Term of Award

Fall 2023

Degree Name

Doctor of Education (Ed.D.)

Document Type and Release Option

Dissertation (open access)

Copyright Statement / License for Reuse

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

Department

College of Education

Committee Chair

Steven Tolman

Committee Member 1

Daniel Calhoun

Committee Member 2

Antonio Gutierrez de Blume

Committee Member 3

Damon Andrews

Abstract

This bivariate correlational quantitative study sought to determine how variables predicted students’ course outcomes in first-year English and mathematics courses within a corequisite learning support model. Course outcomes were defined dichotomously on a successful completion or unsuccessful completion basis. The participants of this study included those who initially attempted first-year English (n = 2,055) and mathematics (n = 2,843) course(s) in a corequisite learning support model for the first time between Fall 2018 and Spring 2022 and were assigned as advisees to the professional academic advisors in the centralized advising model. The examined predictors were students’ frequency of sessions, length of time per session, and the first instance in which engagements occurred within the semester between students and professional academic advisors. The researcher deployed a series of binary logistic regressions. The frequency of meetings and the first instance when a student and academic advisor engaged in the semester were significant in students passing first-year corequisite English and mathematics gateway courses.

OCLC Number

1417421547

Research Data and Supplementary Material

No

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