Perspectives, practices, and challenges of online teaching during COVID-19 pandemic: A multinational survey

The result of the movement restrictions during the COVID-19 pandemic was an impromptu and abrupt switch from in-person to online teaching. Most focus has been on the perception and experience of students during the process. The aim of this international survey is to assess staffs' perspectives and challenges of online teaching during the COVID-19 lockdown. Cross-sectional research using a validated online survey was carried out in seven countries (Brazil, Saudi Arabia, Jordan, Indonesia, India, the United Kingdom, and Egypt) between the months of December 2021 and August 2022, to explore the status of online teaching among faculty members during the COVID-19 pandemic. Variables and response are presented as percentages while logistic regression was used to assess the factors that predict levels of satisfaction and the challenges associated with online instruction. A total of 721 response were received from mainly male (53%) staffs. Most respondents are from Brazil (59%), hold a Doctorate degree (70%) and have over 10 years of working experience (62%). Although, 67% and 79% have relevant tools and received training for online teaching respectively, 44% report that online teaching required more preparation time than face-to-face. Although 41% of respondents were uncertain about the outcome of online teaching, 49% were satisfied with the process. Also, poor internet bandwidth (51%), inability to track students' engagement (18%) and Lack of technical skills (11.5%) were the three main observed limitations. Having little or no prior experience of online teaching before the COVID-19 pandemic [OR, 1.58 (95% CI, 1.35–1.85)], and not supporting the move to online teaching mode [OR, 0.56 (95% CI,0.48–0.64)] were two main factors independently linked with dissatisfaction with online teaching. While staffs who support the move to online teaching were twice likely to report no barriers [OR, 2.15 (95% CI, 1.61–2.86)]. Although, relevant tools and training were provided to support the move to online teaching during COVID-19 lockdown, barriers such as poor internet bandwidth, inability to track students’ engagement and lack of technical skills were main limitations observed internationally by teaching staffs. Addressing these barriers should be the focus of higher education institution in preparation for future disruptions to traditional teaching modes

Impact of smoking status and nicotine dependence on academic performance of Health Sciences students

Background: Smoking behavior has been associated with poor academic performance among adult students worldwide. However, the detrimental effect of nicotine dependence on several students’ academic achievement indicators is still unclear. This study aims to assess the impact of smoking status and nicotine dependence on grade point average (GPA), absenteeism rate and academic warnings among undergraduate health sciences students in Saudi Arabia. Methods: A validated cross-sectional survey was conducted, in which, participants responded to questions evaluated cigarette consumption, urge to consume and dependency, learning performance, days of absentees, and academic warnings. Results: A total of 501 students from different health specialties have completed the survey. Of whom, 66% were male, 95% ranging between the age of 18– 30 years old, and 81% reported no health issues or chronic diseases. Current smokers estimated to be 30% of the respondents, of which 36% revealed smoking history of 2– 3 years. The prevalence of nicotine dependency (high to extremely high) was 50%. Overall, smokers had significantly lower GPA, higher absenteeism rate, and higher number of academic warnings when compared to nonsmokers (p< 0.001). Heavy smokers demonstrated significantly less GPA (p=0.036), higher days of absences (p=0.017), and more academic warnings (p=0.021) compared to light smokers. The linear regression model indicated a significant association between smoking history (increased pack-per-year) and poor GPA (p=0.01) and increased number of academic warning last semester (p=0.01), while increased cigarette consumption was substantially linked with higher academic warnings (p=0.002), lower GPA (p=0.01), and higher absenteeism rate for last semester (p=0.01). Conclusion: Smoking status and nicotine dependence were predictive of worsening academic performance, including lower GPA, higher absenteeism rate and academic warnings. In addition, there is a substantial and unfavorable dose–response association between smoking history and cigarette consumption with impaired academic performance indicators