Graduation Year
2025
Document Type
Dissertation
Degree
Ph.D.
Degree Name
Doctor of Philosophy (Ph.D.)
Degree Granting Department
Leadership, Policy, and Lifelong Learning
Major Professor
Amber Dumford, Ph.D.
Committee Member
John Ferron, Ph.D.
Committee Member
Yi-Hsin Chen, Ph.D.
Committee Member
Michelle Bombaugh, Ph.D.
Keywords
Artificial Intelligence, Machine Learning, Predictive Learning Analytics, Regression Discontinuity Analysis, Quantitative Method, Race/Ethnicity, Gender
Abstract
Higher education institutions (HEIs) have embarked on a journey of innovation by adopting learning analytics (LA) in their operation, offering a more sustainable and innovative technological tool to increase student retention and graduation rates in US HEIs. LA, an emerging academic and technological tool, equips HEIs to gather, analyze, and interpret their students’ data. Since the publication of the first (conceptual) framework by Burke (2019), LA has matured into a research focus and practice, implemented in several institutional contexts at different scales and disciplinary/pedagogical contexts. This study explored the impact of the use of LA on student retention and graduation rates. The study was focused on individual demographic characteristics, gender, and race/ethnicity to explore the trends in the data for student retention and six-year graduation rates of a sample of 20 US HEIs collected from IPEDS from 2009 to 2022. This study is relevant to the higher education institution (HEI) research field because it is one of the few research projects that provided quantitative and scientific methods as evidence of LA’s success in helping HEIs increase student retention and graduation rates. When conducting the regression discontinuity for these HEIs, it was found that most variables that showed positive trends after implementing LA/PLA were not statistically significant. The line graphs for 8 of the 20 US HEIs in the sample for this study showed statistically significant changes in six-year graduation rates by gender and race/ethnicity: Bowling Green State University, Virginia Commonwealth University, University of South Alabama, Robert Morris University, Salisbury University, University at Albany, Washburn University, and Auburn University.
Scholar Commons Citation
Thelisdort, Fednold, "Learning Analytics: An Innovative Technological Tool to Help Increase Student Retention and Graduation Rates in US Higher Education Institutions" (2025). USF Tampa Graduate Theses and Dissertations.
https://digitalcommons.usf.edu/etd/10904
