Medical and Health Students’ Acceptance and Perceptions of E-learning During the COVID-19 Lockdowns in the Kingdom of Saudi Arabia
Technology Acceptance Model
Keywords:
Acceptance level, e- Learning, Medical Students, Online Learning, TAMAbstract
Many educational institutions around the globe utilise E-Learning, which can provide multiple benefits for learners and teachers. Students have no geographical boundaries to prevent them from learning and receiving many other benefits based on their situation and needs. In this study, we aim to investigate the acceptance and perceptions of e-learning among medical and health students in Saudi Arabia during the COVID-19 lockdown. 99% of the respondents own technologies to access e-learning. We examined the students' learning types of preferences, and our analysis shows that around 45% preferred e-learning, 32% blended learning, and 23% chose traditional education. 29.3% disagreed, and 22% strongly disagreed that e-learning was easy to use. 32.6% agreed that e-learning was fixable, while 19.5% disagreed. We found that 16% disagreed that e-learning increases the efficiency and effectiveness of their learning, whereas 40% agreed. The researchers assessed respondents' preference for learning methods, and we reported that blended learning was preferable to traditional and e-learning. The current paper confirms the validity of the TAM model in measuring e-learning acceptance and use. We found that Medical and health students have a high favour of using e-learning. However, some issues exist in terms of its easiness.
Downloads
References
K. Walsh, Oxford textbook of medical education. Oxford University Press, 2013. DOI: https://doi.org/10.1093/med/9780199652679.001.0001
B. Holmes and J. Gardner, E-learning: Concepts and practice. Sage, 2006. DOI: https://doi.org/10.4135/9781446212585
E. Warnecke and S. Pearson, “Medical students’ perceptions of using e-learning to enhance the acquisition of consulting skills,” Australas. Med. J., vol. 4, no. 6, p. 300, 2011. DOI: https://doi.org/10.4066/AMJ.2011.73
H. Esmaeeli, S. Rahmani, A. Kazemi, and M. Ali Ahmadi, “Evaluation of E-Learning of the virtual learning program from the student’s point of view,” Public Manag. Res., vol. 9, no. 34, pp. 203–222, 2016.
L. Yekefallah, P. Namdar, R. Panahi, and L. Dehghankar, “Factors related to students’ satisfaction with holding e-learning during the Covid-19 pandemic based on the dimensions of e-learning,” Heliyon, vol. 7, no. 7, p. e07628, 2021. DOI: https://doi.org/10.1016/j.heliyon.2021.e07628
V. Gherheș, C. E. Stoian, M. A. Fărcașiu, and M. Stanici, “E-learning vs face-to-face learning: Analyzing students’ preferences and behaviors,” Sustainability, vol. 13, no. 8, p. 4381, 2021. DOI: https://doi.org/10.3390/su13084381
J. Potomkova, V. Mihal, and C. Cihalik, “Web-based instruction and its impact on the learning activity of medical students: a review,” Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub, vol. 150, no. 2, pp. 357–61, 2006. DOI: https://doi.org/10.5507/bp.2006.055
S. Barteit, D. Guzek, A. Jahn, T. Bärnighausen, M. M. Jorge, and F. Neuhann, “Evaluation of e-learning for medical education in low-and middle-income countries: A systematic review,” Comput. Educ., vol. 145, p. 103726, 2020. DOI: https://doi.org/10.1016/j.compedu.2019.103726
S. Childs, E. Blenkinsopp, A. Hall, and G. Walton, “Effective e-learning for health professionals and students—barriers and their solutions. A systematic review of the literature—findings from the HeXL project,” Health Inf. Libr. J., vol. 22, pp. 20–32, 2005. DOI: https://doi.org/10.1111/j.1470-3327.2005.00614.x
F. Colace, M. De Santo, and A. Pietrosanto, “Evaluation models for e-learning platform: an AHP approach,” in Proceedings. Frontiers in Education. 36th Annual Conference, IEEE, 2006, pp. 1–6. DOI: https://doi.org/10.1109/FIE.2006.322312
N. A. Oye, N. Iahad, M. J. Madar, and N. Rahim, “The impact of e-learning on students’ performance in tertiary institutions,” Int. J. Comput. Netw. Wirel. Commun., vol. 2, no. 2, pp. 121–130, 2012.
Q. N. Naveed, A. Muhammad, S. Sanober, M. R. N. Qureshi, and A. Shah, “A mixed method study for investigating critical success factors (CSFs) of e-learning in Saudi Arabian universities,” methods, vol. 8, no. 5, pp. 171–178, 2017. DOI: https://doi.org/10.14569/IJACSA.2017.080522
E. Beaunoyer, S. Dupéré, and M. J. Guitton, “COVID-19 and digital inequalities: Reciprocal impacts and mitigation strategies,” Comput. Hum. Behav., vol. 111, p. 106424, 2020. DOI: https://doi.org/10.1016/j.chb.2020.106424
A. Poortavakoli, M. Alinejad, and B. Daneshmand, “Designing a pattern for e-content development based on the factors affecting satisfaction in e-learning,” Technol. Educ. J. TEJ, vol. 15, no. 1, pp. 119–138, 2020.
M. Tagoe, “Students’ perceptions on incorporating e-learning into teaching and learning at the University of Ghana,” Int. J. Educ. Dev. Using ICT, vol. 8, no. 1, pp. 91–103, 2012.
