$\require{mediawiki-texvc}$

연합인증

연합인증 가입 기관의 연구자들은 소속기관의 인증정보(ID와 암호)를 이용해 다른 대학, 연구기관, 서비스 공급자의 다양한 온라인 자원과 연구 데이터를 이용할 수 있습니다.

이는 여행자가 자국에서 발행 받은 여권으로 세계 각국을 자유롭게 여행할 수 있는 것과 같습니다.

연합인증으로 이용이 가능한 서비스는 NTIS, DataON, Edison, Kafe, Webinar 등이 있습니다.

한번의 인증절차만으로 연합인증 가입 서비스에 추가 로그인 없이 이용이 가능합니다.

다만, 연합인증을 위해서는 최초 1회만 인증 절차가 필요합니다. (회원이 아닐 경우 회원 가입이 필요합니다.)

연합인증 절차는 다음과 같습니다.

최초이용시에는
ScienceON에 로그인 → 연합인증 서비스 접속 → 로그인 (본인 확인 또는 회원가입) → 서비스 이용

그 이후에는
ScienceON 로그인 → 연합인증 서비스 접속 → 서비스 이용

연합인증을 활용하시면 KISTI가 제공하는 다양한 서비스를 편리하게 이용하실 수 있습니다.

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

디지털융복합연구 = Journal of digital convergence, v.19 no.9, 2021년, pp.43 - 57  

莫雅婷 (우송대학교 경영학전공) ,  徐雨佳 (우송대학교 경영학전공) ,  이윤구 (우송대학교 융합경영학부 경영학전공)

초록
AI-Helper 아이콘AI-Helper

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.

Abstract AI-Helper 아이콘AI-Helper

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 analysi...

주제어

표/그림 (10)

참고문헌 (61)

  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 

  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?idA45001099 

  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. 

저자의 다른 논문 :

관련 콘텐츠

오픈액세스(OA) 유형

BRONZE

출판사/학술단체 등이 한시적으로 특별한 프로모션 또는 일정기간 경과 후 접근을 허용하여, 출판사/학술단체 등의 사이트에서 이용 가능한 논문

이 논문과 함께 이용한 콘텐츠

저작권 관리 안내
섹션별 컨텐츠 바로가기

AI-Helper ※ AI-Helper는 오픈소스 모델을 사용합니다.

AI-Helper 아이콘
AI-Helper
안녕하세요, AI-Helper입니다. 좌측 "선택된 텍스트"에서 텍스트를 선택하여 요약, 번역, 용어설명을 실행하세요.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.

선택된 텍스트

맨위로