eprintid: 53009
rev_number: 6
eprint_status: archive
userid: 3789
dir: disk0/00/05/30/09
datestamp: 2026-07-17 02:02:27
lastmod: 2026-07-17 02:02:27
status_changed: 2026-07-17 02:02:27
type: article
metadata_visibility: show
creators_name: Salsabila, Nurul Mawadah
creators_name: lismawati, lismawati
creators_id: lismawati@uhamka.ac.id
title: Mapping the Landscape of Deep Learning in Meaningful Principles: A Decade-Long Bibliometric Review (2015–2025)
ispublished: pub
subjects: A
divisions: 86208
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 movementtoward 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.
date: 2026-04-20
date_type: published
official_url: https://e-journal.undikma.ac.id/index.php/pedagogy/article/view/19158
full_text_status: public
publication: Mapping the Landscape of Deep Learning in Meaningful Principles: A Decade-Long Bibliometric Review (2015–2025)
volume: 13
number: 2
pagerange: 779-789
refereed: TRUE
citation:   Salsabila, Nurul Mawadah dan lismawati, lismawati  (2026) Mapping the Landscape of Deep Learning in Meaningful Principles: A Decade-Long Bibliometric Review (2015–2025).  Mapping the Landscape of Deep Learning in Meaningful Principles: A Decade-Long Bibliometric Review (2015–2025), 13 (2).  pp. 779-789.      
document_url: http://repository.uhamka.ac.id/id/eprint/53009/1/Nurul%20Salsabila.pdf