ELEVATING LEADERSHIP WHILE DEMORALISING TEACHERS IN NAMIBIA

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Authors: Eliakim Shihala
Cited by: 0

Abstract

Teacher career progression plays a critical role in sustaining professional motivation, retention, and the overall quality of education. In Namibia, however, the existing career structure largely prioritizes administrative leadership positions over classroom teaching, leaving many experienced teachers professionally constrained and demoralized. Unlike several neighboring education systems that recognize classroom expertise through structured career pathways, Namibia lacks a Grade 7 teacher category that rewards instructional mastery without requiring teachers to move into administrative roles. This study examines the structural imbalance in teacher career progression in Namibia, its impact on teacher motivation and professional recognition, and international best practices that could inform policy reform. A mixed-methods research design was employed, combining qualitative analysis of policy documents, national budget reports, and comparative education studies with quantitative data derived from a national survey of 50,000 experienced teachers. The findings reveal a systemic undervaluation of classroom expertise, a disproportionate emphasis on leadership roles as the primary pathway for career advancement, and limited professional growth opportunities for teachers who wish to remain in classroom practice. Survey results also indicate widespread professional stagnation and declining morale among teachers. The study recommends the establishment of a Grade 7 teacher category, the development of parallel career pathways for teaching and leadership, and policy reforms that align Namibia’s teacher career framework with international standards that recognize teaching as a specialized profession.

Fields of Study & Subjects

Teacher Professional Development and Motivation Teacher Education and Leadership Studies School Leadership and Teacher Performance

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
15 March 2026
Language
EN
Document type
Dataset