Exploring Job Demands and Resources of Special Education Teacher Retention: A Phenomenological Study

The purpose of this phenomenological study was to explore the lived experiences of special education teachers regarding job demands and resources for special education teachers in the Greater Simpson Public School District. The theory guiding this study was the Job Demands-Resources (JD-R) model, which explains how teachers manage job demands and utilize available resources, influencing retention and burnout. The central research question explored: What are the lived experiences of secondary special education teachers with job demands and resources that they perceive may influence the high turnover rate and retention? This study used semi-structured interviews, a virtual focus group, and an artifacts’ gallery walk to collect data from 10 special education teachers. Participants shared their experiences balancing instructional responsibilities, administrative burdens, and time constraints, while also navigating support systems, collaboration, and professional growth opportunities. Data analysis employed holistic, selective, and detailed approaches to identify key themes. Findings revealed that retention depended not only on job demands but also on how those demands were managed and supported. Administrative support, collaboration with colleagues, and professional development played critical roles in helping teachers persist in the field. Additionally, teachers with strong intrinsic motivation and commitment to student success were more likely to remain despite challenges. The results provide insights for school leaders and policymakers to improve teacher retention, reduce burnout, and enhance student outcomes in Title I schools.

Publication Details

Journal
Scholars Crossing (Liberty University)
Published
2025-05-23
Primary Topic
Teacher Education and Leadership Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring Job Demands and Resources of Special Education Teacher Retention: A Phenomenological Study

Scholars Crossing (Liberty University)
Teacher Education and Leadership Studies
article

Exploring Job Demands and Resources of Special Education Teacher Retention: A Phenomenological Study

article en

Abstract

The purpose of this phenomenological study was to explore the lived experiences of special education teachers regarding job demands and resources for special education teachers in the Greater Simpson Public School District. The theory guiding this study was the Job Demands-Resources (JD-R) model, which explains how teachers manage job demands and utilize available resources, influencing retention and burnout. The central research question explored: What are the lived experiences of secondary special education teachers with job demands and resources that they perceive may influence the high turnover rate and retention? This study used semi-structured interviews, a virtual focus group, and an artifacts’ gallery walk to collect data from 10 special education teachers. Participants shared their experiences balancing instructional responsibilities, administrative burdens, and time constraints, while also navigating support systems, collaboration, and professional growth opportunities. Data analysis employed holistic, selective, and detailed approaches to identify key themes. Findings revealed that retention depended not only on job demands but also on how those demands were managed and supported. Administrative support, collaboration with colleagues, and professional development played critical roles in helping teachers persist in the field. Additionally, teachers with strong intrinsic motivation and commitment to student success were more likely to remain despite challenges. The results provide insights for school leaders and policymakers to improve teacher retention, reduce burnout, and enhance student outcomes in Title I schools.

Scholars Crossing (Liberty University)
Openalex Percentile: Top 37%
Teacher Education and Leadership Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.