Socioeconomic Status of University Students as a Limiting Factor for Various Forms of Distance Education during COVID-19 Measures

被引：7

作者：

Chytry, Vlastimil ^{[1
]}

Kubiatko, Milan ^{[1
]}

Sindelarova, Romana ^{[2
,3
]}

Medova, Janka ^{[4
]}

机构：

[1] Univ Jan Evangelista Purkyne Usti nad Labem, Fac Educ, Dept Presch & Primary Educ, Usti Nad Labem 40001, Czech Republic

[2] Charles Univ Prague, Inst Dent Med, Dept Orthodont, Univ Hosp, Prague 12000, Czech Republic

[3] Charles Univ Prague, Med Fac 1, Prague 12000, Czech Republic

[4] Constantine Philosopher Univ Nitra, Fac Nat Sci & Informat, Dept Math, Tr A Hlinku 1, Nitra 94901, Slovakia

来源：

SUSTAINABILITY | 2022年 / 14卷 / 10期

关键词：

COVID-19; distance education; blended learning; socioeconomic status; STATUS SES; HEALTH; AGE; BEHAVIOR;

D O I：

10.3390/su14105898

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

The aim of this study was to determine the influences and impacts of the socioeconomic status (SES) of families on university students and their studies during anti-pandemic measures resulting from the COVID-19 pandemic. Another aspect of the study was to investigate the various educational elements used during the course of distance teaching. This research was performed on a sample of 1280 respondents. Statistically significant differences in the case of SES grades were observed only with the following variables: (i) difficulty factor for the combined education form, (ii) age, and (iii) the duration of the teaching practice (p < 0.05). The post-hoc analysis (LSD test) did not show a linear trend in the sense that the values of the respective variables also increased as the SES increased. These data proved that the higher the economic status of the family, the lower the value of the variable.

引用

页数：12

共 52 条

[1] The age pattern of social inequalities in health at older ages: are common measures of socio-economic status interchangeable? [J].

Acciai, F. .

PUBLIC HEALTH, 2018, 157 :135-141

[2] The role of apathy, personal insecurity, and socio-economic status in formation of risk-taking behavior among university students [J].

Ahmad, Saeed ;

Maqsood, Fauzia ;

Waseer, Wasif Ali .

JOURNAL OF HUMAN BEHAVIOR IN THE SOCIAL ENVIRONMENT, 2018, 28 (02) :221-239

[3] Machine Learning Based Depression, Anxiety, and Stress Predictive Model During COVID-19 Crisis [J].

Al-Wesabi, Fahd N. ;

Alsolai, Hadeel ;

Hilal, Anwer Mustafa ;

Hamza, Manar Ahmed ;

Al Duhayyim, Mesfer ;

Negm, Noha .

CMC-COMPUTERS MATERIALS & CONTINUA, 2022, 70 (03) :5803-5820

[4] Measuring Socioeconomic Differences in Use of Health Care Services by Wealth Versus by Income [J].

Allin, Sara ;

Masseria, Cristina ;

Mossialos, Elias .

AMERICAN JOURNAL OF PUBLIC HEALTH, 2009, 99 (10) :1849-1855

[5] Subjective socioeconomic status as a predictor of long-term care staff burnout and positive caregiving experiences [J].

Ayalon, Liat .

INTERNATIONAL PSYCHOGERIATRICS, 2008, 20 (03) :521-537

[6] COVID 19 Pandemic, Socio-Economic Behaviour and Infection Characteristics: An Inter-Country Predictive Study Using Deep Learning [J].

Basu, Srinka ;

Sen, Sugata .

COMPUTATIONAL ECONOMICS, 2023, 61 (02) :645-676

[7] A longitudinal investigation of parental social-economic status (SES) and young students' learning of English as a foreign language [J].

Butler, Yuko Goto ;

Le, Vi-Nhuan .

SYSTEM, 2018, 73 :4-15

[8] INDO-CHINESE REFUGEE FAMILIES AND ACADEMIC-ACHIEVEMENT [J].

CAPLAN, N ;

CHOY, MH ;

WHITMORE, JK .

SCIENTIFIC AMERICAN, 1992, 266 (02) :36-42

[9]

Capraro M.M., 2000, INVESTIGATION EFFECT

[10]

Cesco S., 2021, International Journal of Higher Education, V10, P285, DOI DOI 10.5430/IJHE.V10N3P285

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