Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
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A Study on the Effect of System Characteristics of Online Lectures on Lecture Satisfaction in the COVID-19 Crisis: Focused on the Moderating Effect of ICT Utilization Ability

코로나19 사태에 온라인 강의의 시스템 특성이 강의만족도에 미치는 영향연구: ICT 활용능력의 조절효과를 중심으로

  • Mo, Ya-Ting (Department of Business Administration, WooSong University) ;
  • Xu, Yu-Jia (Department of Business Administration, WooSong University) ;
  • Lee, Yoon-koo (Department of Convergence Management Corporate management, WooSong University)
  • 莫雅婷 (우송대학교 경영학전공) ;
  • 徐雨佳 (우송대학교 경영학전공) ;
  • 이윤구 (우송대학교 융합경영학부 경영학전공)
  • Received : 2021.06.01
  • Accepted : 2021.09.20
  • Published : 2021.09.28
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Abstract

The purpose of this study is to find the relationship between Online Lecture System, Motivation for Use, ICT Utilization Ability, and Lectures Satisfaction as online lectures continue. For that, conducted survey of students at Woosong University, secured 330 valid samples, and conducted with analysis of actual proof with using SPSS 25.0. The results of the study confirmed that the system's Convenience, Simplicity, Security and Motivation for Use have significantly affected to Lecture Satisfaction, and also confirmed that ICT Utilization Ability, the variable of Moderating Effect, also has meaningful correlation between System Characteristics(Simplicity and Security) and Lecture Satisfaction. Therefore, the need for development and operation of additional education programs to improve ICT Utilization Ability as well as development of new online system are presented in order to enhance online Lecture Satisfaction of students. Lastly, various sample surveys and researches are seems to be needed in the future in order to increase the Lecture Satisfaction.

본 연구의 목적은 온라인 강의가 지속됨에 따라 온라인 강의 시스템, 이용 동기, ICT 활용능력, 강의만족도 간의 관계성을 찾기 위함이다. 이를 위해 우송대학교 재학생들을 대상으로 설문조사를 실시하여 유효표본 330부를 확보하였으며, SPSS 25.0을 활용하여 실증분석을 시행하였다. 연구 결과는 시스템의 편의성·용이성·보안성과 이용 동기가 강의만족도에 유의미한 영향을 미치며, 조절효과의 변수인 ICT 활용능력은 시스템 특성(용이성 및 보안성)과 강의만족도 간의 관계에서도 유의미한 상관관계가 있는 것으로 확인되었다. 따라서 학생들의 온라인 강의의 만족도를 높이기 위해 서는 새로운 온라인 시스템 개발은 물론 ICT활용 능력을 향상시키기 위한 별도의 교육프로그램 개발 및 운영의 필요성을 제시하였다. 끝으로 온라인 강의에 대한 만족도를 높이기 위해 향후 다양한 표본조사와 연구가 필요할 것으로 보인다.

