| Literature DB >> 35903321 |
Mohammed Samannodi1, Adeeb Bulkhi1, Hassan Alwafi2, Rahaf Bukhari2, Emad Salawati3, Bayan Hafiz2, Faisal Minshawi4, Maryam Dahlawi2, Sara Kamfar5, Hanan Halawani6, Abdallah Y Naser7, Roaa Mandora2, Mohamad Alshekh Ali8, Mohammed A Almatrafi9.
Abstract
Background: As the Coronavirus Disease 2019 (COVID-19) outbreak has made a tremendous impact on medical education and healthcare institutions, we aimed to measure effects of online classes on medical students' comprehension in comparison with attending campus classes during the COVID-19 pandemic.Entities:
Keywords: COVID-19; e-learning; learning; online; students
Year: 2022 PMID: 35903321 PMCID: PMC9314450 DOI: 10.2147/AMEP.S369213
Source DB: PubMed Journal: Adv Med Educ Pract ISSN: 1179-7258
Demographic Data of the Study Participants
| Variables | Frequency | Percent |
| Male | 229 | 24.8 |
| Female | 693 | 75.2 |
| Total | 922 | 100.0 |
| Frequency | Percent | |
| 17 | 1 | 0.1 |
| 18 | 1 | 0.1 |
| 19 | 11 | 1.2 |
| 20 | 40 | 4.3 |
| 21 | 187 | 20.3 |
| 22 | 274 | 29.7 |
| 23 | 219 | 23.8 |
| 24 | 138 | 15.0 |
| 25 | 38 | 4.1 |
| 26 | 3 | 0.3 |
| 27 | 3 | 0.3 |
| 29 | 1 | 0.1 |
| 30 | 2 | 0.2 |
| 35 | 2 | 0.2 |
| 62 | 2 | 0.2 |
| Total | 922 | 100.0 |
| Frequency | Percent | |
| Single | 853 | 92.5 |
| Married | 69 | 7.5 |
| Total | 922 | 100.0 |
| Frequency | Percent | |
| Al qatif | 1 | 0.1 |
| Al-Madinah al-Munawwarah | 243 | 26.4 |
| Alqunfudah | 3 | 0.3 |
| Hail | 2 | 0.2 |
| Jeddah | 344 | 37.3 |
| Makkah Al-mukarramah | 286 | 31.0 |
| Riyadh | 2 | 0.2 |
| Sharqiya | 1 | 0.1 |
| Taif | 40 | 4.3 |
| Total | 922 | 100.0 |
| Frequency | Percent | |
| Al Rayan Medical College | 109 | 11.8 |
| Batterjee Medical College | 64 | 6.9 |
| Fakeeh College of Medical Sciences | 18 | 2.0 |
| Ibn Sina National College for Medical Studies | 52 | 5.6 |
| King Abdulaziz University | College of Medicine | 186 | 20.2 |
| King Saud bin Abdulaziz University for Health Science | College of Medicine | 34 | 3.7 |
| The University of Prince Mugrin | College of Medicine | 4 | 0.4 |
| 112 | 12.1 | |
| 62 | 6.7 | |
| Top college | 1 | 0.1 |
| Umm Al-Qura University | College of Medicine | 232 | 25.2 |
| University of Hail | 1 | 0.1 |
| The University of Jeddah | College of Medicine | 47 | 5.1 |
| Total | 922 | 100.0 |
| Frequency | Percent | |
| Finished 3rd year | 161 | 17.5 |
| Finished 4th year | 325 | 35.2 |
| Finished 5th year | 310 | 33.6 |
| Finished 6th year | 93 | 10.1 |
| Other | 33 | 3.6 |
| Total | 922 | 100.0 |
Students’ Experience About e-Learning
| Frequency | Percent | |
| No | 554 | 60.1 |
| Yes | 368 | 39.9 |
| Total | 922 | 100.0 |
| Frequency | Percent | |
| During the 1st week of lockdown | 454 | 49.2 |
| During the 2nd week of lockdown | 316 | 34.3 |
| After that | 152 | 16.5 |
| Total | 922 | 100.0 |
| Frequency | Percent | |
| 1 | 19 | 2.1 |
| 2 | 36 | 3.9 |
| 3 | 58 | 6.3 |
| 4 | 82 | 8.9 |
| 5 | 727 | 78.9 |
| Total | 922 | 100.0 |
| Frequency | Percent | |
| Live Classes (synchronous) | 279 | 30.3 |
| Recorded Classes (asynchronous) | 55 | 6.0 |
| Both | 588 | 63.8 |
| Total | 922 | 100.0 |
| Frequency | Percent | |
| Blackboard | 624 | 67.7 |
| Zoom | 612 | 66.4 |
| Microsoft Teams | 237 | 25.7 |
| Webex Meet | 128 | 13.9 |
| Google Meets | 2 | 0.2 |
| Total | 922 | 100.0 |
Effect of COVID-19 on the Medical Education Process
| Frequency | Percent % | |
| Have not suspended the educational program | 572 | 62.0 |
| Suspended educational program due to financial problems | 110 | 11.9 |
| Suspended educational program due to my social status and personal responsibilities | 160 | 17.4 |
| Suspended educational program due to other reasons | 80 | 8.7 |
| Total | 922 | 100.0 |
| Frequency | Percent | |
| No | 527 | 57.2 |
| Yes | 395 | 42.8 |
| Total | 922 | 100.0 |
| Frequency | Percent | |
| No/Not currently in training | 393 | 42.6 |
| Yes | 529 | 57.4 |
| Total | 922 | 100.0 |
| Frequency | Percent | |
| Yes, as physicians/inter in training | 118 | 12.8 |
| Yes, as part of my educational program as a student in the clinical education/as volunteer | 372 | 40.3 |
| No, I do not currently work at the hospital | 331 | 35.9 |
| Student at the preclinical education stage, I neither work nor study at the hospital | 101 | 11.0 |
| Total | 922 | 100.0 |
| Frequency | Percent | |
| Feel unwell and have implemented self-isolation | 223 | 24.2 |
| Looking after ill patient/family member | 176 | 19.1 |
| Preparing for medical license exams and post-graduate exams and | 208 | 22.6 |
