The Implementation of a Self-Paced Learning System Based on Ontology

• Main Authors: Bang-Cheng Wu, 吳邦誠
• Other Authors: Shau-Feng Chiou
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/05322102032117293718

碩士 === 大葉大學 === 資訊工程學系碩士班 === 101 === Learning English becomes a trend because the language plays an important role in both business communication and information delivery. Vocabulary is the fundamental composition of sentences and articles. Vocabulary is especially important in in all respects of the learning process. The conventional way to increase vocabulary is to recite the words repeatedly until they have been memorized thoroughly. Though this creates a temporary imprint in the reader’s memory, yet some of them could be forgotten due to few usage of them and no relationships among the words. 　　In this research, we implement a self-learning system for vocabulary based on the idea of ontology. In ontology, everything in the real world is conceptualized and given an explicit and formal description. Concepts relate to each other through correlations that describe the relationships among concepts. In our system, we map English words to the concepts and build the correlations among them. Users can select a set of words to memorize, in which there are pre-defined relationships among them. The system also generates practices according to the words to deepen the users’ memory of the words.