Journal of Korean society of Dental Hygiene (한국치위생학회지)

Korean Society of Dental Hygiene (한국치위생학회)
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Factors related to satisfaction with non-face-to-face classes of health science students due to COVID-19 pandemic

COVID-19으로 인한 보건계열 대학생의 비대면 수업 만족도 관련 요인

  • Yoon, Hae-Soo (Department of Public Health Science, Graduate School of Natural Science, Dankook University) ;
  • Lee, Hyun-Jeong (Department of Dental Hygiene, College of Health Science, Dankook University) ;
  • Moon, Soo-Jin (Department of Dental Hygiene, College of Health Science, Dankook University) ;
  • Lee, Kyeong-Hee (Department of Dental Hygiene, College of Health Science, Dankook University) ;
  • Lim, Je-Hyeok (Department of Dental Hygiene, College of Health Science, Dankook University) ;
  • Jang, Jong-Hwa (Department of Public Health Science, Graduate School of Natural Science, Dankook University)
  • 윤해수 (단국대학교 대학원 보건학과) ;
  • 이현정 (단국대학교 치위생학과) ;
  • 문수진 (단국대학교 치위생학과) ;
  • 이경희 (단국대학교 치위생학과) ;
  • 임제혁 (단국대학교 치위생학과) ;
  • 장종화 (단국대학교 대학원 보건학과)
  • Received : 2021.12.02
  • Accepted : 2021.12.13
  • Published : 2021.12.30
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Abstract

Objectives: To investigate the perceived quality of classes, academic emotions, and learning achievement levels associated with the non-face-to-face classes of health science students, and to analyze the factors related to class satisfaction. Methods: Using a questionnaire, 238 health science students were surveyed regarding the quality of classes, academic emotions, and learning achievement levels. Factors related to calss satisfaction were analyzed using stepwise multiple regression. Results: Lecture types that the students were most satisfied with were 'video lectures using PPT' and 'recorded lectures provided by LMS', while 'real-time video lectures' were scored the lowest (p=0.005). Factors affecting non-face-to-face class satisfaction were perceived achievement (β=0.425, p<0.001), learning content (β=0.265, p<0.001), learning emotion (β=0.171, p<0.001), and learning environment (β=0.137, p=0.012). The adjusted explanatory power for this model was 63.9%. Conclusions: To increase the satisfaction of health science students with non-face-to-face classes, it is necessary to prepare an institutional foundation and to develop an educational program that can increase perceived achievement.

