Concept Maps are effective tools to represent and share one’s
vision about a particular knowledge domain or topic, in a personal,
graphic and structured way. They are widely used and recommended in
the educational field to both students and teachers. Most of students use
Concept Maps at school, to better represent and share their knowledge,
and to represent learning about a particular topic. Moreover, teachers
take advantage of the potential of Concept Maps, to evaluate students,
also with respect to the occurrence of meaningful learning. Here we propose
a new metrics (the Concept Entropy), devised to provide a teacher
with significant information about the topological placement of concepts
in a Concept Map, and the possible occurrence of meaningful learning.
An experimental activity on a selection of basic Concept Maps structures
shows the usefulness of the new metrics, by comparing it with two
baseline metrics.
Dettaglio pubblicazione
2022, Methodologies and Intelligent Systems for Technology Enhanced Learning, 12th International Conference, Pages 65-74 (volume: 580)
A New Metric to Help Teachers Unveil Meaningful Learning in Concept Maps (04b Atto di convegno in volume)
Fabrizio Fiume Antonio, Sciarrone Filippo, Temperini Marco
ISBN: 978-3-031-20616-0; 978-3-031-20617-7
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