Artículo

Human Rights Education In Basic Education: Scientific Production Indicators

Resumen

Human Rights Education (HRE) has been the object of study, investigation, struggle and resistance. In Brazil, the National HRE Plan represented an achievement in the prerogatives dissemination related to human dignity and citizenship formation for the democratic experience. In view of the multiple analytical potentialities, this paper aimed to build indicators of Brazilian scientific production on HRE in Basic Education, considering the papers published in two databases, recognized for their relevance and reach, the of Journals Platform of the Coordination for the Improvement of Higher Education Personnel (CAPES) and Scientific Electronic Library Online (SciELO). The methodology was based on bibliometric analysis, with data collect, through descriptors, on digital platforms and information recording in spread-sheet format of Excel software and subsequent elaboration of graphics with indicators. The results, which covered publications from 2004 to 2019, mostly from the CAPES database, pointed to a concentration of research in the Southeast region; the prevalence of work in female co-authorship; the greater use of indirect sources; that “human rights” was the keyword with the highest incidence; and curriculum the most recurring theme in articles about EDH in Basic Education. It is expected that the study contributes to the understanding of scientific production in the area and promotes the construction of researches that go deepen and expand the knowledge related to HRE in Basic Education.
Hidayat, Erwin Yudi (57205439013); Hastuti, Khafiizh (56485990500); Muda, Azah Kamilah (23390362900)
Artificial intelligence in digital image processing: A bibliometric analysis
2025
10.1016/j.iswa.2024.200466
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212984349&doi=10.1016%2fj.iswa.2024.200466&partnerID=40&md5=14c2a82f6cb46e9efa80c050fc79c24f
Faculty of Computer Science, Universitas Dian Nuswantoro, Semarang, 50131, Indonesia; Dinus Research Group for AI in Medical Science (DREAMS), Universitas Dian Nuswantoro, Semarang, 50131, Indonesia; Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Melaka, 76100, Malaysia
All Open Access; Gold Open Access
Scopus
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