worldwide. 1(1), 1-12. https://doi.org/10.29173/slw6939
  15. W. H. DeLone & E. R. McLean (1992). Information Systems Success. Information Systems Research. 3(1), 60-95. https://doi.org/10.1287/isre.3.1.60
  16. W. H. DeLone & E. R. McLean (2003). The DeLone and McLean Model of Information Systems Success. Journal of Management Information Systems. 19, 9-30. https://doi.org/10.1080/07421222.2003.11045748
  17. M. Lee, J. Choi & J. Seok (2018). A Study about e-Learning Quality, Learner Satisfaction, and eWOM based on Information Systems Success Model(ISSM). Korean Business Education Review. 33(2), 1-21.
  18. J. Lee, J. Kim & D. Park (2019). A Study of Verifying e-Portfolio System Success Model in a College Education. The Journal of Information Systems. 28(3), 203-225. https://doi.org/10.5859/KAIS.2019.28.3.203
  19. J. Joo, K. Lim & S. Park (2014). Analysis of Structural Relationships among System, Information, and Service Quality, User Satisfaction, Learning Transfer in an Online Professional Development Program. Journal of Educational Studies. 45(3), 45-67.
  20. Y. Kim (2008). Guideline for e-Learning Quality of Elementary and Secondary Education (Ver. 2.0). Korea Education and Research Information Service.
  21. J. Lee, S. Kim & J. Kim (2013). Analysis of Quality Factors Influencing Learner Satisfaction on Mobile Learning Linked to e-Learning in Universities. Journal of Educational Technology. 29(2), 209-240. https://doi.org/10.17232/KSET.29.2.209
  22. M. Park (2016). A Study on the Effect of e-Learning Quality in Online Music Education on Learning Outcomes. Journal of Music Education Science. 28, 1-15.
  23. M. Lee, J. Choi & J. Seok (2018). A Study about e-Learning Quality, Learner Satisfaction, and eWOM based on Information Systems Success Model(ISSM). Korean Business Education Review. 33(2), 1-21.
  24. A. Bhattacherjee (2001). Understanding Information Systems Continuance. MIS Quarterly. 25(3), 351-370. https://doi.org/10.2307/3250921
  25. T. Jung, (2002). Implications of Student Retention Studies in the United States. The Korean Society for Study of Vocational Education, 21(2), 327-342.
  26. G. Kim & Y. Na (2021). A Study on the Influence of Online Dance Education Service Quality on User Satisfaction, Continuance, and Intention to Continue Study. Journal of Digital Convergence, 19(1), 401-410. https://doi.org/10.14400/JDC.2021.19.1.401
  27. M. Yang & J. Kim (2016). Development a Scale for e-Learning Digital Literacy. Journal of Korean Association for Educational Information and Media. 22(3), 485-507. https://doi.org/10.15833/KAFEIAM.22.3.485
  28. J. Kang, H. Song & H. Kim (2014). Development and Application of the Diagnostic Instruments for Measuring Digital Literacy in the Smart Society. Journal of Korean Association for Regional Information Society. 17(3), 143-173.
  29. J. Lee (2007). Service Quality and Customer Satisfaction in On-line Education Service. Korean Journal of Business Administration. 20(3), 1169-1192.
  30. J. Cheong, G. Shin & H. Kim (2016). Effects of Quality and Personal Factors of Mobile Learning System on the Corporate Employees' Learning Transfer. Korean Business Education Review. 31(4), 469-493. https://doi.org/10.23839/kabe.2016.31.6.469
  31. A. K. Islam (2011). The Determinants of the Post-Adoption Satisfaction of Educators with an E-Learning System. Journal of Information Systems Education. 22(4), 319-330.
  32. J. Y. Thong., S. Hong & K. Y. Tam (2006). The Effects of Post-Adoption Beliefs on the Expectation-Confirmation Model for Information Technology Continuance. International Journal of Human-Computer Studies. 64(8), 799-810. https://doi.org/10.1016/j.ijhcs.2006.05.001
  33. T. J. Kline (2005). Psychological Testing: A Practical Approach to Design and Evaluation. Sage Publications.
  34. J. C. Nunnally (1967). Psychometric Theory. McGraw Hill, NY.
  35. D. Gefen, D. W. Straub & M-C. Boudreau (2000). Structural Equation Modeling and Regression. Communications of AIS. 4(7), 1-77.
  36. J. Steenkamp & H. Trijp (1991). The Use of LISREL in Validating Marketing Constructs. International Journal of Research in Marketing. 8(4), 283-299. https://doi.org/10.1016/0167-8116(91)90027-5
  37. D. S. Staples, J. S. Hulland & C. A. Higgins (1998). A Self-Efficacy Theory Explanation for the Management of Remote Workers in Virtual Organizations. Journal of Computer-Mediated Communication. 3(4), 758-776.
  38. N. Kock (2015). Common Method Bias in PLS-SEM. International Journal of e-Colllaboration, 11(4), 1-10.