Adi Jufriansah
Faculty of Applied Science and Tecknology, Universitas Bali International Muhammadiyah

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Transformational Leadership, School Autonomy, and Deep Learning in Vocational Education: A Qualitative Case Study Nurahmad Fauzi; Bambang Sumardjoko; Sri Lahir; Suni Tuti; Adi Jufriansah; Bayu Wardhana; Iwan Junaedi; Ita Nuryana
Journal of Deep Learning Vol. 2, No. 2, December 2026
Publisher : Universitas Muhammadiyah Surakarta in Collaboration with Kemdikdasmen RI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jdl.v2i2.15528

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.
Deep Learning as an Integrated Pedagogical Framework: Synthesizing Mindful, Meaningful, and Joyful Learning for Transformative Educational Experiences Eni Kurnianingsih; Harun Joko Prayitno; Abdul Mu’ti; Zakiyuddin Baidhawy; Adi Jufriansah
Journal of Deep Learning Vol. 2, No. 2, December 2026
Publisher : Universitas Muhammadiyah Surakarta in Collaboration with Kemdikdasmen RI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jdl.v2i2.16008

Abstract

The transformation of 21st-century education requires a shift from knowledge transmission toward learning approaches that emphasize deeper understanding, active engagement, and meaningful experiences. The deep learning approach has emerged as a pedagogical framework that integrates meaningful learning, mindful learning, and joyful learning to develop students’ cognitive, affective, and metacognitive dimensions. However, previous studies have often examined these dimensions separately, resulting in limited understanding of their integration within a comprehensive framework. This study aims to analyze the deep learning approach, identify its implementation patterns, challenges, and implications for improving educational quality. A descriptive qualitative approach was employed through literature synthesis, supported by teacher perceptions, classroom observations, and interviews. Data were analyzed using qualitative descriptive analysis and validated through technique triangulation. The findings reveal that deep learning effectively combines meaningful learning as a foundation for conceptual understanding, joyful learning as a driver of engagement, and mindful learning as a mechanism for reflection and metacognitive development. However, implementation remains dominated by meaningful and joyful learning, while mindful learning receives limited attention. This study highlights that the main challenge of deep learning lies in translating its principles into systematic reflective practices. The findings contribute to pedagogical development by emphasizing the importance of balanced integration among the three dimensions to create meaningful, enjoyable, and sustainable learning experiences.