Keywords

References

  1. H. J. CHUNG., A. L. Kim. & H. N. Joo. (2020). In the COVID-19 crisis, A Study on the Types of Perceptions on Online Classes of College Students. The Journal of Learner-Centered Curriculum and Instruction, 20(18), 1359-1381. DOI : 10.22251/jlcci.2020.20.18.1359
  2. J. Y. Lee. & E. J. Lee. (2010). Influence Analysis of System, Information and Service Qualities on Learner Satisfaction in University e-Learning. Educational Research Institute, 41(3), 119-147. UCI : G704-001618.2010.41.3.006
  3. S. K. Roh. (2012). Factors Affecting Dropout Consideration between Non-Distance Education and Distance Education University Students and its Prevention Strategies. Journal of Lifelong Learning Society, 8(1), 23-48. UCI : G704-SER000015054.2012.8.1.006 https://doi.org/10.26857/JLLS.2012.04.8.1.23
  4. S. C. Lee. & J. A. Kim. (2018). Factors that affect student satisfaction with online courses. The Journal of Educational Administration, 36(2), 115-138. DOI : 10.22553/keas.2018.36.2.115
  5. D. Y. Kong. (2021). Coorientational Analysis among Distance Learning Systems Users-Instructors, Leaners and IT practitioners. Doctoral dissertation. Graduate University, Seoul.
  6. S. Y. Song. & H. K. Kim. (2020). Exploring Factors Influencing College Students' Satisfaction and Persistent Intention to Take Non-Face-to-Face Courses during the COVID-19 Pandemic. Asian Journal of Education, 21(4), 1099-1126. DOI : 10.15753/aje.2020.12.21.4.1099
  7. DeLone. W. H. & McLean. E. R. (1992). Information systems success: the quest for the dependent variable. Information systems research, 3(1), 60-95. http://dx.doi.org/10.1287/isre.3.1.60
  8. Fred D. Davis. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 318-340. DOI : 10.2307/249008
  9. Hamilton, S. & Chervany, N. L. (1981). Evaluating information system effectiveness - Part I : Comparing evaluation approaches. MIS Quarterly, 5(3), 55-69. DOI : 10.2307/249291
  10. H. Choi. & E. Y. Choi. (2006). Qualitative Study on Critical Quality Factors in Mobile Computing Services-Focusing on Mobile Data Services. The Journal of the Korea Contents Association, 6(10), 17-24. UCI : G704-001475.2006.6.10.014
  11. J. H. Kim. & K. S. Ha. (2012). The Study of the Effects of the Enterprise Mobile Social Network Service on User Satisfaction and the Continuous Use Intention. Journal of Digital Convergence, 10(8), 135-148. https://doi.org/10.14400/JDPM.2012.10.8.135
  12. G. S. Jeong. (2014). Countermeasure for Preventing a Secondary Damage of Information Leakage using Financial ISAC. Journal of convergence security, 14(5), 31-36. UCI : G704-001662.2014.14.5.003
  13. G. H. Lee. (2020). A Study on Hybrid Certification System for UV Safety and Security. Doctoral dissertation. Konkuk University, Seoul.
  14. H. R. Choi. (2004). The Effects of Interactivity on Mobile Commerce Acceptance in Mobile Environment. The Korea Society of Information Strategy, 7(1), 1-28. UCI : I410-ECN-0102-2009-320-002295051
  15. H. S. Yoon. (2011). A proposal for security framework supporting trusty mobility and its application to a heterogeneous mobile network environment. Doctoral dissertation. Soonchunhyang University, Seoul.
  16. S. Z. Li. (2021). The Effect of the Reliability of Chinese Real Estate Intermediary APP on the Persistent Usage Intention : The Mediating Effect of Customer Satisfaction and the Moderating Effects of Convenience and Corporate Involvement. Doctoral dissertation. Honam University, Seoul.
  17. Berry, L. L., Seider, K., & Grewal, D. (2002). Understanding service convenience. Journal of Marketing, 66(3), 1-17. DOI: 10.1509/jmkg.66.3.1.18505
  18. H. H. Teo, L. B. Oh, C. Lin. & K. K. Wei. An Empirical Study of the Effects of Interactivity and Web User Attitude. International Journal of Human-Computer Studies, 58(3), 281-305. DOI : 10.1016/S1071-5819(03)00008-9
  19. S. Y. Kim, (2010). Effect of characteristics of individual or mobile service on receiving intention of mobile banking of smart phone. Master dissertation. Hongik University, Seoul.
  20. Macleod, M. & Rengger, R. (1993). People and Computers VIII. Cambridge : Published on behalf of the British Computer Society by Cambridge University Press.
  21. S. H. Park. & Y. J. Choi. (2013). The Study of Educational Mobile Application Usage Based on Technology Acceptance Model. Korean Journal of Broadcasting & Telecommunications Research, 2013(82), 9-35. UCI: G704-SER000000521.2013..82.003
