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Transforming Islamic and Moral Education with Generative AI: A Statistical Systematic Review Budiyanto, Budiyanto; Al Matari, Ali Said; Adiyono, Adiyono; Dalimarta, Fahmy Ferdian
SYAMIL: Journal of Islamic Education Vol 13 No 3 (2025): SYAMIL: Journal of Islamic Education
Publisher : Pascasarjana Universitas Islam Negeri Sultan Aji Muhammad Idris Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21093/sy.v13i3.11935

Abstract

The integration of artificial intelligence is reshaping global education. This study systematically investigates the role of semi-supervised generative AI in transforming Islamic and moral education. This study aims to systematically investigate the role of semi-supervised generative artificial intelligence (AI) in transforming Islamic and moral education through a PRISMA-guided statistical systematic literature review. The increasingly widespread integration of AI tools such as ChatGPT, Gemini, DeepSeek, Agnes AI, and Cici has reshaped pedagogical practices, yet few studies have quantitatively examined their impact in faith-based education. A key issue addressed is the limited empirical understanding of how semi-supervised learning models mediate between human-guided moral instruction and AI-driven autonomous reasoning. Data were extracted from 38 peer-reviewed publications (2020–2025) across major databases and analyzed using statistical synthesis and meta-analysis. The results indicate a moderate positive effect size (d = 0.56) for generative AI in enhancing student engagement, critical thinking, and ethical reasoning in Islamic learning contexts. Tools such as ChatGPT and Gemini demonstrated the strongest pedagogical outcomes, while Agnes AI and Cici demonstrated unexplored potential. This study concludes that semi-supervised generative AI offers significant opportunities for pedagogical innovation and improved moral reasoning, although ethical supervision and the development of local AI models remain critical for sustainable implementation.
Beyond Digitalization: AI-Driven Administrative Management and Its Impact on School Quality Improvement Maskanah, Maskanah; Adiyono, Adiyono; Muhammad, Nur; Al-Matari, Ali Said; Waziroh, Iro
Muallimun : Jurnal Kajian Pendidikan dan Keguruan Vol 6 No 1 (2026): Vol. 6 No. 1 (2026): MUALLIMUN in-Press
Publisher : Institut Agama Islam Negeri Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23971/muallimun.v6i1.11137

Abstract

The fast-disrupting entry of artificial intelligence (AI) into educational administration has warranted the need to decipher how digital transformation works beyond passing technical efficiencies; indeed, digital transformation creates havoc at the heart of school quality improvements. Existing literature mainly focuses on technology adoption and results pertaining to performance outcomes, while relatively lesser emphasis is given to the introduction of organizational and professional changes that accompany AI-borne administrative practices. This study aims to analyze the re-engineering of administrative workflows, decision-making, and professional roles in school management as a function of AI-supported administrative management. This research took a qualitative case study approach to provide a deeper understanding of AI-enabled administrative change in a school context. Data were gathered through semi-structured interviews with school leaders and administrative staff, non-participant observation of administrative processes, and secondary document analysis. The data were thematically analyzed for recurring patterns of efficiency, transparency, and transformation of professional practice. The findings suggest that AI-based administration improves the means of procedure efficiency and enhances the accuracy and transparency of data, and refashions administrative roles to function more in analytical and coordinative aspects rather than in routine clerical functions. Most significantly, the study shows that AI in reality acts as an enabling infrastructure restructuring administrative logic and organizational practices, but does not simply automate them. The results depict the importance of adopting a process perspective of AI integration, which can inform better and more context-specific educational management policies.
Transforming Islamic and Moral Education with Generative AI: A Statistical Systematic Review Budiyanto, Budiyanto; Al Matari, Ali Said; Adiyono, Adiyono; Dalimarta, Fahmy Ferdian
SYAMIL: Journal of Islamic Education Vol 13 No 3 (2025): SYAMIL: Journal of Islamic Education
Publisher : Pascasarjana Universitas Islam Negeri Sultan Aji Muhammad Idris Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21093/sy.v13i3.11935

Abstract

The integration of artificial intelligence is reshaping global education. This study systematically investigates the role of semi-supervised generative AI in transforming Islamic and moral education. This study aims to systematically investigate the role of semi-supervised generative artificial intelligence (AI) in transforming Islamic and moral education through a PRISMA-guided statistical systematic literature review. The increasingly widespread integration of AI tools such as ChatGPT, Gemini, DeepSeek, Agnes AI, and Cici has reshaped pedagogical practices, yet few studies have quantitatively examined their impact in faith-based education. A key issue addressed is the limited empirical understanding of how semi-supervised learning models mediate between human-guided moral instruction and AI-driven autonomous reasoning. Data were extracted from 38 peer-reviewed publications (2020–2025) across major databases and analyzed using statistical synthesis and meta-analysis. The results indicate a moderate positive effect size (d = 0.56) for generative AI in enhancing student engagement, critical thinking, and ethical reasoning in Islamic learning contexts. Tools such as ChatGPT and Gemini demonstrated the strongest pedagogical outcomes, while Agnes AI and Cici demonstrated unexplored potential. This study concludes that semi-supervised generative AI offers significant opportunities for pedagogical innovation and improved moral reasoning, although ethical supervision and the development of local AI models remain critical for sustainable implementation.
Inclusive Leadership and Equity Outcomes in Heterogeneous Primary Education Hatimah, Nadiatul; Adiyono, Adiyono; Mansouri, Mabrouk Chibani; Daryanti, Naila Widya
Management of Education: Jurnal Manajemen Pendidikan Islam Vol. 12 No. 1 (2026): Management of Education: Jurnal Manajemen Pendidikan Islam In-Press
Publisher : Fakultas Tarbiyah dan Keguruan UIN Antasari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18592/moe.v12i1.19677

