원문정보
A Study on the Factors Influencing Student Satisfaction and Perceived Learning in an Online Liberal Arts English Learning Environment
초록
영어
This study investigated the factors that can predict college students’ satisfaction and perceived learning in the online learning environment, namely self-efficacy in online learning, learner-content interaction, learner-instructor interaction, and learner-instructor interaction. The study consisted of 145 students. The survey employed six different measures: (1) OLSE, (2) LCI, (3) LI, (4) LI, (5) Student Satisfaction, and (6) Perceived Learning. The regression results of the model with perceived learning as a dependent variable confirmed that the entire model with three independent interaction variables (LCI, LII, and LLI) predicted statistically significantly perceived learning. According to hierarchical regression using student satisfaction as a dependent variable, a model with OLSE added to the original model of independent variables related to the three interactions was significant. A hierarchical regression with perceived learning as a dependent variable revealed that a model added OLSE to the original model of the three interaction-related independent variables was significant. The results of this study demonstrated that OLSE, LII, and LLI in online classes are important factors in student satisfaction and perceived learning.
목차
II. 이론적 배경
1. 자기효능감
2. 상호작용
III. 연구방법
1. 연구대상
2. 자료 수집 방법 및 절차
3. 연구자료 및 도구
4. 분석방법
IV. 연구결과
1. 상호작용 변수가 학생 만족도 및 지각된 학습에 미치는 영향
2. OLSE가 학생 만족도 및 지각된 학습에 미치는 영향
V. 논의 및 결론
Works Cited
Abstract
키워드
저자정보
참고문헌
- 1배상훈 · 조은원. (2021). 코로나 19와 전면적인 온라인 학습이 대학생의협력학습 및 교수와의 상호작용에 미친 영향. 교육문제연구, 34(2), 173-197.
- 2이희승. (2021). 온라인 학습 환경에서 교수자의 라포(rapport) 형성, 자기효능감, 수업 만족도 사이의 영향 관계 고찰. 음악교수법연구, 22(2), 99-120.
- 3Abrami, P. C., Bernard, R. M., Bures, E. M., Borokhovski, E., & Tamim, R. M. (2011). Interaction in distance education and online learning: Using evidence and theory to improve practice. Journal of Computing in Higher Education, 23(2-3), 82-103. doi:10.1007/s12528-011-9043-x
- 4Alavi, M., Marakas, G. M., & Youngjin, Y. (2002). A comparative study of distributed learning environments on learning outcomes. Information Systems Research, 13, 404-415. doi:10.1287/isre.13.4.404.72
- 5Ali, A., & Ahmad, I. (2011). Key factors for determining students’satisfaction in distance learning courses: A study of Allama Iqbal Open University. Contemporary Educational Technology, 2, 118-134. Retrieved on September 12, 2011from http://www.cedtech.net
- 6Allen, E., & Seaman, J. (2017). Digital learning compass: Distance education enrollment report 2017. Retrieved on October 22, 2021 from https://onlinelearningsurvey.com/reports/digtiallearningcompassenrollment2017.pdf
- 7Alqurashi, E. (2016). Self-efficacy in online learning environments: A literature review. Contemporary Issues in Education Research, 9(1), 45-52. doi:10.19030/cier.v9i1.9549
- 8Artino, A. R. (2007a). Motivational beliefs and perceptions of instructional quality: Predicting satisfaction with online training. Journal of Computer Assisted Learning, 24(3), 260-270. doi:10.1111/j.1365-2729.2007.00258.x
- 9Artino, A. R. (2007b). Online military training: Using a social cognitive view of motivation and selfregulation to understand students’satisfaction, perceived learning, and choice. Quarterly Review of Distance Education, 8(3), 191-202. Retrieved from https://www.infoagepub.com/quarterlyreview-of-distance-educ ation.html
- 10Bernard, R. M., Abrami, P. C., Borokhovski, E., Wade, C. A., Tamim, R. M., & Surkes, M. A. (2009). A meta-analysis of three interaction treatments in distance education. Review of Educational Research, 79, 1243-1289. doi:10.3102/0034654309333844