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Nafisah Azka Sabila
Universitas Negeri Jakarta

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Bayang-Bayang Kolonial dan Digital : Model Dakwah Moderasi Ulama Nusantara , Tradisi, dan Ketahanan Nafisah Azka Sabila; Awaliyah Azzahrah Ridwan; Dio Aryansyah; Aura; Abdul Fadhil
Advances In Education Journal Vol. 2 No. 3 (2025): Advances In Education Journal (Desember)
Publisher : Yayasan Al-Afif

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Digitalization encourages the spread of extremism, demanding an adaptive approach to da'wah. This study aims to develop the Moderate Da'wah Communication Model of Nusantara Ulama as a response to the ideological challenges posed by Colonial Shadows and the polarization of the Digital Age. The core issue is identifying communication message traditions and strategies for da'wah resilience. This qualitative study uses literature review, analyzed through the Da'wah Communication framework. Findings show that moderation messages are rooted in Sufism and pesantren ethics, emphasizing Zuhud to control fanaticism. The main model relies on the Salaf Pesantren as an example and Kitab Kuning for message standardization, utilizing a non-confrontational approach. The study's implication is the formulation of a Communal Hybrid Communication Model based on traditional authority and deep literacy, which effectively counteracts digital extremism.
Penerapan Deep learning untuk Menanamkan Nilai Ikhlas dalam Pembelajaran Akidah Akhlak Siswa SMP di Era Digital Nafisah Azka Sabila; Ahmad Bludan Vija; Putri Salma; Ammar; Abdul Fadhil
Advances In Education Journal Vol. 2 No. 3 (2025): Advances In Education Journal (Desember)
Publisher : Yayasan Al-Afif

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Abstract

This study addresses the declining understanding of the value of sincerity among junior high school students, a phenomenon significantly exacerbated by digital culture and the increasing need for external validation. This research aims to formulate a conceptual model for applying a Deep Learning approach to instill the value of sincerity in Aqidah Akhlak instruction, ensuring pedagogical relevance to contemporary students. Employing a literature review method, data were synthesized from academic books, research articles, and credible digital sources. The results indicate that Deep Learning facilitated through critical reflection, experiential analysis, and problem-solving enables students to comprehend sincerity comprehensively while providing teachers with valuable insights into student motivational patterns. This approach makes a positive contribution to the development of a sincere, stable, and contextual religious character. The study concludes that the implementation of Deep Learning is most effective when supported by adequate pedagogical readiness and digital literacy among teachers, offering a viable solution for modern religious education.
Co-Authors Abdul Fadhil Ahmad Bludan Vija Ammar Aura Awaliyah Azzahrah Ridwan Dio Aryansyah Putri Salma