In this study, we develop a parsimonious set of quantities to characterise and evaluate the quality of concept maps. We show how such a set can be based on measurements of the connectivity, clustering and cohesion of concept maps. A structural model of the data is introduced so that concept maps can be evaluated and classified by using only two quantities called here richness of content (d) and quality of structure (q). The model is used in monitoring changes in the concept maps (N=33) consisting of two sets of maps (initial and final ones), made before and after instruction. We show that such an approach gives access to monitor structural changes of the concept maps during the instruction.
|Titel på gästpublikation||Annual Symposium of the Finnish Mathematics and Science Education Research Association : Integrating Research into Mathematics and Science Education in the 2010s|
|Redaktörer||Harri Silfverberg, Jorma Joutsenlahti|
|Status||Publicerad - 2011|
|MoE-publikationstyp||A4 Artikel i en konferenspublikation|
|Evenemang||Annual Symposium of the Finnish Mathematics and Science Education Research Association - Tampere, Finland|
Varaktighet: 14 okt 2010 → 15 okt 2010
- 114 Fysik