Keywords

References

  1. Jo JS, Bae JI. The effect of COVID-19 on academic satisfaction with online lecture types and contents - perspectives of the domestic and foreign university students-. J Korea Acad-Indus Soc 2021;22(3):643-50. https://doi.org/10.5762/KAIS.2021.22.3.643
  2. Kim BY, Hwang HK. The influence of online classes educational quality and learning emotions on learning outcome - focusing on H technical college students-. J Kor Entertainment Industry Assoc 2020;14(8):467-76. https://doi.org/10.21184/jkeia.2020.12.14.8.467
  3. Kang MH, Kim NY, Kim MJ, Kim JY, .Lim HJ. A structural relationship among teaching presence, learning presence and learning outcomes of e-learning in cyber university. J Korean Assoc Educ Inf Med 2011;17(2):153-76.
  4. Garrison DR. E - learning in the 21st century: a framework for research and practice. 1st ed. London: Routledge; 2003: 92-104.
  5. Son SM, Jo ES, Choi SJ. Changes in major commitment and satisfaction of 1st and 2nd grades university students in health - related departments through the application of un - contact lectures during COVID-19 pandemic. J Appl Sci Technol 2021;38(2):389-98. https://doi.org/10.12925/jkocs.2021.38.2.389
  6. Pekrun R, Goetz T, Titz W, Perry RP. Academic emotions in students' self - regulated learning and achievement: a program of qualitative and quantitative research. Educ Psychol 2002;37(2):91-105. https://doi.org/10.1207/S15326985EP3702_4
  7. Kleine M, Goetz T, Pekrun R, Hall N. The structure of students' emotions experienced during a mathematical achievement test. ZDM 2005;37(3):221-5. https://doi.org/10.1007/s11858-005-0012-6
  8. Meyer DK, Turner JC. Discovering emotion in classroom motivation research. Educ Psychol 2002;37(2):107-14. https://doi.org/10.1207/S15326985EP3702_5
  9. Zembylas M. Adult learners' emotions in online learning. J Dist Educ 2007;29(1):71-87. https://doi.org/10.1080/01587910802004852
  10. Song IS, Choi JH. Exploring the domain issue of academic emotions: a comparison of domain generality, domain specificity and domain complexity. J Learner-Centered Curriculum Instr 2011;11(4):227-43.
  11. Kim EJ. An analysis of the structural relationship among professor - students interaction, class satisfaction, reading and learning outcomes of students. J Educ Res 2014;12(3):1-22.
  12. Ahn JH. A qualitative study on characteristics of 'good' college classes. J Yeolin Educ 2015;22(1):163-91.
  13. Jeong EI. Relations among class disturbing factors perceived by college students and professors, class participation, and class satisfaction. Kor Educ Rev 2012;18(3):73-103.
  14. Lee JY, Lee EJ. Influence analysis of system, information and service qualities on learner satisfaction in university e - learning. Korean J Educ Methodol Stu 2010;41(3):119-47.
  15. Han SW, Kim BY. A study on the response of learners to university online education after corona 19. Culture Conv 2020;42(10):155-72. https://doi.org/10.33645/cnc.2020.10.42.10.155
  16. Lee YH. Explorations for the effective implementation based on the students' satisfaction survey for the online class in the university for the COVID-19 response. JCE 2021;10(1):271-306.
  17. Song SY, Kim HK. Exploring factors influencing college students' satisfaction and persistent intention to take non - face - to - face courses during the COVID-19 pandemic. Asian J Educ 2020;21(4):1099-126. https://doi.org/10.15753/aje.2020.12.21.4.1099
  18. Lee JY, Kim JR. Analysis on structural relationships among learners' perceived usefulness, learner satisfaction and related factors in mobile learning in universities. J Korean Educ 2013;40(1):49-79. https://doi.org/10.22804/jke.2013.40.1.003
  19. Chei MJ, Lee JY. Analysis of structural relationship among instructional quality, academic emotions, perceived achievement and learning satisfaction in offline and online university lectures. J Educ Inf Med 2017;23(3):523-48. https://doi.org/10.15833/KAFEIAM.23.3.523
  20. Do SL, Son SK, Byeon JH, Im JY. Development and construct validation of the Korean achievement emotions questionnaire (K-AEQ). J Educ Policy 2011;25(4):945-70.
  21. You JW, Kim HJ, Park SH. Development and construct validation of e - learning academic emotions scale (e-AES). J Yeolin Educ 2012;20(3):19-44.
  22. Kim SH, Lee IS. The effects of academic emotions on motivation in e - learning. JET 2014;30(4):749-75. https://doi.org/10.17232/KSET.30.4.751
  23. McCroskey JC, Sallinen A, Fayer JM, Richmond VP, Barraclough RA. Nonverbal immediacy and cognitive learning: A cross - cultural investigation. Commun Educ 1996;45:200-11. https://doi.org/10.1080/03634529609379049
  24. Kang MH, Yoon HJ, Kim JS, Kim HS. Investigating the relationship among learning authenticity, learning motivation, and performance in web - based project learning. JET 2008;24(3):23-51. http://doi.org/10.17232/KSET.24.3.23
  25. Son KO. The development of junior college students satisfaction inventory[Doctoral dissertation]. Seoul: Univ. of Seoul National, 2014.
  26. Yu JH, Lee SJ. Development and validation of academic emotion regulation scale. J Educ Policy 2012;26(4):1137-59.
  27. Jun JS, Choi EH. Getting over fear and frustration: emotional experiences of adult learners at a cyber university. J Lifelong Educ 2010;16(2):93-116.
  28. Kleine M, Goetz T, Pekrun R, Hall N. The structure of students' emotions experienced during a mathematical achievement test. ZDM 2005;37(3):221-5. https://doi.org/10.1007/s11858-005-0012-6
  29. Kim NI. A study on the satisfaction of non - face - to - face online class - focused on K university. J Hum Soc Sci 21 2020;11(5):1145-57. http://doi.org/10.22143/HSS21.11.5.83
  30. MedRIC. University and graduate school non - face - to - face class professor student opinion survey due to COVID-19[Internet]. MedRIC. [cited 2021 Oct 15]. Available from: http://www.medric.or.kr/Controls/Sub.aspx?d=06&s=01&g=NOTICE&m=VIEW&i=1592.
  31. Cho EA. Analysis on structural relationship among task value, e - learning quality, approaches to learning, satisfaction and academic achievement in cyber courses[Doctoral dissertation]. Seoul: Univ. of Ewha Womans, 2015.
  32. Lee SC, Kim JA. Factors that affect student satisfaction with online courses. J Educ Adm 2018;36(2):115-38. https://doi.org/10.22553/keas.2018.36.2.115
  33. Lee JO. A comparative case study on the factors of class evaluation in face - to - face and non - face - to - face classes. J Hum Soc Sci 2021;12(1):143-56.
  34. Jung HK. College students' satisfaction with the overall implementation of online classes and testing during the Corona 19 pandemic. Multimedia-Assisted Language Learning 2020;23(3):392-412.