Volume 11, Issue 2 (7-2023)                   J Surg Trauma 2023, 11(2): 66-74 | Back to browse issues page

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Soltani Arabshahi K, Esmaelzadeh Saeieh S, Kohan M. Predictor role of fear of COVID-19, e-learning readiness and motivational beliefs on student's satisfaction of virtual education in surgical and trauma wards during the COVID-19 pandemic. J Surg Trauma 2023; 11 (2) :66-74
URL: http://jsurgery.bums.ac.ir/article-1-354-en.html
Predictor role of fear of COVID-19, e-learning readiness and motivational beliefs on student's satisfaction of virtual education in surgical and trauma wards during the COVID-19 pandemic
Kamran Soltani Arabshahi , Sara Esmaelzadeh Saeieh , Mahmoud Kohan *
Ph.D Candidate in Medical Education, Lecturer, Department of Operating Room, School of Allied Medical Sciences, Alborz University of Medical Sciences, Karaj, Iran
Abstract:   (719 Views)
  • Introduction: The prevalence of COVID-19 in the world and the long closure of universities necessitate attention to virtual education, e-learning readiness, and student satisfaction.
  • Methods: The present study is a descriptive-analytical study of structural equations that was performed on 216 students studying at Alborz University of Medical Sciences during the COVID-19 pandemic. The multi-stage sampling method was determined in the first stage of the schools and the second stage sampling was done randomly. Data were collected by electronic questionnaires of fear of COVID-19, e-learning readiness, motivational belief, and student satisfaction. Data were analyzed by using SPSS and LISREL 8.8 software. Statistical significance was (P-value< 0.05).
  • Results: The results of the study showed fear of COVID-19 had a significant and positive effect on student satisfaction (β = 0.22, P=0.001). Motivational belief also had a significant and positive effect on e-learning readiness (β = 0.76, P=0.001) and also, and e-learning readiness had a significant and positive effect on student satisfaction (β = 0.51, P=0.001).
  • Conclusion: Despite the student’s dissatisfaction with the virtual education system, the fear of COVID-19 increases their satisfaction with virtual education, so providing the necessary protocol for virtual education in times of crisis and natural disasters increases students' satisfaction with virtual education.
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Keywords: Fear, E-learning Readiness, Motivational Beliefs, Satisfaction, Virtual Education
Full-Text [PDF 696 kb]   (366 Downloads)    
Type of Study: Research | Subject: Educational
Received: 2022/10/22 | Accepted: 2023/06/14 | ePublished ahead of print: 2023/06/23 | Published: 2023/08/18 | ePublished: 2023/08/18
References
1. Choi EPH, Hui BPH, Wan EYFJIjoer, health p. Depression and anxiety in Hong Kong during COVID-19. 2020;17(10):3740. [DOI:10.3390/ijerph17103740] [PMID] []
2. Daniel JJP. Education and the COVID-19 pandemic. Prospects. 2020;49(1):91-96. [DOI:10.1007/s11125-020-09464-3] [PMID] []
3. Calhoun KE, Yale LA, Whipple ME, Allen SM, Wood DE, Tatum RPJTAJoS. The impact of COVID-19 on medical student surgical education: implementing extreme pandemic response measures in a widely distributed surgical clerkship experience. 2020;220(1):44-47. [DOI:10.1016/j.amjsurg.2020.04.024] [PMID] []
4. Hellewell J, Abbott S, Gimma A, Bosse NI, Jarvis CI, Russell TW, et al. Feasibility of controlling COVID-19 outbreaks by isolation of cases and contacts. 2020;8(4):488-496. [DOI:10.1016/S2214-109X(20)30074-7] [PMID]
5. Salimi S, Fardin MAJRiS. The role of corona virus in virtual education, with an emphasis on opportunities and challenges. Learning V. 2020
6. 8(2):49-60. (Persian)6. Upadhyaya GK, Jain VK, Iyengar KP, Patralekh MK, Vaish A. Impact of COVID-19 on post-graduate orthopaedic training in Delhi-NCR. J Clin Orthop Trauma. 2020;11(5):687-695. [DOI:10.1016/j.jcot.2020.07.018] [PMID]
7. Moldovan, F.; Gligor, A. Moldovan, L.; Bataga, T. The Impact of the COVID-19 Pandemic on the Orthopedic Residents: A PanRomanian Survey. Int J Environ. Res. Public Health 2022;(19):9176. [DOI:10.3390/ijerph19159176] [PMID] []
8. Mayadas AF, Bourne J, Bacsich P. Online education today. Science. 2009;323(5910):85-89. [DOI:10.1126/science.1168874] [PMID]
9. Seraji F, Attaran M, Azizi SM. Blended learning researches in Iran: several fundamental criticisms. Digital Education Review. 2019(36):190-206. [DOI:10.1344/der.2019.36.190-206]
10. Nichols M. Student perceptions of support services and the influence of targeted interventions on retention in distance education. Distance education. 2010;31(1):93-113. [DOI:10.1080/01587911003725048]
11. Porasghar N, Kiamanesh A, Sarmadi M. The prediction model of academic performance of students of distance education based on individual variables self-regulation strategies and motivational beliefs. Research in School and Virtual Learning. 1970;4(14):7-22.
