Journal of Industrial Convergence (산업융합연구)

DAEHAN Society of Industrial Management (대한산업경영학회)
권호 표지
DOI QR코드

DOI QR Code

A study on the comparative analysis of learning effects between offline face-to-face classes and asynchronous online classes - Focusing on lecture evaluation and a final exam question in the 'HTML5 Web Programming' course

오프라인 면대면 수업과 비동기식 온라인 수업의 학습효과에 대한 비교분석 연구 - 'HTML5 웹 프로그래밍' 과목의 강의평가 및 기말고사 문항을 중심으로

  • Kwon, Chongsan (Computer Graphic Design, College of Media & Art, Catholic Kwandong University)
  • 권종산 (가톨릭관동대학교 미디어예술대학 CG디자인학과)
  • Received : 2022.04.24
  • Accepted : 2022.07.20
  • Published : 2022.07.28
Download PDF
⟨ Previous Next ⟩

Abstract

This study intends to analyze the learning effect of asynchronous online classes used in education fields around the world after the COVID-19 pandemic. To this end, we compared and analyzed the lecture evaluation and final exam questions of the HTML5 web programming course, which was conducted offline in 2019 and asynchronously online in 2020 due to COVID-19. As a result of the analysis, no significant difference was drawn between the two teaching methods in the lecture evaluation score and final exam score. However, contrary to concerns about the application of online classes to the entire curriculum, the lecture evaluation and final exam scores of the video-based online classes were high, suggesting the possibility that online classes could be more effective than offline classes if well organized and managed in the future.

이 연구에서는 코로나19(COVID-19) 대유행 이후 전 세계 교육현장에서 활용되고 있는 비동기식 온라인 수업의 학습효과에 대해 분석하고자 한다. 이를 위해 2019년에 오프라인 대면으로 진행되고, 2020년에 코로나로 인해 비동기식 온라인으로 진행된 HTML5 웹프로그래밍 과목의 강의평가와 기말고사 문항을 비교 분석하였다. 분석 결과, 두 수업방식 사이에 유의미한 차이가 도출되지는 않았지만, 전체 교과과정의 온라인 수업 적용에 대한 우려와 달리, 동영상 기반 온라인 수업의 강의평가와 기말고사 점수가 높게 나타나 향후 온라인 수업의 구성과 관리가 잘 이루어질 경우 오프라인 수업보다 더 효과적일 수 있다는 가능성을 볼 수 있었다.

Keywords

Acknowledgement

이 연구는 교육부, 과학기술정보통신부가 주관하는 '실험실 특화형 창업선도대학' 사업의 지원을 받아 수행된 것임 (No.startuplab22-001).

