[논문]온라인 수업 만족도 및 사용 의도에 미치는 요인들 연구

엄남현

doi:10.15207/jkcs.2022.13.04.203

온라인 수업 만족도 및 사용 의도에 미치는 요인들 연구
Factors Affecting Students' Satisfaction with Online Learning and Intention to Use Online Learning 원문보기

한국융합학회논문지 = Journal of the Korea Convergence Society, v.13 no.4, 2022년, pp.203 - 211

엄남현 (홍익대학교 광고홍보학부)

초록
AI-Helper

코로나 19 팬데믹으로 인해 온라인 교육 시장은 전세계적으로 성장했으며, 온라인 교육은 미래 교육을 지배할 것이라는 예상이다. 본 연구는 온라인 수업 만족도 및 온라인 수업 사용 행동 의도에 영향을 줄 수 있는 인간적 요인으로 자기효능감, 시스템 요인들로 인지된 사회적 실재감 및 인지된 교수 실재감의 효과를 살펴보고 있다. 본 연구에는 수업에서 추가 점수를 받은 조건으로 236명의 학생들이 온라인 서베이에 참여했다. 연구결과, 사회적 실재감과 교수 실재감이 높은 사람들은 사회적 실재감과 교수 실재감이 낮은 사람들보다 온라인 수업 만족 및 온라인 수업 행동 의도가 높은 것으로 나타났다. 또한, 본 연구는 자기 효능감이 높은 사람들은 자기 효능감이 낮은 사람들보다 더 높은 온라인 수업 만족 및 온라인 수업 행동 의도를 보인다는 결과를 밝혀냈다. 본 연구는 온라인 수업에서 학생들의 만족도 및 온라인 교육 사용 의도를 높이는데 있어 이론적 그리고 실무적 시사점을 제공한다.)

Abstract ▼ AI-Helper

Due to the Corona-19 pandemic, online education has grown worldwide and it is now being predicted that online education will dominate the future of education. This study examines, as characteristics of the human factor, the effect of self-efficacy; as system factors influencing learners' satisfaction with online learning and behavioral intention to use online learning, this study examines perceived social presence and perceived teaching presence. Participating in this study were 236 students who filled out an online survey in return for course credits. Study findings suggest that individuals with high social presence and teaching presence will have higher satisfaction with online learning and higher behavioral intention to use online learning than those with low social presence and teaching presence. The study also found that individuals with high self-efficacy have higher satisfaction with online learning and higher behavioral intention to use online learning than those with low self-efficacy. This study provides theoretical implications as well as practical implications for e-learning educators when it comes to enhancing students' satisfaction with online learning and behavioral intention to use online learning.

주제어

표/그림 (2)

표 Table 1. MANOVA Results
표 Table 2 Tests of Between-Subject Effect

참고문헌 (40)

Y. C. Kuo, A. E. Walker, K. E. Schroder & B. R. Belland. (2014). Interaction, Internet self-efficacy, and self-regulated learning as predictors of student satisfaction in online education courses. The internet and higher education, 20, 35-50.

상세보기
M. Weigold. (2020). Succeeding in Online Advertising Education. Journal of Advertising Education, 24(1), 69-73.

상세보기
R. M. Bernard, P. C. Abrami, Y. Lou, E. Borokhovski, A. Wade, L. Wozney & B. Huang, (2004). How does distance education compare with classroom instruction? A meta-analysis of the empirical literature. Review of Educational Research, 74(3), 379-439.

상세보기
B. Means, Y. Toyama, R. Murphy, M. Bakia & K. Jones. (2009). Evaluation of evidence-based practices in online learning: A meta-analysis and review of online learning studies. US Department of Education.
I. E. Allen & J. Seaman. (2010). Class differences: Online education in the United States, 2010. Sloan Consortium (NJ1).
National Center for Education Statistics. (2008). Distance education at degree-granting postsecondary institutions: 2006-07. US Department of Education. NCES 2009-044.
D. Klein & M. Ware. (2003). E-learning: New opportunities in continuing professional development. Learned publishing, 16(1), 34-46.

상세보기
A. F. Algahtani. (2011). Evaluating the Effectiveness of the E-learning Experience in Some Universities in Saudi Arabia from Male Students' Perceptions, Durham theses, Durham University.
J. R. Marc. (2002). Book review: e-learning strategies for delivering knowledge in the digital age. Internet and Higher Education, 5, 185-188.

상세보기
S. Hameed, A. Badii & A. J. Cullen. (2008, May). Effective e-learning integration with traditional learning in a blended learning environment. In European and Mediterranean Conference on Information Systems (pp. 25-26).
J. Smedley. (2010). Modelling the impact of knowledge management using technology. OR insight, 23(4), 233-250.

상세보기
N. Wagner, K. Hassanein & M. Head. (2008). Who is responsible for e-learning success in higher education? A stakeholders' analysis. Journal of Educational Technology & Society, 11(3), 26-36.

