A Study on Evolutionary Law of Conceptual Networks in the Collaborative Knowledge Creation Process of Connectivist Learning Communities

Abstract

The proposal of Connectivism learning theory responds to the learning patterns and talent cultivation principles in the intelligent era. Collaborative knowledge creation through large-scale interaction among groups constitutes the key to sustaining Connectivist learning, with conceptual networks serving as the most direct manifestation of individual and collective cognition. This study aims to explore the evolutionary patterns of conceptual networks in Connectivist learning by analyzing learner interaction data from cMOOCs, thereby deepening our understanding of Connectivist learning principles and their applications in intelligent educational scenarios. The research reveals that the synergistic interaction of "concept-person-technology" networks forms a knowledge creation ecosystem, where technological networks establish the learning environment while social networks act as a "bridge" providing contextual support for knowledge creation. Knowledge creation initiates from non-consensus perspectives and problem awareness, with its outcomes paradoxically serving both as the culmination and genesis of new learning cycles.