ABSTRACT
Concept maps, visual representations of knowledge, are used
in an educational context as a way to represent students’
knowledge, and identify mental models of students; how-
ever there is a limitation of using concept mapping due to
its difficulty to evaluate the concept maps. A concept map
has a complex structure which is composed of concepts and
their relationships that often have a weighted direction. This
work explores the feasibility of the analysis of concept maps
using data mining methods, and investigate the possibility of
using concept maps as a research tool to understand college
student’s learning. A total of 111 college students partic-
ipated in this study. The findings from frequent concept
mining and sub-concept map mining suggest that students
expect a traditional way of learning. The study also shows
a promising area of further study in the area of data mining
in education.