Date of Award:
12-2025
Document Type:
Dissertation
Degree Name:
Doctor of Philosophy (PhD)
Department:
Instructional Technology and Learning Sciences
Committee Chair(s)
Lisa Lundgren
Committee
Lisa Lundgren
Committee
Brock Couch
Committee
LuEttaMae Lawrence
Committee
John Edwards
Committee
Kelli Munns
Abstract
The demand for online courses continues to increase, as do the critiques of their effectiveness. Studies have found that peer interactions positively impact the online course experience and that peers can offer feedback to each other at the instructor's level with proper guidance. To help understand this feedback, researchers have identified feedback dimensions. Most feedback dimensions have been created through inductive coding, not exploratory data analysis approaches. This study sought to identify those feedback dimensions that perhaps had been missed or were highly associated with those already existing in the literature, hoping to inform research and practice to improve the feedback activities existing within the online undergraduate education courses.
Recommended Citation
Siggard, Reagan R., "From Feedback to Insight: Using Hierarchical Clustering Analysis to Identify and Analyze Feedback Dimensions in Online Courses" (2025). All Graduate Theses and Dissertations, Fall 2023 to Present. 633.
https://digitalcommons.usu.edu/etd2023/633
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