References

  1. I. Yoo, S. Lee & R. Choi. (2015). A Veriferification for the Mediated Effectiveness of Organizational Immersion in Relations of self-directedness and Learning Flow from the Adult Learners in korea National Open University. Journal of Public Society, 5(3), 97-127.
  2. G. Park. (2017). Office workers, housewives, retired seniors... Anyone can study. The Chosun Ilbo. Retrieved from: https://www.chosun.com/site/data/html_dir/2017/01/22/2017012201238.html
  3. J. Kim. (2020). Online school starts, lack of preparation"... Concerns about 'remote classes' in front-line schools. YTN news. Retrieved from: https://www.youtube.com/watch?v=MN1Y4eTUrFY
  4. I. Song. (2020). It's embarrassing to call for attendance... Concerns about 'unprepared remote lessons. SBS news. Retrieved from: https://www.youtube.com/watc h?v=DmiNEGEv2z0
  5. Y. Oh. (2020). Distance class attendance rate = successful online school start?...well. Chosun Biz. Retrieved from: https://biz.chosun.com/site/data/html_dir/2020/04/22/2020042202651.html
  6. J. Cho. (2020). Distance classes for 4 million elementary, middle and high schools today... Concerns about unstable online platforms. TBS news. Retrieved from: http://tbs.seoul.kr/news/newsView.do?typ_800=6&idx_800=2391320&seq_800=10385383
  7. M. Kim. (2020). The success or failure of distance learning... "System stability and class concentration". Yonhap News TV. Retrieved from: https://www.youtube.com/watch?v=B-k gN2BvPYII
  8. B. Mun. (2020). In early May, the timing and method of school reopening were announced... Distance classes are stabilizing. Etnews. Retrieved from: https://m.etne ws.com/20200421000322?obj=Tzo4OiJzdGRDbGFzcyI6Mjp7czo3OiJyZWZlcmVyIjtOO3M6NzoiZm9yd2FyZCI7czoxMzoid2ViIHRvIG1vYmlsZSI7fQ%3D%3D
  9. J. Lee. (2020). On the third day of all-online school opening, remote classes 'tension in stability'... "It's a miracle". Yonhap News. Retrieved from: https://www.yna.co.kr/view/AKR20200422143800004
  10. J. Park. (2020). Overcoming the confusion of distance learning and finding stability... Need to build a national 'one platform' [Inside & Insight]. DongA. Retrieved from: https://www.donga.com/news/Opinion/article/all/20200501/100874158/1
  11. Y. Hong, K. Seo, J. Eom, K. Kim, T. Shin, Y. Choi & J. Choi. (2019). Smart E-Learnig System based on Fuzzy Rules. Proceedings of the Fall Conference of the Electronic Engineering Society of 2019, 1182-1183.
  12. S. Lee, H. Chung, H. Jun & M. Lim. (2008y). A Study on Media Players for online based learning. Proceedings of the Korea Institute Of Communication Sciences Conference, 1506-1508.
  13. J. An. (2005). e - Learning Metadata element Development in Multi - platform(PC - to - Mobile - to - DTV) Environment. Proceedings of the Korean Institute of Information Scientists and Engineers Conference, 79-81.
  14. K. Son. (2007). Design and Development of e-Leaming Multimedia Resource Management System for e-Learning Contents. The Journal of Korean Association of Computer Education, 10(4), 73-82. DOI : 10.32431/kace.2007.10.4.007
  15. Y. Lee & Y. Lim (2013). HTML5_-based Mobile Web Capture Video Learning System. Journal of the Korea contents association, 13(2), 8-18. DOI : 10.5392/JKCA.2013.13.02.008
  16. J. Kim, J. Jung, J. Jo & H. Lim. (2019). A Study on the Effectiveness of e-learning video class using the online learning judgement system : Focused on the social studies classes in Elementary school. Journal of the Korea Convergence Society, 10(2), 141-148. DOI : 10.15207/JKCS.2019.10.2.141
  17. M. Hwang, J. Jeung & Y. Lho. (2009, June). An Analysis on the Effects of Lecture-Centered Classes and Classes Using Motion Images on Academic Performance. Proceedings of the Korean Association Of Computer Education Conference, 13(2), 161-166.
  18. J. Kim & J. Park. (2009 June). Implement of Web based Self-Directed Learning for multi-Contents Service in ICT. Proceedings of the Korean Institute of Information Scientists and Engineers Conference, 36(1A), 159-160).
  19. M. Kim. (2020). [The future of education, e-learning] In the MOOC 2.0 era, education evolves. Etnews. Retrieved from: https://www.etnews.com/201509150 00206
  20. D. F. Onah. (2015). Learners expectations and motivations using content analysis in a MOOC. In EdMedia+ Innovate Learning, 192-201. Association for the Advancement of Computing in Education (AACE).
