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All Journal DIDAKTIKA: Jurnal Pendidikan Sekolah Dasar JURNAL PENELITIAN ILMU PENDIDIKAN
Mawaddah Warohmah
UIN K.H. Abdurrahman Wahid Pekalongan
Decision Sciences, Operations Research & Management Education Social Sciences

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Bibliometric analysis of deep learning research trends as a pedagogical approach to science learning in elementary schools (2021–2025) Mega Setya Handayani; Mawaddah Warohmah; Umi Mahmudah
Jurnal Penelitian Ilmu Pendidikan Vol. 18 No. 2 (2025): July–December
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.
The Pedagogical Relevance of the Deep Learning Approach to the Formation of the Eight Dimensions of Graduate Profiles in Elementary School Learning Mega Setya Handayani; Mawaddah Warohmah; Mochammad Achwan Baharudin; Ibrahim Pandu Ame
DIDAKTIKA: Jurnal Pendidikan Sekolah Dasar Vol. 8 No. 2 (2025): VOLUME 8, NUMBER 2, 2025
Publisher : Program Studi PGSD, Fakultas Ilmu Pendidikan, Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/didaktika.v8i2.94404

Abstract

This research is prompted by the low literacy, numeracy, and science skills of Indonesian students, as indicated by 2022 PISA scores, which suggest a dominance of Lower Order Thinking Skills (LOTS). As a strategic solution, the Ministry of Elementary and Secondary Education (Kemendikdasmen) introduced the Deep Learning approach in 2025 as a new paradigm to enhance educational quality. This study aims to explore the fundamental concepts of Deep Learning in elementary education and analyze its pedagogical relevance to the eight dimensions of the graduate profile. Using a library research method, analyzing 27 recent literature sources, the findings show that Deep Learning, anchored on the pillars of Mindful, Meaningful, and Joyful, is highly relevant in holistically integrating cognitive, affective, and spiritual domains. This approach successfully shifts learning orientation from mere content completion to the development of profound learning experiences. The study confirms that Deep Learning serves as a strategic operational mechanism for producing intelligent, character-driven graduates. The study recommends that educators reorient their roles as learning experience designers and calls for technical policy support to facilitate reflective classroom practices, bridging the gap between conceptual understanding and actual implementation in elementary schools.
Co-Authors Ibrahim Pandu Ame Mega Setya Handayani Mochammad Achwan Baharudin Umi Mahmudah