12. Murphy MP. COVID-19 and emergency eLearning: Consequences of the securitization of higher education for post-pandemic pedagogy. Contemp Secur Policy. 2020;41(3):492-505. [DOI:10.1080/13523260.2020.1761749]
13. Munro BH. Statistical methods for health care research: lippincott williams & wilkins; 2005.
14. Watkins R, Leigh D, Triner D. Assessing readiness for e-learning. Performance Improvement Quarterly. 2004;17(4):66-79. [DOI:10.1111/j.1937-8327.2004.tb00321.x]
15. Pintrich PR. A manual for the use of the Motivated Strategies for Learning Questionnaire (MSLQ). 1991. [DOI:10.1037/t09161-000]
16. Ahorsu DK, Lin C-Y, Imani V, Saffari M, Griffiths MD, Pakpour AHJIjomh, et al. The fear of COVID-19 scale: development and initial validation. Int J Ment Health Addict. 2020:1-9 [DOI:10.1037/t78404-000]
17. Sanghavi PB, Au Yeung K, Sosa CE, Veesenmeyer AF, Limon JA, Vijayan VJJome, et al. Effect of the coronavirus disease 2019 (COVID-19) pandemic on pediatric resident well-being. J Med Educ Curric Dev. 2020;(7):1-5. [DOI:10.1177/2382120520947062] [PMID] []
18. Aydın CH, Tasci DJJoET, Society. Measuring readiness for e-learning: Reflections from an emerging country. J Educ Techno Soc. 2005;8(4):244-257.
19. Siron Y, Wibowo A, Narmaditya BSJJJoT,Education S. Factors affecting the adoption of e-learning in Indonesia: Lesson from Covid-19. JOTSE. 2020; 10(2):282-295. [DOI:10.3926/jotse.1025]
20. Fairchild AJ, Horst SJ, Finney SJ, Barron KE. Evaluating existing and new validity evidence for the Academic Motivation Scale. Contemp Educ Psychol. 2005;30 (3):331-58. [DOI:10.1016/j.cedpsych.2004.11.001]
21. Ali A, Bhasin J. A Model of Information System Interventions for e-Learning: An Empirical Analysis of Information System Interventions in e-Learner Perceived Satisfaction. Springer;2020;597:909-920. [DOI:10.1007/978-3-030-29407-6_66]
22. Cassady JC. The influence of cognitive test anxiety across the learning-testing cycle. Learning and instruction. 2004;14(6):569-592. [DOI:10.1016/j.learninstruc.2004.09.002]
23. Chapell MS, Blanding ZB, Silverstein ME, Takahashi M, Newman B, Gubi A, et al. Test anxiety and academic performance in undergraduate and graduate students. J Educ Psychol.2005;97(2):268-274. [DOI:10.1037/0022-0663.97.2.268]
24. Fawaz M, Samaha A, Editors. E‐learning: Depression, anxiety, and stress symptomatology among Lebanese university students during COVID‐19 quarantine. Nursing ForumWiley Online Library; 2021. [DOI:10.1111/nuf.12521] [PMID]
25. Hasan N, Bao YJC, Review YS. Impact of "e-Learning crack-up" perception on psychological distress among college students during COVID-19 pandemic: A mediating role of "fear of academic year loss". 2020;(118). [DOI:10.1016/j.childyouth.2020.105355] [PMID] []
26. Sarwar H, Akhtar H, Naeem MM, Khan JA, Waraich K, Shabbir S, et al. Self-reported effectiveness of e-Learning classes during COVID-19 pandemic: A nation-wide survey of Pakistani undergraduate dentistry students. Eur J Dent. 2020; 14(1):34-43. [DOI:10.1055/s-0040-1717000] [PMID] []
27. Vahedi MJESiMS. The Effect of E-Learning Readiness on Self-Regulated Learning Strategies and Students' Behavioral Tendency to Web-based Learning: The Mediating Role of Motivational Beliefs. Educ Strategy Med Sci. 2020;13(2):133-142. (Persin)
28. Demir Kaymak Z, Horzum MB. Relationship between online learning readiness and structure and interaction of online learning students. Educational Sciences: Theory and Practice. 2013;13(3):1792-1797.
29. Yilmaz RJCiHB. Exploring the role of e-learning readiness on student satisfaction and motivation in flipped classroom. Comput Human Behav. 2017;(70):251-260. [DOI:10.1016/j.chb.2016.12.085]
30. Shahzad A, Hassan R, Aremu AY, Hussain A, Lodhi RNJQ, quantity. Effects of COVID-19 in E-learning on higher education institution students: the group comparison between male and female. Qual Quant. 2020:805-826. [DOI:10.1007/s11135-020-01028-z] [PMID] []
31. Baber HJTIJoME. Modelling the acceptance of e-learning during the pandemic of COVID-19-A study of South Korea. 2021;19(2):100503. [DOI:10.1016/j.ijme.2021.100503] []
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