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Transformasi Supervisi Pendidikan dalam Menjembatani Spiritualitas dan Technopreneurship di Era Kecerdasan Buatan Hilmi Qosim Mubah; Nunuk Hariyati; Fulviana Arraisah; Moh. Ferdiyanto Ali Jakfar; Ach. Baidowi; Abdul Wahid; Abdul Wafi; Ali Nurhadi
re-JIEM (Research Journal of Islamic Education Management) SPECIAL ISSUE OF 1-ST INCOME (INTERNATIONAL CONFERENCE ON MANAGEMENT AND EDUCATION)
Publisher : Islamic Education Management Study Program, Tarbiyah and Teacher Training Faculty, State Islamic University of Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19105/re-jiem.vi.24258

Abstract

The integration of Artificial Intelligence (AI) in education demands a transformation of supervisory functions that balances technological innovation with human values. This study aims to explore the conceptualization of educational supervision at the intersection of spirituality and technopreneurship within AI-integrated learning environments. The method employed was a qualitative Systematic Literature Review (SLR) following the PRISMA 2020 protocol. A systematic search was conducted on the Scopus database with strict inclusion criteria, yielding 12 final articles assessed for quality using the Mixed Methods Appraisal Tool (MMAT). Synthesis results indicate significant conceptual fragmentation where literature remains separated between AI-technology domains and spiritual-value domains, without holistic integration or explicit discussion regarding technopreneurship. No comprehensive model was found bridging spiritual values with AI-based technopreneurship practices, and implementation challenges were reported in a fragmented manner per domain. This research provides theoretical, methodological, and practical contributions for developing an integrative supervision framework. It is concluded that transforming educational supervision in the AI era requires integrating spiritual values and entrepreneurial insights to create a holistic and sustainable ecosystem.
Pemanfaatan Media Pembelajaran Berbasis AI untuk Mendukung Education for Sustainable Development (ESD) di Madura: Pendekatan Kontekstual Berbasis Kearifan Lokal Moh Khalid Hasan; Hesti Kusumawati; Abdul Wafi; Aldi Firnanda; Sahril Hamdani
Entita: Jurnal Pendidikan Ilmu Pengetahuan Sosial dan Ilmu-Ilmu Sosial Special Edition: Renaisans 2nd International Conference of Social Studies
Publisher : IAIN Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19105/ejpis.v2i.24446

Abstract

This study was motivated by the limited use of technology in learning that supports Education for Sustainable Development (ESD) in Madura, making AI-based innovations necessary to improve the quality of learning. The objective of this study is to analyze the use of AI-based learning media (ChatGPT, Edpuzzle, and Canva) in supporting ESD in Madura, as well as to examine their impact, challenges, and strategies regarding the improvement of students’ engagement, independence, creativity, and higher-order thinking skills. This study employs a qualitative approach with a descriptive-exploratory design. Data were collected through observation, interviews, and documentation, involving teachers and students as research subjects. Data analysis was conducted using an interactive model encompassing data reduction, data presentation, and drawing conclusions, with validity tested through triangulation of sources and methods. Research findings indicate that the use of ChatGPT can enhance independent learning through adaptive and flexible question-and-answer interactions. The use of Edpuzzle has been shown to increase student engagement and understanding through interactive videos accompanied by evaluative questions. Meanwhile, Canva fosters students’ creativity in producing visual works based on sustainability issues that are contextual to the Madura environment. Furthermore, AI-based learning also contributes to developing students’ critical and reflective thinking skills. However, its implementation still faces challenges such as infrastructure limitations, teacher readiness, as well as ethical and data privacy issues; therefore, optimization strategies are needed through the enhancement of educators’ competencies and sustained policy support.