A Complex Hierarchical Framework of Learning

This chapter introduces a complex hierarchical network framework of learning drawing from developmental psychology, computational biology, instructional design, cognitive science, complexity, and sociocultural theory. As a tri-level network of entities and relationships (i.e. nodes and edges of a network), the model includes a causal mechanism of learning with strong domain generality that is extended to perspectives on learning processes in micro, meso, and macro level clusters. The model’s edges represent influence pathways for aggregation and dissipation of the energy and information of learning within and across the levels by individuals, expert groups, and interdisciplinary communities.