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All Journal Pendas : Jurnah Ilmiah Pendidikan Dasar Edukasi Elita : Jurnal Inovasi Pendidikan
Shifa Aulia Salsabila
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Education Languange, Linguistic, Communication & Media Mathematics Other

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Model Pembelajaran Inovatif berbasis Deep learning untuk Meningkatkan Kualitas Praktik Profesional Guru Shifa Aulia Salsabila; Nabila Azzahra; Ahmad Zainuri; Frika Fatimah Zahra
Edukasi Elita : Jurnal Inovasi Pendidikan Vol. 3 No. 2 (2026): April: Edukasi Elita : Jurnal Inovasi Pendidikan
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/edukasi.v3i2.3070

Abstract

This reseach aims to analyze the role of an innovative deep learning-based instructional model in enhancing students’ conceptual understanding, critical thinking skills, and active engagement during classroom learning processes. The rapid development of educational technology currently demands continuous innovation in instructional practices, particularly to improve teacher quality and professionalism in addressing the challenges of the 21st century. To achieve this objective, this research employed a qualitative method with a literature review approach. Data were collected through a systematic review of various national journals, international journals, books, and relevant scholarly sources published within the last ten years. The findings indicate that the implementation of a deep learning-based instructional model can significantly enhance teachers’ creativity in designing instructional strategies, strengthen the effectiveness of the learning process, and improve the quality of teacher-student interaction. Furthermore, this approach encourages teachers to become more adaptive to digital technological advancements and more responsive to the diversity of students’ needs and learning styles. Therefore, the deep learning-based instructional model can serve as a strategic and sustainable solution for improving teachers’ professional practices in the modern education era.
STRATEGI PENGELOLAAN PEMBELAJARAN PENDIDIKAN ANAK USIA DINI PADA ERA ARTIFICIAL INTELLIGENCE Jummiana; Shifa Aulia Salsabila
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 03 (2026): Volume 11 Nomor 03, September 2026 Verified
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i03.61551

Abstract

This study concludes that the integration of artificial intelligence (AI) into Early Childhood Education (ECE) yields significant positive impacts on the effectiveness of cognitive stimulation, child engagement, and personalized learning—evidenced by a 15% increase in learning outcomes and a 20% rise in motivation. AI utilization has also enhanced inclusivity for children with special needs through interactive features such as voice recognition. However, successful implementation is not determined solely by technological sophistication; rather, it relies heavily on teachers' readiness to manage digital literacy and child data protection, as well as the availability of adequate infrastructure. The gap between expectations and operational realities remains a fundamental obstacle. Therefore, this study recommends a holistic approach balancing three key pillars: strengthening educators' digital competencies, ensuring equitable infrastructure provision, and establishing transparent data protection policies. The teacher's role must evolve into that of a humanistic learning curator, with AI serving as a catalyst—rather than a substitute—for pedagogical interaction. Moving forward, cross-sector synergy and longitudinal research on long-term socio-emotional impacts are crucial agendas for realizing an adaptive, inclusive, and child-centered ECE ecosystem.
Co-Authors Ahmad Zainuri Frika Fatimah Zahra Jummiana Nabila Azzahra