Abstract

Today, primary education increasingly embraces inclusive leadership as schools face growing diversity in students' academic levels, learning characteristics, and social backgrounds. Although policy and instructional literature widely discuss inclusion, empirical research rarely examines how school leaders enact inclusive leadership in everyday management practices. This study explores how equity-oriented leadership practices enhance inclusion in managing heterogeneous primary education learners. Using an exploratory qualitative case study design, we investigated inclusive leadership practices at SDTQ Anak Sholih through semi-structured interviews with school leaders and teachers, classroom observations, and analysis of institutional documents. The researchers conducted a thematic analysis to identify patterns and leadership practices related to equity and inclusion. The analysis revealed that school leaders operationalized inclusive leadership through four key approaches: equity-centered decision-making, differentiated classroom organization, restorative strategies for social dynamics, and distributed collaboration with teachers and parents. Notably, even in instances of limited parental engagement, equity-oriented leadership persisted, indicating that distributed leadership supports inclusive practices. The findings position inclusive leadership not merely as a normative ideal but as a dynamic systemic process with significant implications for both educational leadership theory and the inclusive management of diverse school classrooms.
Artificial Intelligence in Lebanese Upper Elementary Science Classrooms: Readiness, Practices, and Pedagogical Impact Badawi, Habib; Adiyono, Adiyono
Journal of Elementary Education Research and Practice Vol. 2 No. 1 (2026): Journal of Elementary Education Research and Practice
Publisher : Yayasan Centre for Studying and Milieu Development of Indonesia (CESMiD)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70376/r2ajk953

Abstract

The integration of artificial intelligence (AI) into K–12 education raises urgent questions about pedagogical quality, teacher readiness, and educational equity. The present investigation examines AI readiness, classroom practices, and pedagogical impact in Lebanese upper elementary science education, a context shaped by structural inequality, fragile infrastructure, and growing educator interest in digital transformation. A convergent parallel mixed-methods design was employed, combining structured teacher surveys adapted from DigCompEdu and Technological Pedagogical Content Knowledge (TPACK)-validated instruments, systematic classroom observations, and semi-structured interviews with teachers and school leaders across public and private Lebanese schools. Findings reveal that participating teachers predominantly occupy intermediate DigCompEdu competence levels (Integrator to Expert), demonstrating functional digital competence but significant underdevelopment in higher-order AI pedagogical integration. Classroom practice predominantly relies on substitutive, Replacement-level AI use, while only a small number of better-resourced private schools implement transformative, AI-enabled science instruction. Barriers to integration are structural and systemic rather than motivational, with significant sector differences confirmed across all key competence and readiness measures. Significant equity disparities in AI access, professional development, and pedagogical impact persist across public and private school sectors. The investigation also identifies five underacknowledged pedagogical risks: teacher deskilling, the erosion of epistemic authority, generative AI hallucination hazards, algorithmic opacity in assessment, and the hidden curriculum of AI-mediated knowledge, and it argues that policymakers and practitioners must address these risks alongside structural challenges. The study further provides evidence-based policy recommendations for the Lebanese Ministry of Education, school leaders, and the research community, and outlines implications for the wider MENA region.
Co-Authors Abad Badruzaman Abdan Rahim, Abdan Abdul Malik Abdul Wafi, Hasan Abdulloh, Mukit Abdurrohim Abdurrohim Abdurrohim, Abdurrohim Adila, Alya Ulfa Agnia, Ana Satia Agus Zaenul Fitri Ahmad Muhajir, Ahmad Ahmad Musadad Akhyak, Akhyak Al Matari, Ali Said Al-Badawi, Habib Al-Matari, Ali Said Ali Said Al Matari Ana Saraya Annisa Mardhatillah Arima, Dewi Atha, Nasruddin Azka Aqiilah Nasywa AS Badawi, Habib Budiyanto Budiyanto Dalimarta, Fahmy Ferdian Daryanti, Naila Widya Dede Nurohman Elisa Novianur Fitriani Fajar Fajar Fitri Dayanti Fitriani, Elisa Novianur Fuadi, Imam Harun, Makmur Hassan Sain, Zohaib Hatimah, Nadiatul Hayat, Eka Wardatul Hendawi, Manal Holis Hurul iinun Intan Purnama Sari Jibril Olaniyi Ayuba Julaiha, Julaiha Jumrah, Siti Kandiri Kholida, Siti Lawal, Uthman Shehu Lina, Masaulina Lisdawati Lisdawati Mandasari, Kiti Mansouri, Mabrouk Chibani Mardani Mardani Mardhatillah, Annisa Maskanah Maskanah Maulidah, Tuhfah Miranda, Andi Muhammad Rusdi Mujamil Qomar Murni Murni N.A, Laila Nana Al Husna Nazla, Siti Ni'am, Syamsun Niam, Syamsun NINGSIH, NINGSIH Nova Tri Prasetiyo Nur Kholis Nur Muhammad Nurul Istiqomah Oktavia, Elsa Dewi opi rohmawati Patimah, Lilis Poniyah Prasetyo, Nova Tri Quratul Aini rahayu, arum putri Rahmawati, Seli Rosmini , Heriyanita Rudi Hermawan S Siswanto Sain, Zohaib Hassan Sanam, Anna Isabela Sara, Yuni Saraya, Ana Shahidul Islam, Mohammad Sholeh, Makherus Siti Mariyani Sri Nurhayati Sri Wahyuni Suparmin Suparmin Suryani, Nyayu Yayu Syahrani Thelma, Chanda Chansa Tri Pujiati Umami, Fitriahul Vargheese, K.J waziroh, iro Winda Cahya Wati Yulianti Zhafirah Dwi Rahayuningtias