  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?
This paper addresses the question and presents a Bayesian quantile analysis of
public opinion using a nationally representative survey data from the United
States. Our findings show 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. Besides,
covariate effects show heterogeneity across quantiles which cannot be captured
using probit or logit models.
