Using network science to analyze concept maps of psychology undergraduates

摘要

Network science is an emerging area of complexity science that uses mathematical techniques to study complex systems and could represent a new way of quantifying and investigating the internal structure of domain-specific knowledge as approximated by students' concept maps. Students enrolled in introductory psychology constructed concept maps to represent their understanding of a psychology chapter. Concept networks were constructed based on the concept maps generated by students. Network analysis revealed that the structure of concept networks differed across students (i.e., some networks were better connected than others), and network structure significantly predicted quiz scores, such that concept networks with larger average shortest path lengths (a network metric representing the average of the shortest paths between two nodes in a network) were associated with higher quiz scores, after controlling for network size. This paper illustrates how network science techniques can be used to quantify the conceptual structure of a learner's knowledge.