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An Image-Based Vocabulary Learning System Based on Multi-Agent System | IEEE Conference Publication | IEEE Xplore

An Image-Based Vocabulary Learning System Based on Multi-Agent System


Abstract:

Promoting and developing English language skills are essential for second language learners. This paper presents the design and development of a mobile application for pr...Show More

Abstract:

Promoting and developing English language skills are essential for second language learners. This paper presents the design and development of a mobile application for promoting learners' experiences in learning the English vocabularies by formulating the compound words generated from images. The proposed system is based on the multi-agent system (MAS) covering three main agents: matching learners agent, combination vocabulary agent, and feedback agent. The innovation of the proposed approach is that many learners (matching learners agent) can formulate the new vocabulary that is formed from the combination algorithm (combination vocabulary agent) and learners can experience new vocabulary represented by using the image results (feedback agent). The two experiments of the system performance evaluation are reported. The experimental results show that the performance of the vocabularies' detection and the sub processes execution were achieved the high accuracy.
Date of Conference: 10-12 July 2019
Date Added to IEEE Xplore: 14 October 2019
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Conference Location: Chonburi, Thailand

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