| Volunteering activities | 401 | 43.5 |
| Medical research activities | 396 | 43.0 |
| Medical education through an online platform | 311 | 33.7 |
| My medical education program at the university was not disrupted | 194 | 21.0 |
| Spending more time with family | 456 | 49.5 |
| Exercise and improving physical fitness | 349 | 37.9 |
| Play video games | 275 | 29.8 |
| Self-learning through a program not provided by faculty | 281 | 30.5 |
| Watch TV | 386 | 41.9 |
| Read non-medical books | 286 | 31.0 |
| Rest and relax | 490 | 53.1 |
| Total | 922 | 100.0 |
| Frequency | Percent | |
| It has affected my career plan and future interest | 331 | 35.9 |
| Became interested in public health/infectious diseases | 181 | 19.6 |
| It has not affected career plan or future interest | 410 | 44.5 |
| Total | 922 | 100.0 |
Student’s Attitude During COVID-19 Pandemic
| Frequency | Percent | ||
| Better to help out in hospitals during the pandemic | 273 | 29.6 | |
| I feel like I am wasting my academic potential due to COVID-19 pandemic” | 323 | 35.0 | |
| Worried about losing chances to apply for specialty training due to COVID-19 | 391 | 42.4 | |
| COVID-19 has negatively affected my well-being | 283 | 30.7 | |
| Worried about being exposed to COVID-19 during clinical practice/training | 321 | 34.8 | |
| Worried about being exposed to COVID-19 in the community | 275 | 29.8 | |
| COVID-19 has had no effect on my educational progress and career | 166 | 18.0 | |
| COVID-19 has had no effect on enrolling in specialties requiring safe care | 112 | 12.1 | |
| Admire the way medical faculty efforts to guide career development | 142 | 15.4 | |
| Concerned about the effects of COVID-19 on training progression timeline | 200 | 21.7 | |
| Content with the response of local authorities to the COVID-19 pandemic | 114 | 12.4 | |
| Content with the response of medical students’ associations to COVID-19 | 109 | 11.8 | |
| COVID-19 affected my physical well-being and overall health | 161 | 17.5 | |
| COVID-19 affected my mental well-being and personal mood | 244 | 26.5 | |
| COVID-19 affected my social well-being and social activities | 253 | 27.4 | |
| COVID-19 affected my intellectual well-being and ability to learn | 169 | 18.3 | |
| COVID-19 affected my ability to find a safe environment for working and learning | 185 | 20.1 | |
| Total | 922 | 100.0 | |
| Frequency | Percent | ||
| E-Learning depends on a comprehensive digital electronic environment displaying educational curriculum through electronic networks | 451 | 48.9 | |
| E-Learning is an interactive system that provides an opportunity t learn through Information and Telecommunication Technology | 423 | 45.9 | |
| E-learning in the medical field is not considered less expensive than conventional learning | 255 | 27.7 | |
| E-learning provides digital multimedia content (written text, audio, video, and images) | 367 | 39.8 | |
| One of the benefits of E-learning with live content is that the scholar receives instant feedback from the instructor | 207 | 22.5 | |
| E-learning is considered a type of tele-education | 248 | 26.9 | |
| Frequency | Percent | ||
| Limited consequences of social contact | 365 | 39.6 | |
| Saves money and energy from using transportation from and to university, a more straightforward method of learning | 603 | 65.4 | |
| Less absenteeism than traditional teaching | 355 | 38.5 | |
| Better interaction of students in classes | 230 | 24.9 | |
| Better/higher academic achievement | 232 | 25.2 | |
| Frequency | Percent | ||
| Needs technical means | 386 | 41.9 | |
| No direct contact with the lecturer | 466 | 50.5 | |
| No clinical access | 555 | 60.2 | |
| Inability to provide a calm environment in the house while having the online class | 323 | 35.0 | |
| Worse/lower academic achievement | 302 | 32.8 | |
| Cannot yet adapt to e-learning | 280 | 30.4 | |
| More absences than in traditional teaching | 296 | 32.1 | |
| Feeling online classes are not safe | 160 | 17.4 | |
| Total | 922 | 100.0 | |
| Frequency | Percent | ||
| Less than 50% | 137 | 14.9 | |
| 50–80% | 409 | 44.4 | |
| More than 80% | 376 | 40.8 | |
| Total | 922 | 100.0 | |
| Frequency | Percent | ||
| Uncomfortable | 282 | 30.6 | |
| Not that importance | 328 | 35.6 | |
| Bad internet connection | 409 | 44.4 | |
| Inappropriate timing | 385 | 41.8 | |
| Frequency | Percent | ||
| Bad | 231 | 25.1 | |
| Good | 603 | 65.4 | |
| Excellent | 88 | 9.5 | |
| Total | 922 | 100.0 | |