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Hayes, Joseph; Gao, Niu – Public Policy Institute of California, 2021
This document contains the technical appendices for the report "Achieving Digital Equity for California's Students." Appendices include: (1) Census Household Pulse Survey; and (2) Additional Figures. [For the full report, see ED617930. For the Policy Brief, see ED617933.]
Descriptors: COVID-19, Pandemics, Educational Technology, Technology Uses in Education
Hayes, Joseph; Gao, Niu – Public Policy Institute of California, 2021
As the COVID-19 pandemic has shown, digital connectivity is critical to student learning. Gaps in digital access--including reliable access to internet and a digital device--are a driving force in the educational inequities evident during distance learning. In this report, the authors use data on a sample of California households with children…
Descriptors: COVID-19, Pandemics, School Closing, Educational Technology
Rafalow, Matthew H. – Phi Delta Kappan, 2021
Conversations about digital inequality in education often revolve around access to technology. However, research into youth culture has shown that many Black and Latinx teens are able to access technology and have developed the same digital skills as their white peers. Social scientist Matt Rafalow observed three California middle schools where…
Descriptors: Equal Education, Access to Computers, Educational Technology, Racial Differences
Berry, Sharla – Pullias Center for Higher Education, 2021
Black youth are less likely to enroll in college than youth of other races. The disparity in college access, and subsequently, in degree attainment, is due to many systemic and structural factors. Information gaps about how to research, prepare for, and finance a college degree also lead to racial disparities in college access. Technology,…
Descriptors: African American Students, Barriers, College Attendance, Access to Education
Ferren, Megan – Center for American Progress, 2021
When schools closed their doors in March 2020 in response to the COVID-19 pandemic, there was a scramble to adjust to remote learning. Over the summer and into the fall, the debate over reopening took center stage, as school leaders struggled to answer how and when it would be safe to return to the classroom. The Center for American Progress (CAP)…
Descriptors: COVID-19, Pandemics, School Closing, Distance Education
Gao, Niu; Hill, Laura; Lafortune, Julien – Public Policy Institute of California, 2021
A year of distance learning under COVID-19 has fueled growing concerns about the academic progress and social and emotional health of children. In particular, worries increased around how the pandemic has affected high-need and underserved students, including English Learners and children with disabilities, children in foster care and from…
Descriptors: Distance Education, COVID-19, Pandemics, School Districts
Gao, Niu; Hill, Laura; Lafortune, Julien – Public Policy Institute of California, 2021
A year of distance learning under COVID-19 has fueled growing concerns about the academic progress and social and emotional health of children. In particular, worries increased around how the pandemic has affected high-need and underserved students, including English Learners and children with disabilities, children in foster care and from…
Descriptors: Distance Education, COVID-19, Pandemics, School Districts
Public Policy Institute of California, 2021
The past year highlighted and heightened California's key challenges. Millions of Californians lost jobs and income during the COVID-19 crisis; low-income families, communities of color, and women were hit hardest. As schools and universities shifted rapidly to remote learning, educators and parents scrambled to provide all students with…
Descriptors: COVID-19, Pandemics, School Closing, Online Courses
Regalado, Maria Carmen – ProQuest LLC, 2010
This study investigates how community college students' current levels of computer technology competence, confidence and attitudes toward technology in learning at a community college are affected by current access to technology and by demographic characteristics as well as by past experiences with computer technology. The research questions…
Descriptors: First Generation College Students, Ethnicity, Student Attitudes, Troubleshooting