Journal of Deep Learning
Vol. 2, No. 1, June 2026

Policy–Practice Gap in Teacher Career Development: Implications for Motivation and Educational Quality in Private Junior Secondary Schools

Murwanto Setyo Nugroho (Faculty of Teacher Training and Education, Universitas Muhammadiyah Surakarta)
Harun Joko Prayitno (Faculty of Teacher Training and Education, Universitas Muhammadiyah Surakarta)
Indri indri (Faculty of Teacher Training and Education, Universitas Muhammadiyah Surakarta)
Cuk Taruna Hendrajaya (Faculty of Bussiness and Law, Universitas Bali Internasional Muhammadiyah)
Iwan Junaedi (Faculty of Mathematics and Natural Sciences, Universitas Negeri Semarang)



Article Info

Publish Date
25 Apr 2026

Abstract

This study aims to critically analyze the implementation of teacher career development policies in private junior secondary schools in Sukoharjo Regency and their impact on teacher motivation and educational quality. This study employs a qualitative approach with a case study design, involving teachers, school principals, and school supervisors as key informants. Data were collected through in-depth interviews, observations, and document analysis, and analyzed using the Miles, Huberman, and Saldaña framework. The findings reveal a significant gap between formal policies and their implementation (policy–practice gap), where policies tend to be administrative in nature and lack sustainable evaluation mechanisms. Furthermore, power structures dominated by school foundations and the weak application of meritocratic principles result in promotion and career development processes that are not based on performance and competence. These conditions lead to declining motivation, low organizational commitment, and a high intention among teachers to leave. More broadly, the weak career development system contributes to stagnation in instructional innovation and declining educational quality. This study highlights the importance of policy reform oriented toward transparency, meritocracy, and continuous professional development. The findings are expected to serve as a basis for developing more equitable, contextual, and sustainable teacher career development policies, particularly in the private education sector.

Copyrights © 2026






Journal Info

Abbrev

jdl

Publisher

Subject

Education Languange, Linguistic, Communication & Media Social Sciences

Description

The Journal of Deep Learning is dedicated to advancing research on deep learning as a methodological approach in education and AI-based technological development. We emphasize deep learning integrated with artificial intelligent (AI) that fosters meaningful, joyful, and mindful education—rooted in ...