상세보기
L. M. Angelino, F. K. Williams & D. Natvig. (2007). Strategies to engage online students and reduce attrition rates. Journal of Educators Online, 4(2), n2.
S. Carr. (2000). As distance education comes of age, the challenge is keeping the students. The Chronicle of Higher Education, 46(23), A39-A41.
L. V. Morris, C. Finnegan & S. S. Wu. (2005). Tracking student behavior, persistence, and achievement in online courses. The Internet and Higher Education, 8(3), 221-231.

상세보기
K. Frankola. (2001). Why online learners drop out. WORKFORCE-COSTA MESA-, 80(10), 52-61.

상세보기
J. Short, E. Williams & B. Christie. (1976). The social psychology of telecommunications. John Wiley & Sons.
C. H. Tu. (2002). The measurement of social presence in an online learning environment. International Journal on E-learning, 1(2), 34-45.
C. H. Tu & M. McIsaac. (2002). The relationship of social presence and interaction in online classes. The American journal of distance education, 16(3), 131-150.

상세보기
C. N. Gunawardena & F. J. Zittle. (1997). Social presence as a predictor of satisfaction within a computer mediated conferencing environment. American Journal of Distance Education, 11(3), 8-26.

상세보기
A. G. Picciano. (2002). Beyond student perceptions: Issues of interaction, presence, and performance in an online course. Journal of Asynchronous learning networks, 6(1), 21-40.
K. Swan & L. F. Shih. (2005). On the nature and development of social presence in online course discussions. Journal of Asynchronous Learning Networks, 9(3), 115-136.
R. D. Johnson, H. Gueutal & C. M. Falbe. (2009). Technology, trainees, metacognitive activity and e learning effectiveness. Journal of Managerial Psychology, 24(6), 545-566.

상세보기
C. Hostetter & M. Busch. (2006). Measuring up online: The relationship between social presence and student learning satisfaction. Journal of the Scholarship of Teaching and Learning, 1-12.
J. C. Richardson & K. Swan. (2003). Examining social presence in online courses in relation to students' perceived learning and satisfaction. Journal of Asynchronous Learning Networks, 7(1), 68-88.
T. Anderson, R. Liam, D. R. Garrison & W. Archer. (2001). Assessing teaching presence in a computer conferencing context. Journal of Asynchronous Learning Networks, 5(2), 1-17.
P. J. Shea, A. M. Pickett & W. E. Pelz. (2003). A follow-up investigation of "teaching presence" in the SUNY Learning Network. Journal of asynchronous learning networks, 7(2), 61-80.
Y. J. Joo, K. Y. Lim & E. K. Kim. (2011). Online university students' satisfaction and persistence: Examining perceived level of presence, usefulness and ease of use as predictors in a structural model. Computers & ducation, 57(2), 1654-1664.
A. Bandura. (1997). Self-efficacy: The exercise of control. New York: Freeman.
A. Bandura. (1986). Social foundations of thought and action: A social cognitive theory. Englewood Cliffs, NJ: Prentice Hall.
S. S. Liaw & H. M. Huang. (2013). Perceived satisfaction, perceived usefulness and interactive learning environments as predictors to self-regulation in e-learning environments. Computers & Education, 60(1), 14-24.

상세보기
D. Shen, M. H. Cho, C. L. Tsai & R. Marra. (2013). Unpacking online learning experiences: Online learning self-efficacy and learning satisfaction. The Internet and Higher Education, 19, 10-17.

상세보기
E. Alqurashi. (2017). Self-efficacy and the interaction model as predictors of student satisfaction and perceived learning in online learning environments. (Doctoral dissertation, Duquesne University).
J. C. Hong, M. Y. Hwang, E. Szeto, C. R. Tsai, Y. C. Kuo & W. Y. Hsu. (2016). Internet cognitive failure relevant to self-efficacy, learning interest, and satisfaction with social media learning. Computers in Human Behavior, 55, 214-222.

상세보기
J. C. Womble. (2007). E-learning: The relationship among learner satisfaction, self-efficacy, and usefulness (pp. 1-132). Alliant International University, San Diego.
Y. M. Lin, G. Y. Lin & J. M. Laffey. (2008). Building a social and motivational framework for understanding satisfaction in online learning. Journal of Educational Computing Research, 38(1), 1-27.

상세보기
S. S. Liaw. (2008). Investigating students' perceived satisfaction, behavioral intention, and effectiveness of e-learning: A case study of the Blackboard system. Computers & Education, 51(2), 864-873.

상세보기
S. B. Eom & N. Ashill. (2016). The determinants of students' perceived learning outcomes and satisfaction in university online education: An update. Decision Sciences Journal of Innovative Education, 14(2), 185-215.

상세보기
Y. Malhotra & D. F. Galletta. (1999). Extending the technology acceptance model to account for social influence: Theoretical bases and empirical validation. In Proceedings of the 32nd Annual Hawaii International Conference on Systems Sciences. 1999. HICSS-32. Abstracts and CD-ROM of Full Papers (pp. 14-pp). IEEE.
H. Gangadharbatla. (2020). What we stand to lose with fully online advertising education. Journal of Advertising Education, 24(1), 74-80.

상세보기

표제어: PCR

동의어: Packet Collision Rate

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