DOI QR코드

DOI QR Code

K대학의 비 대면 강의만족도에 대한 잠재프로파일 분석

Latent Profile Analysis of K-University's Non-face-to-face Lectures Satisfaction

  • 백승희 (한국기술교육대학교 교육성과인증센터) ;
  • 강승찬 (한국기술교육대학교 전기.전자.통신공학부)
  • Baek, Seung-Hiey (Center for Education Quality Management, KOREATECH) ;
  • Kang, Seung-Chan (Department of Electrical, Electronics and Communication Engineering, KOREATECH)
  • 투고 : 2020.10.15
  • 심사 : 2020.11.13
  • 발행 : 2021.04.30

초록

본 연구는 K대학교 학생들의 비 대면 강의만족도에서 이질적인 관계가 존재하는지 확인하고, 각 잠재계층별 특성을 탐색하는 데 목적이 있다. 이를 위하여 K대학교 학생 658명(남학생 406명(61.7%), 여학생 252명(38.3%))을 대상으로 하였다. 비 대면 강의만족도에서의 잠재계층을 확인한 결과 4개('고만족집단', '중만족집단', '저만족집단', '혼합만족집단')의 이질적인 계층으로 구분되었으며, 4개의 잠재계층의 특성을 알아본 결과 성별, 학년 그리고 온라인수업에서의 평가방법에서 계층별 차이를 확인하였다. 즉, 남녀 학생 모두 '저만족집단'에 가장 많이 분포되어 있었고, 2학년은 '중만족집단'에 그 외 학년은 '저만족집단'에 가장 많았다. 또한, 온라인 강의에 적합한 평가방법으로는 '대면평가'라는 응답이 가장 많았다. 본 연구는 잠재프로파일분석을 활용하여 잠재계층을 분류하고 계층에 따른 특성을 심도 있게 살펴보았다는데 의의가 있다. 마지막으로 후속연구를 위한 표적집단인터뷰나 종단연구 등을 제시하였다.

The purposes of the present study were to estimate the latent classes of non-face-to-face lectures satisfaction and the characteristics of variables on these latent profiles. In order to do this, data from the data 658(406 male students and 252female students) of K-University was used. By using latent profile analysis, four distinct latent classes of student's non-face-to-face lectures satisfaction were found. These classes were named 'high-level satisfaction group', 'intermediate-level satisfaction group', 'low-level satisfaction group' and 'mixed-level satisfaction group'. Second, chi-square analysis indicated that gender, school life satisfaction, grade and evaluation method were significant factors. In other words, both male and female students were most frequently distributed in the 'low-level satisfaction group', and the second grade was the most common in the 'intermediate-level satisfaction group' and the other grades were the most in the 'low-level satisfaction group'. In addition, the most suitable evaluation method for online lectures was 'face-to-face evaluation'. Recommendations focus-group interview and longitudinal study for future research were discussed.

키워드

과제정보

이 논문은 2019학년도 한국기술교육대학교 교수 교육연구진흥과제 지원에 의하여 연구되었음.

