Conference Tracks
Academic/ Professional Development - Research
Abstract
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.
Session Format
Poster
Publication Type and Release Option
Image (Open Access)
Recommended Citation
Mercer, Katie M. and Sullivan, Kelly, "Public Health SoTL: From Anecdote to Data" (2022). SoTL Commons Conference. 20.
https://digitalcommons.georgiasouthern.edu/sotlcommons/SoTL/2022/20
Included in
Curriculum and Instruction Commons, Educational Assessment, Evaluation, and Research Commons, Educational Methods Commons, Higher Education Commons, Social and Philosophical Foundations of Education Commons
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.
