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Mapping the Landscape of Deep Learning in Meaningful Principles: A Decade-Long Bibliometric Review (2015–2025) Salsabila, Nurul Mawadah; Lismawati
Jurnal Paedagogy Vol. 13 No. 2 (2026): April
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jp.v13i2.19158

Abstract

This study aims to explore how Deep Learning (DL) contributes to meaningful learning in response to the increasing demand for ethical, transparent, and student-centered applications of Artificial Intelligence (AI) in education. The study employs a bibliometric analysis of 110 Scopus-indexed publications published between 2015 and 2025, using Biblioshiny in the R Bibliometrix package to identify research trends, key contributors, institutional productivity, and thematic developments. The analysis encompasses publication trends, citation patterns, author and country productivity, collaboration networks, and keyword co-occurrence. The findings indicate that, although the majority of studies originate from computer science and engineering, there has been a growing shift toward education and the social sciences, reflecting an increasingly interdisciplinary orientation, particularly after 2020. Emerging themes such as explainable AI, adaptive learning, and ethical AI suggest a transition from technology-driven innovation toward pedagogy-oriented and ethically grounded practices. Keyword co-occurrence analysis reveals three dominant thematic clusters: (1) explainable AI in pedagogy, (2) adaptive learning systems, and (3) ethical and human-centered AI in education. This shift reflects a broader movement toward human-centered AI that enhances learning relevance, personalization, and engagement. Overall, the integration of DL in education is evolving beyond technical efficiency to support meaningful, ethical, and learner-centered educational experiences.
A Bibliometric Analysis of Policy-Driven Religious Moderation Education Research in Indonesia: Trends, Evolution, and Research Landscape Saibudin, Ahmad; Lismawati
Jurnal Paedagogy Vol. 13 No. 2 (2026): April
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jp.v13i2.19221

Abstract

This study systematically maps the intellectual landscape of religious moderation education in Indonesia by analyzing publication growth, identifying key influential actors, and tracing thematic evolution in order to provide a strategic theoretical framework for inclusive Islamic education policy. A bibliometric approach was employed, analyzing metadata from 149 Scopus-indexed articles published between 2015 and 2025. The results indicate that the discourse has reached a stage of “policy-driven maturity,” characterized by an exponential increase in publications after 2020, largely in response to national policy mandates. Thematic analysis reveals a core dualism between the “Education Implementation” and “Policy Response” clusters, illustrating how government directives are translated into pedagogical strategies. However, the findings also highlight a pronounced “silo effect” in institutional collaboration, primarily driven by localized and competitively allocated research funding schemes (e.g., BOPTN and Litapdimas), which limit cross-institutional synergy. This study concludes that research on religious moderation in Indonesia is systematically shaped by government policy and contributes significantly to the achievement of SDG 4 (Quality Education). Nevertheless, stronger cross-institutional collaboration is essential to sustain and further develop inclusive educational frameworks.