Year: 2024
Type: dissertation
Abstract: At-risk students face academic challenges that can affect nursing program progression. Remediation strategies can increase student success. The research problem addressed through this study is a lack of information surrounding the students' remediation experience in an at-risk, pre-licensure baccalaureate student nurse population. Individualizing remediation to the student population can increase success; however, the student perspective is needed to correctly identify and tailor the remediation activities to fit the students’ needs. The purpose of this descriptive qualitative study was to explore the experience of remediation among at-risk, pre-licensure baccalaureate student nurses. Mezirow's transformative learning theory grounded this study. The research design included semi-structured individual interviews using the Zoom platform. Twelve at-risk baccalaureate nursing students participated. The thematic analysis method was used to generate descriptive and inductive codes. Six themes emerged from the data: (a) positive remediation course experience, (b) most beneficial regarding remediation course, (c) least beneficial regarding remediation course, (d) challenges to success, (e) support for success, and (f) recommendations. A list of recommendations that summarize the benefits of remediation included providing remediation policies early within the course, course scheduling at convenient times, focused homework assignments, and offering the remediation course as a nursing elective for students who are underperforming before failing a course. Positive social change is possible by escalating the knowledge and understanding surrounding at-risk student nurses' remediation experience and initiating implementations to improve remediation strategies and boost student success rates.
Source: ScholarWorks (Walden University)
Author: Jager, Nicole
Institution: Walden University
Language: English
Subfield: Research and Theory
Field: Nursing
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W6990982976
