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Izci, Burcu; Geesa, Rachel Louise; Chen, Shiyi; Song, Hyuksoon S. – Journal of Research in Education, 2023
This study explored the daily routines of caregivers and the coping behaviors of both children and caregivers during the novel coronavirus (COVID-19) global pandemic. We collected data from ten caregivers and their children through caregiver and child interviews, and a caregiver survey in the Summer of 2020. We used descriptive statistics, and…
Descriptors: Coping, Caregivers, Children, COVID-19
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Adaramola, AraOluwa; Godwin, Allison; Boudouris, Bryan – Chemical Engineering Education, 2022
This study evaluates students' outcomes in an online materials and energy balances course during the COVID-19 pandemic. Using multiple linear regression, we found that students' "competence" and "autonomy" beliefs decreased across the semester, with a negative change in competence beliefs predicting higher grades for students,…
Descriptors: COVID-19, Pandemics, Academic Achievement, Student Motivation
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Grady, Rebecca K.; La Touche, Rachel; Oslawski-Lopez, Jamie; Powers, Alyssa; Simacek, Kristina – Teaching Sociology, 2014
Graduate students occupy social positions within institutions of higher education that are rife with role strain and, relative to broader power relations within these institutions, are marginalized. In this study, we inquire how the social positions and concomitant roles of graduate students shape their mental health experiences, investigating…
Descriptors: Graduate Students, Stress Variables, Power Structure, Social Status
Gerkensmeyer, Janis; McBride, Angela Barron; Feaster, Cynthia B.; Austin, Joan – 1996
One-hundred and sixty parents of students (ages 9 and older) who were part of an Indiana Alternative Residential Services (ARS) program were surveyed regarding their satisfaction with services received. At least one response came from 47 family units (46 mothers, 24 fathers, and 25 students). Parents completed the Parent's Stressors Scale, the…
Descriptors: Adolescents, Behavior Disorders, Children, Delivery Systems