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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://revis.openscience.si/IzpisGradiva.php?id=12245"><dc:title>Learning Analytics: A Case Study on Exploring Social Interaction and Problem-Solving Strategies</dc:title><dc:creator>Grubelnik,	Vladimir	(Avtor)
	</dc:creator><dc:creator>Rizman Herga,	Nataša	(Avtor)
	</dc:creator><dc:creator>Brumen,	Mihaela	(Avtor)
	</dc:creator><dc:creator>Marhl,	Marko	(Avtor)
	</dc:creator><dc:creator>Dinevski,	Dejan	(Avtor)
	</dc:creator><dc:subject>learning analytics</dc:subject><dc:subject>social interaction</dc:subject><dc:subject>problem-solving</dc:subject><dc:description>Purpose: The purpose of this study is to preliminarily verify the concept of personalised and collaborative learning and to formatively observe students' knowledge, skills, problem-solving strategies and social dynamics in the classroom.
Study design/methodology/approach: The study was conducted with 8th grade students (N=21) using the ClassRoom Analytica (CRA) application as part of a thematic unit on ionic bonds. Students participated in digitally facilitated group problem-solving activities guided by predefined parameters for accessing information.
Findings: The use of the CRA application proved highly beneficial in a heterogeneous class as it was responsive to all students and provided the teacher with detailed information about each individual’s role within the class.
Originality/value: This study presents CRA as a novel integration of learning analytics and domain-specific visualisations in the science classroom.

</dc:description><dc:date>0</dc:date><dc:date>2025-09-19 13:47:26</dc:date><dc:type>Članek v reviji</dc:type><dc:identifier>12245</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
