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Articles 1 - 2 of 2
Full-Text Articles in Library and Information Science
Data Set: "One Size Does Not Fit All: Self-Archiving Personas Based On Federally-Funded Researchers At A Mid-Sized Private Institution", Jennifer Bowers, Jenelys Cox, Meg Eastwood, Jack M. Maness
Data Set: "One Size Does Not Fit All: Self-Archiving Personas Based On Federally-Funded Researchers At A Mid-Sized Private Institution", Jennifer Bowers, Jenelys Cox, Meg Eastwood, Jack M. Maness
University Libraries: Data Sets
Data set for the upcoming article "One Size Does Not Fit All: Self-Archiving Personas Based on Federally-Funded Researchers at a Mid-Sized Private Institution."
Article is available at https://digitalcommons.du.edu/libraries_facpub/137 or https://doi.org/10.31274/jlsc.13886.
Mental Health And Online Learning - Systematic Review Dataset, Stephanie L. Moore Phd, George Veletsianos, Michael Barbour
Mental Health And Online Learning - Systematic Review Dataset, Stephanie L. Moore Phd, George Veletsianos, Michael Barbour
University Libraries & Learning Sciences Faculty and Staff Publications
While there has been a lot of debate over the impact of online and remote learning on mental health and well-being, there has been no systematic syntheses or reviews of the research on this particular issue. In this paper, we review the research on the relationship between mental health / well-being and online or remote learning. Our review shows that little scholarship existed prior to 2020 with most studies conducted during the COVID-19 pandemic. We report four findings: (a) pandemic effects are not well-controlled for in most studies; (b) studies present a very mixed picture, with variability around how mental …