淡江大學機構典藏:Item 987654321/107491
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 62819/95882 (66%)
造访人次 : 4005750      在线人数 : 413
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/107491


    题名: Mobile Game-based Learning for University Students
    作者: Huang, Yulan;Chang, Dian-Fu
    关键词: apps;mobile-learning;game-based learning;fuzzy nonparametric test
    日期: 2016-07-13
    上传时间: 2016-09-14 02:10:44 (UTC+8)
    摘要: This study aims to establish the relationship between university students’ motivation and how much they actually practice when learning English vocabulary using apps downloaded onto their mobile devices. The focus group, comprising 30 freshman students at Yuan Ze University, participated in this empirical study during the first semester of the 2015 academic year. The data collected from the questionnaires were analyzed by fuzzy nonparametric tests, including the Wilcoxon Sign Rank Test, the Wilcoxon Rank-Sum Test and the Kruskal-Wallis Test. The findings show how the focus group learned English vocabulary using the apps downloaded onto their smart phones. First, the participants were willing to use smart phone apps for academic purposes. Secondly, the variables of gender and faculty registration did not influence how much time was spent on these two games, indicating that mobile game-based learning can be implemented as a learning strategy for most university students. Finally, it was shown that the more time students spent playing English vocabulary games, the better their progress was compared with students who spent less time playing the games.
    關聯: Proceeding
    显示于类别:[教育政策與領導研究所] 會議論文

    文件中的档案:

    没有与此文件相关的档案.

    在機構典藏中所有的数据项都受到原著作权保护.

    TAIR相关文章

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回馈