An SVG-Based Approach for the Development of a Kanji Auto Assessment System

This paper proposes a vector-graphic approach to designing a kanji assessment system for enhancing instructional practices in Japanese language education. The study details the prototype of an experimental web application, built on a vector-graphics dataset, which captures kanji strokes in real time and compares learner-produced characters against reference models to generate efficacy scores. It also showcases the pedagogical versatility of animated stroke guidance for reinforcing correct writing procedures. Advantages (including potential Chinese support) and limitations are discussed considering practical benefits and appropriate use contexts.