A New Metric to Help Teachers Unveil Meaningful Learning in Concept Maps

被引:4
|
作者
Fiume, Antonio Fabrizio [1 ]
Sciarrone, Filippo [1 ]
Temperini, Marco [2 ]
机构
[1] Univ Mercatorum, Fac Econ, Piazza Mattei 10, Rome, Italy
[2] Sapienza Univ Rome, Dept Comp Control & Management Engn, Via Ariosto 25, Rome, Italy
关键词
Concept Maps; Meaningful learning; Concept maps metrics;
D O I
10.1007/978-3-031-20617-7_9
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
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页码:65 / 74
页数:10
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