COVID-19 and Online Learning: A Student Perception Survey

Vashisth Manoj Kumar¹, Zhang Limei¹, Tian Xianzhang² and Zhang Bensi^1,

¹Department of Human Anatomy, Dali University, Dali, Yunnan, China

²Students Affairs Office, School of Basic Medicine, Dali University, Dali, Yunnan, China

Cite this paper:
Vashisth Manoj Kumar, Zhang Limei, Tian Xianzhang and Zhang Bensi. COVID-19 and Online Learning: A Student Perception Survey. American Journal of Educational Research. 2021; 9(5):272-277. doi: 10.12691/education-9-5-4

Abstract

The COVID-19 pandemic only provided a short window of time to prepare and maintain the learning environment. In multiple countries, governments instructed various education facilities to halt their routines, and switch from traditional education of classroom teaching to online teaching. The present study aimed to determine the effectiveness of this switch to online teaching and learning in a university in China. A survey was conducted among 269 international clinical medicine students at the School of Basic Medicine, Dali University to analyze the effectiveness of online learning during the spread of COVID-19 using seven variables of investigation (1) is responsive to individual learning requirements, (2) efficient communication as in real class, (3) enhance the participant’s communication skills with instructor and other students, (4) fosters the participant’s involvement and interaction, (5) instructor’s effectively handled the class time and pace, (6) organization and preparation of the class, and (7) the course delivery according to the outlined syllabus . A statistically significant difference was observed for all seven variables of investigation. The value of χ² were significant (0.021, 0.005, 0.000, 0.000, 0.000, 0.005 and 0.02 respectively) at P≤0.05. However, for preference of online class in place of traditional classroom teaching, the result showed an insignificant value for χ² of 0.140 at P≤0.05. Online learning is equally effective, and probably more effective in the current pandemic situation, when compared to traditional in class learning.

Keywords:
internet online teaching E-Learning classroom teaching

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References:

[1]	Daniel, S.J. (2020). Education and the COVID-19 pandemic. Prospects.
[2]	Mayadas, A. Frank; Bourne, John; Bacsich, Paul. (2009). Online Education Today [J]. Journal of Asynchronous Learning Networks, 13(2): 49-56.
[3]	Nazan Dogruer, Ramadan Eyyam, Ipek Menevis. (2011). The use of the internet for educational purposes [J]. Procedia-Social and Behavioral Sciences, 28: 606-611.
[4]	Jorge G. Ruiz, Michael J. Mintzer, Rosanne M. Leipzig. (2006). The Impact of E-Learning in Medical Education [J]. Academic Medicine, 81(3): 207-212.
[5]	Dongsong Zhang, Lina Zhou, Robert O.Briggs, Jay F. Nunamaker Jr. (2005). Instructional video in e-learning: Assessing the impact of interactive video on learning effectiveness [J]. Information and Management, 43: 15-27.
[6]	Pradeep Paul George, Nikos Papachristou, Josě Marcano Belisario, Wei Wang, Petra A Wark, Ziva Cotic, Kristine Rasmussen, Reně Sluiter, Eva Riboli-Sasco, Lorainne Tudor Car, Eve Marie Musulanov, Joseph Antonio Molina, Bee Hoon Heng, Yanfeng Zhang, Erica Lynette Wheeler, Najeeb Al Shorbaji, Azeem Majeed, Josip Car. (2014). Online elearning for undergraduates in health professions: A systematic review of the impact on knowledge, skills, attitudes and satisfaction [J]. Journal of Global Health, 4(1): 1-17.
[7]	Albert Sangrà, Dimitrios Vlachopoulos, Nati Cabrera. (2012). Building and inclusive definition of e-learning: An approach to the conceptual framework [J]. International Review of Research in Open and Distance Learning, 13(2): 145-159.
[8]	Ken Masters, Rachel Ellaway. (2008). E-learning in medical education Guide 32 Part 2: Technology, management and design [J]. Med Teach, 30(5): 474-89.
[9]	Jingting Wang, Yuanyuan Wang, Chunlan Wei, Nengliang Aaron Yao, Avery Yuan, Yuying Shan, Changrong Yuan. (2014). Smartphone interventions for long-term health management of chronic diseases: An integrative review [J]. Telemed J E Health, 20(6): 570-583.
[10]	Dimiter V Dimitrov. (2016). Medical internet of things and big data in healthcare [J]. Healthcare Informatics research, 22(3): 156-163.
[11]	Diamond, R. (2016). There’s an app for that: Benefits and risks of using mobile apps for healthcare. Mich Med 115, 26-27.
[12]	Picciano, A. G. (2002). Beyond student perceptions: Issues of interaction, presence, and performance in an online course [J]. Journal of Asynchronous learning networks, 6(1): 21-40.
[13]	Moore, A., Masterson, J.T., Christophel, D. M. and Shea, K. A. (1996). College teacher immediacy and student ratings of instruction [J]. Communication Education, 45 (1): 29-39.
[14]	Alonoso, F., Manrique, D. and Vines, J. M. (2009). A moderate constructivist e-learning instructional model evaluated on computer speacilaist. Computer & education, 53(1): 57-65.
[15]	Barbara Slater Stern. (2004). A comparison of online and face-to-face instruction in an undergraduate foundations of American education course [J]. Contemporary Issues in Technology and Teacher Education, 4(2): 196-213.
[16]	Lydie D. Paderanga. (2014). Classroom video conferencing: its contribution to peace education [J]. Procedia-Social and Behavioral Sciences, 123:113-121.
[17]	Zijuan Shi, Gaofeng Luo. (2016). Application of WeChat teaching platform in interactive translation teaching [J]. International Journal of Emerging Technologies in Learning, 11(09): 71-75.
[18]	Kristine Peters. (2007). M-learning: Positioning educators for a mobile, connected future [J]. International Review of research in open and distance learning, 8(2): 29-35.
[19]	Kirtman, L. (2009). Online versus in-class courses: An examination of differences in learning outcomes [J]. Issues in Teacher Education, 18(2): 103-116.