  22. C. K. Kim., J. G. Kim. & S. J. Choi. (2017). A Study on the Acceptance Decision Factors for Mobile Easy Payment Services in Digital Convergence Media Ara: Focusing Samsung Pay. Journal of Digital Convergence, 15(4), 213-221. DOI : 10.14400/JDC.2017.15.4.213
  23. C. H. Choi. (2018). The influences of the expectation levels and the images of the premium beauty salons on the trust and the motivation to use regarding the beauty salons. Doctoral dissertation. Seokyeong University, Seoul.
  24. J. E. Chung. & J. W. Paak. (2017). The Effects of Users' Internet Use Motive on the Mouse-over-advertising Effectiveness. The e-Business Studies (Tebs), 18(1), 73-89. DOI : 10.15719/geba.18.1.201702.73
  25. Katz, E. & Blumer, J. G. (1973). Utilization of Mass Communication by the Individual. Beverly Hills: Sage Publications.
  26. Z. J. Sun. (2017). Effects of Shopping Motivation of O2O on Trust and Users' Intention. The e-Business Studies (Tebs), 18(2), 315-329. DOI : 10.20462/TeBS.2017.04.18.2.315
  27. F. Liu. (2021). A Study on the Influence of Viewing Motivation on Users' Satisfaction and Consistent Using in Chinese 'DOUYIN APP'. Doctoral dissertation. Wonkwang University, Seoul.
  28. J. H. Kim. (2006). The Effects of Instructional Control, Metacognition, and Capability of Applying Computer on the Achievement and Satisfaction in the ICT Based Learning Environment. Master dissertation. Ewha Womans University, Seoul.
  29. Kennewell, S. (2005). Researching the influence of interactive presentation tools on teachers' pedagogy. paper presented at the British Educational Research Association Conference, University of Glamorgan, 14-17 September 2005. www.leeds.ac.uk/bei/Education-line/browse/all_items/151717.html
  30. J. Lee. & Y. S. Son. & Y. A. Kim. & Y. K. Seo. & S. E. Kim. (2002). A Study on Standardization and Curriculum Specification of Student ICT Utilization Standards. Daegu : Korea Education and Research Information Service.
  31. Y. J. Joo. & J. H. Kim. (2006). The Effects of Instructional Control, Metacognition, and Capability of Applying Computer on the Achievement and Satisfaction in the ICT Based Learning Environment. The Journal of Elementary Education, 19(2), 145-172. UCI : G704-000649.2006.19.2.001
  32. J. K. Kim. (2004). The Effect of Learner's Characteristics on the Student's Achievement in ICT Teaching-Learning Environment. The Journal of Korean Association of Computer Education, 7(2), 47-56. UCI : G704-001447.2004.7.2.002
  33. Elliott, K. M., & Healy, M. A. (2001). Key Factors Influencing Student Satisfaction Related to Recruitment and Retention. Journal of Marketing for Higher Education, 10(4), 1-11. DOI : 10.1300/J050v10n04_01
  34. Kirkpatrick, D., & Kirkpatrick, J. (2005). Transferring learning to behavior: Using the four levels to improve performance. San Francisco: Berrett-Koehler Publishers.
  35. Locke, E. A. (1976). The nature and causes of job satisfaction. Handbook of industrial and organizational psychology, 1: 1297-1343. DOI: 10.4236/psych.2010.14038
  36. J. Y. Shin. (2008). Factors Influencing Collage Student's Satisfaction on the Business Course. Master dissertation. Kyungpook National University, Seoul.
  37. S. H. Lee. & M. S. Kim. (2015). The Effect of Hotel Employee's Learner factors on Learning satisfaction and job performance competency. Journal of Tourism and Leisure Research, 27(12), 443-462. UCI : G704-000823.2015.27.12.015
  38. Keller, J. M. (1983). Motivational design of instruction. In C. M. Reigeluth (Ed.), Instructional-design theories and models : An overview of their current status. Hillsdale, New Jersey : Lawrence Erlbaum Associates.
  39. Kurucay, M., & Inan, F. A. (2017). Examining the effects of learner-learner interactions on satisfaction and learning in an online undergraduate course. Computers & Education, 115: 20-37. DOI : 10.1016/j.compedu.2017.06.010
  40. Caffarella, R. S. & O'Donnell, J. M. (1991). Judging the quality of work-related, self-directed learning. Adult Education Quarterly, 42(1), 17-29. DOI : 10.1177/074171369104200102
  41. H. W. Hong. (2012). The Effects of Teacher Role and Class Environment on Learners'Satisfaction in Creative Problem Solving. Master dissertation. Kyunggi University, Seoul.
