An Image-Based Vocabulary Learning System Based on Multi-Agent System
© 2019 IEEE. 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 f...
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th-mahidol.506272020-01-27T15:25:06Z An Image-Based Vocabulary Learning System Based on Multi-Agent System Preecha Tangworakitthaworn Preeyapol Owatsuwan Nutsima Nongyai Nongnapas Arayapong Mahidol University Computer Science Decision Sciences © 2019 IEEE. 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. 2020-01-27T08:19:23Z 2020-01-27T08:19:23Z 2019-07-01 Conference Paper JCSSE 2019 - 16th International Joint Conference on Computer Science and Software Engineering: Knowledge Evolution Towards Singularity of Man-Machine Intelligence. (2019), 324-329 10.1109/JCSSE.2019.8864170 2-s2.0-85074222613 https://repository.li.mahidol.ac.th/handle/123456789/50627 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85074222613&origin=inward |
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Computer Science Decision Sciences Preecha Tangworakitthaworn Preeyapol Owatsuwan Nutsima Nongyai Nongnapas Arayapong An Image-Based Vocabulary Learning System Based on Multi-Agent System |
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© 2019 IEEE. 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. |
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Mahidol University |
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Mahidol University Preecha Tangworakitthaworn Preeyapol Owatsuwan Nutsima Nongyai Nongnapas Arayapong |
format |
Conference or Workshop Item |
author |
Preecha Tangworakitthaworn Preeyapol Owatsuwan Nutsima Nongyai Nongnapas Arayapong |
author_sort |
Preecha Tangworakitthaworn |
title |
An Image-Based Vocabulary Learning System Based on Multi-Agent System |
title_short |
An Image-Based Vocabulary Learning System Based on Multi-Agent System |
title_full |
An Image-Based Vocabulary Learning System Based on Multi-Agent System |
title_fullStr |
An Image-Based Vocabulary Learning System Based on Multi-Agent System |
title_full_unstemmed |
An Image-Based Vocabulary Learning System Based on Multi-Agent System |
title_sort |
image-based vocabulary learning system based on multi-agent system |
publishDate |
2020 |
url |
https://repository.li.mahidol.ac.th/handle/123456789/50627 |
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1763489531935326208 |