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    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/57629

    Title: Personalized Mobile English Vocabulary Learning System Based on Item Response Theory and Learning Memory Cycle,
    Authors: Chen, Chih-Ming
    Chung, Ching-Ju
    Contributors: 政大圖檔所
    Keywords: Mobile learning;Personalized learning;English vocabulary learning;Item response theory;Learning memory cycle
    Date: 2008-09
    Issue Date: 2013-04-15 11:02:12 (UTC+8)
    Abstract: Since learning English is very popular in non-English speaking countries, developing modern assisted-learning tools that support effective English learning is a critical issue in the English-language education field. Learning English involves memorization and practice of a large number of vocabulary words and numerous grammatical structures. Vocabulary learning is a principal issue for English learning because vocabulary comprises the basic building blocks of English sentences. Therefore, many studies have attempted to improve the efficiency and performance when learning English vocabulary. With the accelerated growth in wireless and mobile technologies, mobile learning using mobile devices such as PDAs, tablet PCs, and cell phones has gradually become considered effective because it inherits all the advantages of e-learning and overcomes limitations of learning time and space that limit web-based learning systems. Therefore, this study presents a personalized mobile English vocabulary learning system based on Item Response Theory and learning memory cycle, which recommends appropriate English vocabulary for learning according to individual learner vocabulary ability and memory cycle. The proposed system has been successfully implemented on personal digital assistant (PDA) for personalized English vocabulary learning. The experimental results indicated that the proposed system could obviously promote the learning performances and interests of learners due to effective and flexible learning mode for English vocabulary learning.
    Relation: Computers & Education, 51(2), 624-645.
    Data Type: article
    DOI 連結: http://dx.doi.org/http://dx.doi.org/10.1016/j.compedu.2007.06.011
    DOI: 10.1016/j.compedu.2007.06.011
    Appears in Collections:[圖書資訊與檔案學研究所] 期刊論文

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