Development of a Word-Level Classification and Vocabulary Learning (WCVL) System

This study aimed to develop a support system to facilitate English vocabulary learning. The Word-level Classification and Vocabulary Learning System (WCVL) was developed utilizing the Waterfall software development methodology, which consists of five stages: requirements analysis, system design, implementation, setup, and evaluation. The NLP-Compromise JavaScript library was used to extract words from an English text using morphological analysis. The extracted vocabulary was also classified by difficulty levels based on the SLV12000 vocabulary database. The system was designed to selectively display words at a higher difficulty level than the student’s estimated vocabulary level. Furthermore, it included the Japanese and Thai meanings of words. The WCVL system provided six types of practices for students to learn new words and collected the vocabulary they had acquired in the personal user’s database. We evaluated the WCVL system after identifying students’ attitudes toward it via an online questionnaire. With the results of this pilot study and the continued use of the WCVL system, it is expected that the WCVL system developed is powerful enough to function as a support system for students in learning and memorizing vocabulary.