Abstract
We present a novel algorithm for optimizing the order in which Chinese characters are learned, one that incorporates the benefits of learning them in order of usage frequency and in order of their hierarchal structural relationships. We show that our work outperforms previously published orders and algorithms. Our algorithm is applicable to any scheduling task where nodes have intrinsic differences in importance and must be visited in topological order.
Highlights
One of the most fascinating aspects of the Chinese language presents one of the largest barriers to learning it, an irony not lost on generations of students
The question we address is the optimum order in which Chinese characters should be learned
The algorithm has potential applications beyond the learning of Chinese characters, and can be applied to any scheduling task where nodes have intrinsic differences in importance yet must be visited in topological order
Summary
One of the most fascinating aspects of the Chinese language presents one of the largest barriers to learning it, an irony not lost on generations of students. Optimizing the Learning Order of Chinese Characters doi:10.1371/journal.pone.0163623.g001 There are two orders that make intuitive sense: in order of usage frequency, from high to low, and in order of network hierarchy, starting with primitives and building up compound characters using components that have already been learned.
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