참고문헌

  1. D. Garrison, D. T. Anderson, and W. Archer, "Critical inquiry in a text-based environment: computer conferencing in higher education," The Internet and Higher Education, vol. 2. no. 2-3, pp. 87-105, 1999. https://doi.org/10.1016/S1096-7516(00)00016-6
  2. H. J. Lee, S. H. Lim, and S. M. Kang, "Implications for Innovation in Higher Education from Minerva Schools," Journal of Lifelong Learning Society, vol. 15, no. 2, pp. 59-84, 2019. https://doi.org/10.26857/JLLS.2019.5.15.2.59
  3. J. W. Do, "An investigation of design constraints in the process of converting face-to-face course into online course," The Education Culture Research, vol. 26, no. 2, pp. 153-173, 2020.
  4. M. E. Kim, M. J. Kim, Y. I. Oh, and S. Y. Jung, "The effect of online substitution class cuased by coronavirus (COVID-19) on the learning motivation, instructor-learner interaction, and class satisfaction of nursing students," Journal of Learner-Centered Curriculum and Instruction, vol. 20, no. 17, pp. 519-541, 2020.
  5. S. M. Kim, "Analysis of press articles in Korean media on online education related to COVID-19," Journal of Digital Contents Society, vol. 21, no. 6, pp. 1091-1100, 2020. https://doi.org/10.9728/dcs.2020.21.6.1091
  6. E. J. Choi and M. S. Choi, "A meta-analysis on the impact of different e-learning interactions on learning effect," Journal of Educational Technology, vol. 32, no. 1, pp. 1-27, 2016. https://doi.org/10.17232/KSET.32.1.001
  7. B. L. Stewart, C. E. Goodson, S. L. Miertschin, M. L. Norwood, and S. Ezell, "Online student support services: A case based on quality frameworks," Journal of Online Learning and Teaching, vol. 9, no. 2, pp. 290-303, 2013.
  8. A. Sher, "Assessing the relationship of student-instructor and student-student interaction to student learning and satisfaction in Web-based online learning environment," Journal of Interactive Online Learning, vol. 8, no. 2, pp. 102-120, 2009.
  9. A. C. Mclaren, "The effects of instructor-learner interactions on learner satisfaction in online masters courses," Unpublished Ph. D. dissertation, Wayne State University, 2020.
  10. S. H. Lee, "Factors contributing to learners' academic motivation and concentration," The Journal of Humanities and Social Science 21, vol. 11, no. 2, pp. 731-744, 2020. https://doi.org/10.22143/hss21.11.2.50
  11. T. E. Moffitt, "Adolescence-limited and life-course-persistent antisocial behavior: a developmental taxonomy," Psychological Review, vol. 100, no. 4, pp. 674-701, 1993. https://doi.org/10.1037/0033-295X.100.4.674
  12. S. T. Lanza and B. L. Rhoades, "Latent class analysis: an alternative perspective on subgroup analysis in prevention and treatment," Prevention Science, vol. 14, no. 2, pp. 157-168, 2013. https://doi.org/10.1007/s11121-011-0201-1
  13. S. Y. Shin and S. Y. Kwon, "A study on the development and validity verification of a measurement tool for educational satisfaction in university," The journal of Educational Studies, vol. 44, no. 3, pp. 107-132, 2013.
  14. D. U. Bolliger and T. Martindale, "Key factors for determining student satisfaction in online courses," International Journal on E-Learning, vol. 3, no. 1, pp. 61-67, 2004.
  15. K. W. Suh, "The effect of student characteristics on lecture satisfaction in cyber university: The moderating effect of self-efficacy and off-line preference," Journal of Cyber Education, vol. 7, no. 1, pp. 61-67, 2013.
  16. N. H. Kim and D. S. Moon, "A study on learnes' perceptions of a cyber universitt web-based general English program," Linguistic Research, vol. 27, no. 3, pp. 581-598, 2010. https://doi.org/10.17250/khisli.27.3.201012.010
  17. S. J. Kim, "A study on nursing students' satisfaction in blended learning," Journal of the Korea Convergence Society, vol. 10, no. 7, pp. 411-419, 2019. https://doi.org/10.15207/JKCS.2019.10.7.411
  18. E. J. Lee, "A study on college students' perception on convenience in online courses," The Journal of Educational information and Media, vol. 16, no. 3, pp. 341-362, 2010.
  19. J. Welker and L. Berardino, "Blended learning: Understand the middle ground between traditional classroom and online instruction," Journal of Educational Technology Systems, vol. 34, no. 1, pp. 33-55, 2005. https://doi.org/10.2190/67FX-B7P8-PYUX-TDUP
  20. E. Jereb and B. Smitek, "Applying multimedia instruction in e-learning," Innovations in Education and Teaching International, vol. 43, no. 1, pp. 15-27, February, 2007. https://doi.org/10.1080/14703290500467335
  21. S. H. Kang, "The effects of the type of cyber class and self-regulated learning on learning achievement," Korean Association for Educational Information and Broadcasting, vol. 9, no. 4, pp. 209-228, December, 2003.
  22. S. M. Land and M. J. Hannafin, "Student-centered learning environments," In D. H. Jonnasen & S. M. Land(Eds.), Theoretical foundations of learning environments, Mahwah, NJ: Lawrence Erlbaum Associates, pp. 1-23, 2000.
  23. K. Nylund-Gibson and K. E. Masyn, "Covariates and mixture modeling: results of a simulation study exploring the impact of misspecified effects on class enumeration," Structural Equation Modeling: A Multidisciplinary Journal, vol. 23, no. 6, pp. 782-797, 2016. https://doi.org/10.1080/10705511.2016.1221313
  24. D. A. Pastor, K. E. Barron, B. J. Miller, and S. L. Davis, "A latent profile analysis of college students' achievement goal orientation," Contemporary Educational Psychology, vol. 32, no. 1, pp. 8-47, 2007. https://doi.org/10.1016/j.cedpsych.2006.10.003
  25. L. K. Muthen and B. O. Muthen, "Mplus user's guide," 8th ed., Los Angeles, CA: Muthen & Muthen, 1998-2017.
  26. C. Hodges, S. Moore, B. Lockee, T. Trust, and A. Bond, "The difference between emergency remote teaching and online learning," Educause Review, vol. 27, 2020.