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All Journal SYAMIL: Jurnal Pendidikan Agama Islam (Journal of Islamic Education) International Journal of Social Learning (IJSL) SYAMIL: JURNAL PENDIDIKAN AGAMA ISLAM (JOURNAL OF ISLAMIC EDUCATION)
Al Matari, Ali Said
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Religion Arts Humanities Education Environmental Science Library & Information Science Social Sciences Other

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Uniting Science and Faith: A Re-STEAM Interdisciplinary Approach in Islamic Education Learning Adiyono, Adiyono; Fitri, Agus Zaenul; Al Matari, Ali Said
International Journal of Social Learning (IJSL) Vol. 4 No. 3 (2024): August
Publisher : Indonesian Journal Publisher in cooperation with Indonesian Social Studies Association (APRIPSI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/ijsl.v4i3.281

Abstract

This study explores the effective Re-STEAM (Religion, Science, Technology, Engineering, Arts, and Mathematics) interdisciplinary approach in teaching Islamic Religious Education (PAI) at SDIT Al-Khawarizmi and SDN 031 Tanah Grogot, Indonesia. The research addresses the need to revitalize PAI learning by integrating it with other disciplines, particularly science and technology. Using qualitative methods with a phenomenological approach and Multi-Site Design, the study investigates the impact of Re-STEAM on student learning outcomes. Results indicate that this approach significantly enhances students' learning motivation, critical thinking skills, and understanding of PAI materials. Integrating science and faith through Re-STEAM helps students apply Islamic values daily and prepares them for 21st-century challenges. Moreover, it demonstrates that modern science complements religious teachings, fostering a balanced development of intellectual, emotional, and spiritual intelligence. The findings suggest that the Re-STEAM approach effectively combines academic competence with strengthened faith and character, aligning with the core principles of Islamic education.
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.
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.
Co-Authors Adiyono Agus Zaenul Fitri Budiyanto Budiyanto Dalimarta, Fahmy Ferdian