Computer assisted vocabulary learning: Design and evaluation
Computer assisted vocabulary learning: Design and evaluation
复制标题
计算机辅助词汇学习：设计和评估
DOI：
10.1080/09588220600803998
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发表时间：
2006
影响因子：
7
通讯作者：
P. Kelly
中科院分区：
文献类型：
--
作者：
Qing Ma;P. Kelly
本文重点关注计算机辅助词汇学习（CAVL）软件“悟饭”（WUFUN）的设计与评估。它借鉴了词汇习得和计算机辅助语言学习（CALL）的当前研究成果，旨在帮助中国大学生提高其英语词汇学习能力，尤其是他们觉得最困难的部分。文中提出词汇应通过显性和隐性两种方式学习；学习者需要接受培训以成为优秀的学习者，例如，通过学习有用的学习策略，使他们能够更高效地学习词汇。构建了一个计算机辅助语言学习效能的设计模型，以确保计算机辅助语言学习项目中词汇学习的质量；该模型被应用于“悟饭”软件的设计中。最后，报告并讨论了软件评估的初步结果。
This paper focuses on the design and evaluation of the computer-assisted vocabulary learning (CAVL) software WUFUN. It draws on the current research findings of vocabulary acquisition and CALL, aiming to help Chinese university students to improve their learning of English vocabulary, particularly that with which they experience most difficulty. It is argued that vocabulary should be learned explicitly as well as implicitly; learners need to be trained to become good learners, e.g., by being instructed in useful learning strategies, to enable them to learn vocabulary more efficiently and effectively. A design model of CALL efficacy is constructed to ensure the quality of vocabulary learning in CALL programs; it is employed in the design of the software WUFUN. Finally, the preliminary results of the software evaluation are reported and discussed.