Please use this identifier to cite or link to this item: http://hdl.handle.net/10739/4794
Title: Do online courses provide an equal educational value compared to in-person classroom teaching? Evidence from U.S. survey data using quantile regression
Authors: Ojha, Manini
Rahman, Mohammad Arshad
Keywords: Binary outcomes
COVID-19
online education
Gibbs sampling
public opinion
Pew Research Center
Issue Date: 21-Jun-2021
Publisher: Education Policy Analysis Archives, Arizona State University, USA
Citation: Ojha, M., & Rahman, M. A. (2021). Do online courses provide an equal educational value compared to in-person classroom teaching? Evidence from U.S. survey data using quantile regression. Education Policy Analysis Archives, 29(85), 1-25.
Abstract: Education has traditionally been classroom-oriented with a gradual growth of online courses in recent times. However, the outbreak of the COVID-19 pandemic has dramatically accelerated the shift to online classes. Associated with this learning format is the question: what do people think about the educational value of an online course compared to a course taken in-person in a classroom? We address this question and present a Bayesian quantile analysis of public opinion using a nationally representative survey data from the United States. We find that previous participation in online courses and full-time employment status favor the educational value of online courses. We also find that the older demographic and females have a greater propensity for online education. In contrast, highly educated individuals have a lower willingness towards online education vis-a-vis traditional classes. Regional variations in the propensity to value online classes also exist. Besides, covariate effects show heterogeneity across quantiles which cannot be captured using probit or logit models.
URI: https://doi.org/10.14507/epaa.29.5919
http://hdl.handle.net/10739/4794
ISSN: 1068-2341
Appears in Collections:JGU Research Publications

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