Educational concept mapping method based on high-frequency words and Wikipedia linkage

Abstract

We propose a computational method to support the learner's knowledge adoption based on conceptmapping relying on three perspectives of learning scenario represented by learning concept networks:learner’s knowledge, learning context and learning objective. Each learning concept network isgenerated based on a set of high-frequency words from a representative text sample that are connectedbased on the shortest hyperlink chains between corresponding Wikipedia articles. The learner exploresranking-based routings connecting learning concept networks by expanding a concept map in twocomplementing learning modes: assisted construction and assistive evaluation, with focused andcontextualized emphasis. Based on the method we have implemented a prototype of an educational tooland its preliminary testing indicated that the method can well support personalized knowledge adoption.