  21. J. Lee & S. Chun. (2019). Using Learning Management Systems for Self-directed Learning of Elementary School Students. Journal of The Korean Association of Information Education, 23(2), 159-167. DOI : 10.14352/jkaie.2019.23.2.159
  22. M. Chung & K. Kim (2005). Developing a model of self-regulated learning at cyber learning system. Journal of Korean Society for the Gifted and Talented 4, 5-23.
  23. I. Kim. (2004). The effect of multimedia classes using ICT on academic achievement and self-directed learning attitudes of middle school students: Focusing on the 'Human and Technology' unit in the first grade of middle school. Master's thesis. Graduate School of Education. Konkuk university.
  24. H. Jeong. (2008). The Implementation of E-Learning System for Web Service based the Self-Regulated Learning. The Journal of Korean Association of Computer Education, 11(2), 79-87. DOI : 10.32431/kace.2008.11.2.008
  25. C. Lim. (2002). The Development and Effects of Design and Implementation Strategies for Supporting Web-based Self-Regulated Learning. Journal of Educational Technology, 18(4), 3-23. https://doi.org/10.17232/KSET.18.4.3
  26. H. Bae. (1992). An Explorative Study on Setting Criteria for Evaluation of Teacher Effectiveness. The Journal of Educational Research, 30(4), 157-172.
  27. M. A. Schrader. (1988). Relationships of Student Ratings of Course, Instructor, and Student Elements to Student Overall Ratings of Instructors of Courses at Lakeshore Technical College. Doctoral dissertation, Ph. D. Dissertation, Lakeshore Technical College.
  28. H. W. Marsh. (1984). Students' evaluations of university teaching: Dimensionality, reliability, validity, potential baises, and utility. Journal of educational psychology, 76(5), 707. DOI : 10.1037/0022-0663.76.5.707
  29. H. W. Marsh. (1987). Students' evaluations of university teaching: Research findings, methodological issues, and directions for future research. International journal of educational research, 11(3), 253-388. DOI : 10.1016/0883-0355(87)90001-2
  30. T. R. Wotruba & P. L. Wright. (1975). How to develop a teacher-rating instrument: A research approach. The Journal of Higher Education, 46(6), 653-663. DOI : 10.1080/00221546.1975.11778667
  31. J. A. Centra. (1973). Effectiveness of student feedback in modifying college instruction. Journal of Educational Psychology, 65(3), 395. DOI : 10.1037/h0035636
  32. W. E. Coffman. (1954). Determining students' concepts of effective teaching from their ratings of instructors. Journal of Educational Psychology, 45(5), 277. DOI : 10.1037/h0058214
  33. R. L. Isaacson, W. J. McKeachie, J. E. Milholland, Y. G. Lin, M. Hofeller & K. L. Zinn. (1964). Dimensions of student evaluations of teaching. Journal of Educational Psychology, 55(6), 344. DOI : 10.1037/h0042551
  34. H. Heo (1999). Development and implementation plan of professor lecture evaluation scale by students. Korean Education Inquiry, (14), 23-45.
  35. S. Lee. (2001). A Study for Instrument Development of Course Evaluation in the University Based Upon the Theory of Instructional Design. Journal of Educational Technology, 17(1), 81-108. DOI : 10.17232/KSET.17.1.81
  36. S. Chae. (2007). A Study on Course Evaluation Contents through a Written Comments Analysis of the Course Evaluation in Medical School. The Journal of Yeolin Education, 5(1), 237-255.
  37. Y. Hong & Y. IM. (2021). The effect of smart learning based class on students with low academic achievement level: focusing on 3D application and AR of smart application. Journal of Digital Convergence, 19(1), 1-10. DOI : 10.14400/JDC.2021.19.1.001
  38. Y. Lee. (2020). A study on the Correlation of between Online Learning Patterns and Learning Effects in the Non-face-to-face Learning Environment. Journal of the Korea Academia-Industrial cooperation Society, 21(8), 557-562. DOI : 10.5762/KAIS.2020.21.8.557
  39. H. Kim, W. Chung & J. Jeong. (1998). National Assessment System Development of Science-Related Affective Domain. Journal of The Korean Association For Science Education, 18(3), 357-369.
  40. J. Lim & K. Lee. (2018). The Effect of Flipped Learning on Science Achievement and Science-Related Affective Characteristics of Middle School Students. Korean Educational Issues Research, 36(1), 93-114. DOI : 10.22327/kei.2018. 36.1.093
  41. S. Chae. (2010). Social Science Research Methodology. Seoul: Bnmbook Inc.
  42. Bhattacherjee, A. (2012). Social science research: principles, methods, and practices.