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1.
Review of International Geographical Education Online ; 11(5):3689-3702, 2021.
Article in English | Scopus | ID: covidwho-1481424

ABSTRACT

The study aims to know the level of educational attainment for King Faisal University students in light of the rapid shift from traditional education to distance education due to the spread of Virus Corona (COVID 19). The novelty, of the proposed study is to confirmed students' level in distance education during the Covid-19. The study also attempts to measure the extent of the parents' and teachers' ability to monitor the progress of the students through distance education. In order to warrant stability of the questionnaire, 275 students participated to answer the questions, they were divided into 56% male students and 44% female students. The researcher used the Alpha Cronbach lab to find a coefficient of the internal consistency was (82.3), which is a high level of stability and acceptable for the purpose of conducting the research. Based on the data analysis, the study confirmed that the educational attainment through distance education for university students was 92%, and the follow-up rate was 72% high. The study used a package of analytical methods of the SPSS program to find out the results. © 2021. RIGEO. All Rights Reserved.

2.
Cmc-Computers Materials & Continua ; 67(2):2029-2047, 2021.
Article in Spanish | Web of Science | ID: covidwho-1140884

ABSTRACT

This article aims to assess health habits, safety behaviors, and anxiety factors in the community during the novel coronavirus disease (COVID-19) pandemic in Saudi Arabia based on primary data collected through a questionnaire with 320 respondents. In other words, this paper aims to provide empirical insights into the correlation and the correspondence between sociodemographic factors (gender, nationality, age, citizenship factors, income, and education), and psycho-behavioral effects on individuals in response to the emergence of this new pandemic. To focus on the interaction between these variables and their effects, we suggest different methods of analysis, comprising regression trees and support vector machine regression (SVMR) algorithms. According to the regression tree results, the age variable plays a predominant role in health habits, safety behaviors, and anxiety. The health habit index, which focuses on the extent of behavioral change toward the commitment to use the health and protection methods, is highly affected by gender and age factors. The average monthly income is also a relevant factor but has contrasting effects during the COVID-19 pandemic period. The results of the SVMR model reveal a strong positive effect of income, with R-2 values of 99.59%, 99.93% and 99.88% corresponding to health habits, safety behaviors, and anxiety.

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