Date of Award
2024
Degree Type
Open Access Dissertation
Degree Name
Education, PhD
Program
School of Educational Studies
Dissertation or Thesis Committee Member
Gwen Garrison
Dissertation or Thesis Committee Member
Emilie Reagan
Dissertation or Thesis Committee Member
Frances Marie Gipson
Terms of Use & License Information
This work is licensed under a Creative Commons Attribution 4.0 License.
Rights Information
© 2024 Kyle Perez Robinson
Keywords
administrator recommendations, artificial intelligence, ecological systems model, teacher attrition, teacher retention, teacher shortage
Subject Categories
Education | Educational Administration and Supervision | Educational Leadership
Abstract
The COVID-19 pandemic was an unprecedented event in modern educational history that resulted in a dramatic upheaval of the traditional school system. The shift from brick-and-mortar to virtual instruction resulted in profound anxiety and demand (Kush et al., 2021). As the quarantine ended, the return to the physical classroom brought with it new, unanticipated stressors such as COVID-19 safety protocols, shifts in student behavior, and pronounced learning gaps from virtual instruction. Coupled with existing tensions, many educators who had previously identified as career teachers became “likely pandemic leavers” as they departed the profession (Steiner, 2021). While there is ample research on teacher attrition and retention, given the gravity of the global pandemic, it is critical to investigate the factors teachers consider when making the choice to leave or stay teaching in the wake of the COVID-19 pandemic. This qualitative research conducted and analyzed thirty semi-structured interviews with teachers who taught in Southern California during the 2021-2022 school year. This study explored the factors that influence retention or attrition and how teachers weighed these factors during the decision-making process to stay in or leave the teaching profession. Framed through the ecological systems model, “factors” are unpacked as the varying levels of systems that shape the teaching profession. Analysis revealed that school administration teams play a substantial role in teachers’ decision to leave, while individual values and relationships with students and colleagues were weighed heavily in the decision to stay. Additionally, this research considered how the implementation of artificial intelligence (AI) assisted qualitative coding in Atlas.ti, while inexact, can function as a supplementary tool to inform the creation and application of a researcher-generated coding scheme.
ISBN
9798382749327
Recommended Citation
Robinson, Kyle. (2024). Where’s My Teacher? Factors Influencing Teacher Retention/Attrition in a Post-COVID Landscape. CGU Theses & Dissertations, 798. https://scholarship.claremont.edu/cgu_etd/798.
