Public Health SoTL: From Anecdote to Data

Challenges related to teaching and learning are often discussed among faculty. Student input is often sparse and subject to volunteer bias, resulting in feedback that is likely not representative. Furthermore, there is also anecdotal evidence that public health faculty have strong views regarding teaching and learning topics, particularly when it comes to online instruction for courses with rigorous methodologic or analytic content, and there are concerns student performance may differ based on course modality. In an effort to draw evidence-based conclusions based on non-anecdotal data, a public health student and faculty dataset creation and analysis model is explored.