  42. W. G. Shim. (2015). A Study on the Structural Relationships among the Educational Service Quality, Service Value, Customer Satisfaction, Brand Image and Voluntary Behavioral Intention : Focused on the Moderating Effects of Value Congruence. Doctoral dissertation. Gongju, University, Seoul.
  43. M. Jennex. & L. Olfma. (2002). Organizational Memory/Knowledge Effects on Productivity: A Longitudinal Stud. United States: Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02), IEEE Computer Society Press. https://dl.acm.org/doi/abs/10.5555/820742.821028
  44. Bailey, J. E. & Pearson, S. W. (1983). Development of a Tool for Measuring and Analyzing Computer User Satisfaction. Management Science, 29(5), 530-545. https://doi.org/10.1287/mnsc.29.5.530
  45. S. M. Lee. (2003). An Empirical Study on the Users' Satisfaction and Non-users' Expectation for the Mobile Payment System. The Korea Society of Management information Systems. 2003(1), 302-309. URL : https://www.earticle.net/Article/A96876
  46. D. M. Lee., H. S. Ahn. & S. Y. Choo. (2008). The Influence of Learning Performance on the Characteristics of Information System and User's Self-Regulated Characteristics in the e-Learning. Korea Association of Information Systems, 17(1). 83-111. http://dx.doi.org/10.5859/KAIS.2008.17.1.083
  47. H. G. Kim., W. G. So. & H. K. Kim (2015). Affecting the Characteristic Variables(System, Information) of Computing Tax Accounting Systems and Personal Variables to Educational Performance : Focused on KcLep Software. Management & Information Systems Review, 34(5), 111-125. DOI : 10.29214/damis.2015.34.5.006
  48. M. S. Kang & J. J. Young. (2008). A Study on the Effects of the Quality Factors of University Information Systems on Students' Satisfaction Level. Korea Society of Industrial Information Systems, 13(5), 197-213. DOI : 10.9723/jksiis.2020.25.2.087
  49. S. Y. Jeon. & S. H. Kyu. (2010). Factors of the Acceptance Affecting the e-Payment System : Focusing on service quality and social influence. Journal of Korea Academia-Industrial cooperation Society, 11(9), 3239-3248. https://doi.org/10.5762/KAIS.2010.11.9.3239
  50. J. G. Lee. (2018). The Effect of Characteristic Factors in Chinese Mobile Easy Payment Service on Customer Satisfaction and Continuous Use Intention. Doctoral dissertation. Chosun University, Seoul.
  51. Y. T. Mo. (2020). Characteristics of Mobile Payment System and User Characteristics on Satisfaction, Loyalty, and Intention to Reuse : Focused on Alipay User. Master dissertation. Woosong University, Seoul.
  52. L. Wang. (2019). The Impact of the Short Video APP Users'Motivation on Customer Satisfaction in China. Master dissertation. Kyunggi Universit, Seoul.
  53. Z. J. Sun. (2019). Effect of Mobile Payment Services Use Motivation on Satisfaction and Behavior Intention : focusing on Chinese consumers. Journal of Corporation and Innovation, 42(3), 61-76. DOI : 10.22778/jci.2019.42.3.61
  54. D. S. Park, E. Y. Yu. & B. H. Lee. (2013). Relation between Motivations of Using Smartphone and Its Overuse in Health College Students. Journal of Korea Academia-Industrial cooperation Society, 14(5), 2281-2292. DOI : 10.5762/KAIS.2013.14.5.2281
  55. M. K. Lee. & H. J. Woo. & S. J. Ham. & S. H. Jung. (2010). A Study on Activation the Distribution of Smartphone-Based News Content. Seoul : Korea Press Foundation
  56. William H. DeLone. (1988). Determinants of Success for Computer Usage in Small Business. MIS Quarterly, 12(1), 51-61. https://doi.org/10.2307/248803
  57. Montazemi, A. R. (1988). Factors affecting information satisfaction in the context of the small business environment. MIS Quarterly, 12(2), 239-256. https://doi.org/10.2307/248849
  58. J. M. Choi. (2006). A Study for the Influence of Using ICT on the Achievement of Economic Education in Social Studies. Korean Journal of Economic Education, 13(1), 159-179. UCI : G704-001911.2006.13.1.005
  59. B. M. Choi. & H. O. Jun. (2007). The Effects of ICT Use in the Social Studies Problem-solving Method. Research in Social Studies Education, 14(3), 177-208. UCI : G704-001479.2007.14.3.002
  60. M. H. Kang. (2004). Instructional Strategies Reflecting Learner Characteristics for Web-based Learning in University. Duksung Women's University Journal, 2004(33): 235-254. http://www.riss.kr/link?id=A45001099
  61. Hair, J. F. Jr., Anderson, R. E., Tatham, R. L., & Black, W. C. (1995). Multivariate data analysis (4th ed.). Upper Saddle River, NJ: Prentice Hall.