Journal of Deep Learning
Vol. 2, No. 2, December 2026

Transformational Leadership, School Autonomy, and Deep Learning in Vocational Education: A Qualitative Case Study

Nurahmad Fauzi (Faculty of Teacher Training and Education, Universitas Muhammadiyah Surakarta)
Bambang Sumardjoko (Faculty of Teacher Training and Education, Universitas Muhammadiyah Surakarta)
Sri Lahir (Faculty of Teacher Training and Education, Universitas Muhammadiyah Surakarta)
Suni Tuti (Faculty of Law and Political Sciences, Universitas Muhammadiyah Surakarta)
Adi Jufriansah (Faculty of Applied Science and Tecknology, Universitas Bali International Muhammadiyah)
Bayu Wardhana (Faculty of Applied Science and Tecknology, Universitas Bali International Muhammadiyah)
Iwan Junaedi (Faculty of Mathematics and Natural Sciences, Universitas Negeri Semarang)
Ita Nuryana (Faculty of Economics and Business, Universitas Negeri Semarang)



Article Info

Publish Date
31 Aug 2026

Abstract

School autonomy is essential for enabling Vocational High Schools (SMKs) to respond to changing educational and labor-market demands. However, formal autonomy does not always translate into institutional flexibility and pedagogical innovation. This study analyzes principals’ transformational leadership strategies for strengthening school autonomy and creating conditions that support Deep Learning through meaningful, mindful, and joyful learning. A qualitative intrinsic case study design was employed, using semi-structured interviews, non-participant observations, and document analysis involving principals, vice principals, teachers, vocational program coordinators, and other relevant personnel. Data were analyzed using the interactive model of Miles, Huberman, and Saldaña. The findings reveal three interconnected strategies: (1) articulating an autonomy-oriented vision and reconstructing bureaucratic culture; (2) empowering teachers through participation, delegation, trust, and professional autonomy; and (3) expanding school autonomy through policy negotiation and external networking, particularly with education authorities and DUDI. These strategies created organizational conditions conducive to Deep Learning by supporting contextual and authentic learning, reflective engagement, and engaging and collaborative learning experiences. The study contributes to educational leadership scholarship by demonstrating how transformational leadership can translate formal school autonomy into organizational capacity that supports pedagogical transformation. Practically, the findings highlight distributed leadership, teacher empowerment, accountability, pedagogical flexibility, and strategic industry partnerships as important mechanisms for strengthening autonomous and responsive vocational education.

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 ...