Use of Data Analytics in Supporting the Advising of Undecided Students

Higher education institutions have prioritized supporting undecided students with their major and career decisions for decades. This study used a U.S. public research-focused university’s large-scale institutional data set and undecided student’s retention and graduation rate predictors to demonstra...

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Bibliographic Details
Published inJournal of college student retention : Research, theory & practice Vol. 23; no. 4; pp. 824 - 849
Main Authors Wang, Rong, Orr, James E.
Format Journal Article
LanguageEnglish
Published Los Angeles, CA SAGE Publications 01.02.2022
Subjects
Academic Achievement
Academic Advising
Academic Persistence
College Credits
Data Analysis
Data Use
Decision Making
Graduation Rate
Majors (Students)
Predictor Variables
Public Colleges
Student Characteristics
Time to Degree
Undergraduate Students
major changes
data analytics
undecided students
academic success
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Summary:Higher education institutions have prioritized supporting undecided students with their major and career decisions for decades. This study used a U.S. public research-focused university’s large-scale institutional data set and undecided student’s retention and graduation rate predictors to demonstrate how to couple student and institutional data with predictive analytics to understand the different demographics, academic characteristics, and the number of major changes between undecided and decided students. This study helps practitioners take the first step in using data analytics to inform decision-making in academic advising and supporting undecided students’ academic success.
ISSN:1521-0251
1541-4167
DOI:10.1177/1521025119880819