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<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://repozitorij.uni-lj.si/IzpisGradiva.php?id=172853"><dc:title>Scientific landscape of inclusive knowledge management processes in STEM education</dc:title><dc:creator>Fujs,	Damjan	(Avtor)
	</dc:creator><dc:creator>Becevel,	Anna	(Avtor)
	</dc:creator><dc:creator>Doyle,	Paul	(Avtor)
	</dc:creator><dc:creator>Gillespie,	Brian	(Avtor)
	</dc:creator><dc:creator>Hovelja,	Tomaž	(Avtor)
	</dc:creator><dc:creator>Rocha,	Mariana	(Avtor)
	</dc:creator><dc:creator>Rivera,	Claudia	(Avtor)
	</dc:creator><dc:subject>text mining</dc:subject><dc:subject>clustering approach</dc:subject><dc:subject>teaching</dc:subject><dc:subject>learning</dc:subject><dc:subject>inclusion</dc:subject><dc:subject>bibliometric analysis</dc:subject><dc:description>Education is one of the fundamental societal values. Therefore, it is crucial that every student, including those with learning difficulties and disabilities, has access to quality education. This paper aims to provide a comprehensive visual overview of scientific publications focused on inclusivity in STEM education. A total of N = 1263 records were retrieved from the Scopus academic database on 16 July 2024. Data were analyzed using VOSviewer software, employing bibliometric mapping techniques such as co-occurrence and co-citation analysis. The co-occurrence analysis (all keywords) revealed seven distinct clusters, while the co-citation analysis (journal publications) identified four. Our approach uses both quantitative and qualitative methods and is also applicable to other areas.</dc:description><dc:date>2025</dc:date><dc:date>2025-09-11 14:38:22</dc:date><dc:type>Članek v reviji</dc:type><dc:identifier>172853</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
