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Bibliometric analysis of deep learning research trends as a pedagogical approach to science learning in elementary schools (2021–2025) Handayani, Mega Setya; Warohmah, Mawaddah; Mahmudah, Umi
Jurnal Penelitian Ilmu Pendidikan Vol. 18 No. 2 (2025): September-November
Publisher : Fakultas Ilmu Pendidikan, Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jpip.v18i2.94621

Abstract

The dynamics of education in the 21st century demand a pedagogical transformation towards holistic competency development. This study aims to analyze the research trend of Deep Learning as a pedagogical approach to social studies learning in elementary schools. Using bibliometric methods, this study mapped the intellectual structure of 574 scientific articles (2021–2025) sourced from Google Scholar through the Publish or Perish software and VOSviewer. The results of the network visualization analysis identified five main clusters that showed a shift in focus from the technical aspects of computing towards the integration of intelligent technologies in classroom practice. The publication trend jumped significantly after 2023, with the latest topics focusing on critical thinking, creativity, and artificial intelligence (AI) literacy. Density analysis reveals research gaps: the literature is dominated by science and STEM content, with little exploration of the social dimension (social studies) or local wisdom. This research concludes that Deep Learning has developed into a technological entity that supports the achievement of the 8 Dimensions of the Graduate Profile through the principles of mindful, meaningful, and joyful learning. The practical implications provide guidance for educators to integrate technology scaffolding with in-depth inquiry, shaping adaptive lifelong learners in the era of disruption.
Integration of Deep Learning in IPAS Learning Models Based on Project-Based Learning in Elementary Schools Warohmah, Mawaddah; Handayani, Mega Setya; Romiana, Diah; Mahmudah, Umi
Social Journal of Studies in Education Vol. 2 No. 01 (2026): Article In Press
Publisher : Yayasan Pendidikan Haiba Nasywa in cooperation with Pesantren Wahdatul Ulum Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Pergeseran paradigma dalam pendidikan abad ke-21 membutuhkan transformasi pembelajaran sains, teknologi, teknik, dan matematika (STEM) di sekolah dasar sehingga tidak lagi hanya tentang menghafal fakta, tetapi lebih berfokus pada pemahaman konseptual yang mendalam dan penguasaan keterampilan berpikir kritis. Studi ini bertujuan untuk mengembangkan model konseptual yang menjelaskan bagaimana integrasi prinsip-prinsip pedagogi Deep Learning dapat memperkuat model PjBL dalam pembelajaran sains di tingkat sekolah dasar. Metode yang digunakan adalah riset pustaka dengan teknik analisis konten pada artikel ilmiah, prosiding, dan laporan penelitian dari basis data Google Scholar, Garuda, dan DOAJ. Analisis dilakukan melalui tahapan kategorisasi, sintesis, dan interpretasi aspek implementasi Deep Learning dan PjBL. Hasil penelitian menunjukkan bahwa integrasi Deep Learning dalam PjBL-IPAS menghasilkan sinergi optimal yang menggabungkan dimensi konseptual (kedalaman materi), dimensi sosial (kolaborasi), dan dimensi afektif (manajemen emosi). Kesimpulan dari penelitian ini menegaskan bahwa integrasi Deep Learning dalam PjBL-IPAS merupakan sintesis efektif yang sejalan dengan semangat Kurikulum Merdeka. Sebagai rekomendasi, penelitian empiris lebih lanjut di bidang ini diperlukan untuk menguji efektivitas model konseptual ini dan untuk mengembangkan alat pembelajaran praktis bagi guru di kelas.