F. M. Alsaaty, E. Carter, D. Abrahams, and F. Alshameri, “Traditional versus online learning in institutions of higher education: Minority business students’ perceptions,” Bus. Manag. Res., vol. 5, no. 2, pp. 31–41, 2016. DOI: https://doi.org/10.5430/bmr.v5n2p31
A. Tratnik, M. Urh, and E. Jereb, “Student satisfaction with an online and a face-to-face Business English course in a higher education context,” Innov. Educ. Teach. Int., vol. 56, no. 1, pp. 36–45, 2019. DOI: https://doi.org/10.1080/14703297.2017.1374875
N. T. Butz, R. H. Stupnisky, and R. Pekrun, “Students’ emotions for achievement and technology use in synchronous hybrid graduate programmes: A control-value approach,” Res. Learn. Technol., vol. 23, 2015. DOI: https://doi.org/10.3402/rlt.v23.26097
B. S. Stern, “A comparison of online and face-to-face instruction in an undergraduate foundations of American education course,” Contemp. Issues Technol. Teach. Educ., vol. 4, no. 2, pp. 196–213, 2004.
F. D. Davis, “Perceived usefulness, perceived ease of use, and user acceptance of information technology,” MIS Q., pp. 319–340, 1989. DOI: https://doi.org/10.2307/249008
A. A. Alhur, “The Effectiveness of E-learning in Saudi Arabia During the Spread of COVID-19,” Int. J. Adv. Res. Educ. Soc., vol. 3, no. 4, pp. 156–165, 2021.
A. Alhur, “Exploring Saudi Arabia Individuals’ Attitudes toward Electronic Personal Health Records,” J. Comput. Sci. Technol. Stud., vol. 4, no. 1, pp. 80–87, 2022. DOI: https://doi.org/10.32996/jcsts.2022.4.1.10
A. Alhur, “An Investigation of Nurses’ Perceptions of the Usefulness and Easiness of Using Electronic Medical Records in Saudi Arabia: A Technology Acceptance Model: Technology Acceptance Model,” Indones. J. Inf. Syst., vol. 5, no. 2, pp. 30–42, 2023. DOI: https://doi.org/10.24002/ijis.v5i2.6833
A. Alhur and A. A. Alhur, “The Acceptance of Digital Health: What about Telepsychology and Telepsychiatry?,” J. Sist. Inf., vol. 18, no. 2, pp. 18–35, 2022.
A. Alhur, “An Exploration of Nurses’ Perceptions of the Usefulness and Easiness of Using EMRs,” J. Public Health Sci., vol. 2, no. 01, pp. 20–31, 2023.
A. Alhur, “An Exploration of Nurses’ Perceptions of the Usefulness and Easiness of Using EMRs,” J. Public Health Sci., vol. 2, no. 01, pp. 20–31, 2023. DOI: https://doi.org/10.56741/jphs.v2i01.263
A. A. Alhur, “The effectiveness of e-learning in Saudi Arabia during the spread of COVID-19,” Int. J. Adv. Res. Educ. Soc., vol. 3, no. 4, pp. 156–165, 2021.
A. Alhur and A. A. Alhur, “The Acceptance of Digital Health: What about Telepsychology and Telepsychiatry?,” J. Sist. Inf., vol. 18, no. 2, pp. 18–35, 2022. DOI: https://doi.org/10.21609/jsi.v18i2.1143
S. Y. Park, “An analysis of the technology acceptance model in understanding university students’ behavioral intention to use e-learning,” J. Educ. Technol. Soc., vol. 12, no. 3, pp. 150–162, 2009.
A. Choi, M. Karamollahi, C. Williamson, and M. Arlitt, “Zoom session quality: A network-level view,” in Passive and Active Measurement: 23rd International Conference, PAM 2022, Virtual Event, March 28–30, 2022, Proceedings, Springer, 2022, pp. 555–572. DOI: https://doi.org/10.1007/978-3-030-98785-5_25
B. Kolodziejczak and M. Roszak, “ICT competencies for academic E-learning. Preparing students for distance education-authors’ proposal,” Int. J. Inf. Commun. Technol. Educ., vol. 6, no. 3, pp. 14–25, 2017. DOI: https://doi.org/10.1515/ijicte-2017-0012
R. G. Saadé and D. Kira, “Computer anxiety in e-learning: The effect of computer self-efficacy,” J. Inf. Technol. Educ. Res., vol. 8, no. 1, pp. 177–191, 2009. DOI: https://doi.org/10.28945/166
D. Keržič, N. Tomaževič, A. Aristovnik, and L. Umek, “Exploring critical factors of the perceived usefulness of blended learning for higher education students,” PloS One, vol. 14, no. 11, p. e0223767, 2019. DOI: https://doi.org/10.1371/journal.pone.0223767
J. B. Arbaugh, “Virtual classroom characteristics and student satisfaction with internet-based MBA courses,” J. Manag. Educ., vol. 24, no. 1, pp. 32–54, 2000. DOI: https://doi.org/10.1177/105256290002400104
N. K. Ibrahim et al., “Medical students’ acceptance and perceptions of e-learning during the Covid-19 closure time in King Abdulaziz University, Jeddah,” J. Infect. Public Health, vol. 14, no. 1, pp. 17–23, 2021. DOI: https://doi.org/10.1016/j.jiph.2020.11.007
Published
How to Cite
Issue
Section
Copyright (c) 2023 Anas Alhur, Arwa Alhur, Afrah Alhur

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.









