Smart dictionary for e-book reading analytics

Louis Lecailliez, B. Flanagan, Mei-Rong Alice Chen, H. Ogata
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引用次数: 3

Abstract

Reading, be it intensive or extensive, is one of the key skills required to master English as a foreign language (EFL) learner. Computerized e-book systems provide convenient access to learning materials inside and outside class. Students may regularly check the meaning of a word or expression using a separate tool to progress on their reading, which is not only disruptive but can lead to other learning problems. An example of a particular issue faced in EFL is when a student learns an inappropriate meaning of a polysemous word for the context in which it is presented. This is also a problem for teachers as they often need to investigate the cause. In this paper, we propose a smart dictionary integrated into an e-book reading platform. It allows the learner to search and note word definitions directly with the purpose of reducing context switching and improve vocabulary retention. Finally, we propose that learner interactions with the system can be analyzed to support EFL teachers in identifying possible problems that arise through dictionary use while reading.
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智能词典电子书阅读分析
阅读,无论是精读还是泛读,都是作为外语学习者掌握英语的关键技能之一。电脑化的电子图书系统为课堂内外的学习资料提供了方便。学生可能会定期使用一个单独的工具来检查单词或表达的意思,以推进他们的阅读,这不仅是破坏性的,而且可能导致其他学习问题。英语学习中面临的一个特殊问题是,当学生学习到一个多义词的意思与它所呈现的上下文不合适时。这对教师来说也是一个问题,因为他们经常需要调查原因。本文提出了一种集成在电子书阅读平台中的智能词典。它允许学习者直接搜索和记录单词定义,目的是减少上下文切换,提高词汇记忆。最后,我们建议分析学习者与系统的互动,以帮助英语教师识别在阅读时使用词典可能出现的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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