Student vulnerabilities and confidence in learning in the context of the COVID-19 pandemic

被引:18
作者
Bartolic, Silvia [1 ]
Matzat, Uwe [2 ]
Tai, Joanna [3 ]
Burgess, Jamie-Lee [4 ]
Boud, David [3 ,5 ,6 ]
Craig, Hailey [1 ]
Archibald, Audon [7 ]
De Jaeger, Amy [8 ]
Kaplan-Rakowski, Regina [9 ]
Lutze-Mann, Louise [10 ]
Polly, Patsie [11 ]
Roth, Mary [4 ]
Heap, Tania [7 ]
Agapito, Jenilyn [12 ]
Guppy, Neil [1 ]
机构
[1] Univ British Columbia, Dept Sociol, Vancouver, BC, Canada
[2] Eindhoven Univ Technol, Dept Ind Engn & Innovat Sci, Eindhoven, Netherlands
[3] Deakin Univ, Ctr Res Assessment & Digital Learning, Melbourne, Vic, Australia
[4] Univ New South Wales, Educ & Student Experience, Sydney, NSW, Australia
[5] Univ Technol, Fac Educ, Sydney, NSW, Australia
[6] Middlesex Univ, Dept Educ, London, England
[7] Univ North Texas, Div Digital Strategy & Innovat, Denton, TX 76203 USA
[8] Univ Manitoba, Ctr Adv Teaching & Learning, Winnipeg, MB, Canada
[9] Univ North Texas, Dept Learning Technol, Denton, TX 76203 USA
[10] Univ New South Wales, Sydney, NSW, Australia
[11] Univ New South Wales, Sch Med Sci, Sydney, NSW, Australia
[12] Ateneo Manila Univ, Dept Informat Syst & Comp, Manila, Philippines
关键词
Student vulnerabilities; COVID-19; digital divide; online learning; higher education; teaching and learning; SELF-EFFICACY;
D O I
10.1080/03075079.2022.2081679
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
How did the onset of the COVID-19 pandemic impact student learning in higher education? Everywhere, Sars-CoV-2 struck hardest in the most disadvantaged communities. This paper asks whether the virus's disproportionate effect on more vulnerable groups is replicated among college and university students. Data come from approximately 3800 students studying at nine higher education institutions located in six different countries around the globe. Conventional imagery of the 'Ivory Tower' treats colleges and universities as cloistered academic spaces beyond the 'real world.' Such imagery suggests that the patterns of COVID-19 inequity seen in the general population might not hold within higher education. However, the composition of the post-secondary student body has become more diverse and more representative. This could mean that patterns of inequity from the general population might hold, although perhaps at muted strength, among college and university students. We investigate the higher education context, asking how the characteristics of students, such as their gender or family background, their digital access, and their living arrangements during the COVID-19 pandemic, impacted their self-reported ability to learn. The paper finds that students in more difficult situations - no study space, too much noise, and poorer health - reported greater disruption to their learning than did their peers who experienced fewer challenging living arrangements. Vulnerability, as measured by students in traditionally marginalized positions, had smaller impacts on student's confidence in learning.
引用
收藏
页码:2460 / 2472
页数:13
相关论文
共 27 条
[1]   Combination of myeloproliferative neoplasm driver gene activation with mutations of splice factor or epigenetic modifier genes increases risk of rapid blastic progression [J].
Bartels, Stephan ;
Vogtmann, Julia ;
Schipper, Elisa ;
Busche, Guntram ;
Schlue, Jerome ;
Lehmann, Ulrich ;
Kreipe, Hans .
EUROPEAN JOURNAL OF HAEMATOLOGY, 2021, 106 (04) :520-528
[2]   Differences in resilience between "traditional' and "non-traditional' university students [J].
Chung, Ethel ;
Turnbull, Deborah ;
Chur-Hansen, Anna .
ACTIVE LEARNING IN HIGHER EDUCATION, 2017, 18 (01) :77-87
[3]   Students under lockdown: Comparisons of students' social networks and mental health before and during the COVID-19 crisis in Switzerland [J].
Elmer, Timon ;
Mepham, Kieran ;
Stadtfeld, Christoph .
PLOS ONE, 2020, 15 (07)
[4]  
Evans Mary., 2016, The Persistence of Gender Inequality
[5]   A longitudinal multilevel model analysis of the within-person and between-person effect of effortful engagement and academic self-efficacy on academic performance [J].
Galla, Brian M. ;
Wood, Jeffrey J. ;
Tsukayama, Eli ;
Har, Kim ;
Chiu, Angela W. ;
Langer, David A. .
JOURNAL OF SCHOOL PSYCHOLOGY, 2014, 52 (03) :295-308
[6]   Influence of COVID-19 confinement on students' performance in higher education [J].
Gonzalez, T. ;
de la Rubia, M. A. ;
Hincz, K. P. ;
Comas-Lopez, M. ;
Subirats, Laia ;
Fort, Santi ;
Sacha, G. M. .
PLOS ONE, 2020, 15 (10)
[7]   The Digital Disconnect: The Social Causes and Consequences of Digital Inequalities [J].
Gracia, Pablo .
NEW MEDIA & SOCIETY, 2022, 24 (01) :250-251
[8]   Teaching and learning under COVID-19 public health edicts: the role of household lockdowns and prior technology usage [J].
Guppy, Neil ;
Boud, David ;
Heap, Tania ;
Verpoorten, Dominique ;
Matzat, Uwe ;
Tai, Joanna ;
Lutze-Mann, Louise ;
Roth, Mary ;
Polly, Patsie ;
Burgess, Jamie-Lee ;
Agapito, Jenilyn ;
Bartolic, Silvia .
HIGHER EDUCATION, 2022, 84 (03) :487-504
[9]   Digital Na(t)ives? Variation in Internet Skills and Uses among Members of the "Net Generation" [J].
Hargittai, Eszter .
SOCIOLOGICAL INQUIRY, 2010, 80 (01) :92-113
[10]   Has the open door become a revolving door? The impact on attrition of moving from elite to mass higher education [J].
Kember, David ;
Leung, Doris ;
Prosser, Michael .
STUDIES IN HIGHER EDUCATION, 2021, 46 (02) :258-269