基于学习分析的电子书和推荐平台的英语词汇学习

Kensuke Takii, B. Flanagan, H. Ogata
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引用次数: 2

摘要

作为一名外语学习者,学习词汇是一项至关重要但具有挑战性的活动,而计算机辅助语言学习可以促进这一过程。此外,电子学习作为一种新技术,能够提供传统学习系统无法提供的教育支持,正受到人们的广泛关注。推荐系统的实施一直受到讨论。在本研究中,我们提出了一个全面的基于学习分析的高效词汇学习平台,包括电子书阅读器和书籍/测验推荐。该平台上的系统根据学习者的活动对学习者的知识进行估算,并为学习者提供个性化的推荐和推荐依据。此外,该平台还为教师提供了关于推荐和学生学习参与度的可视化反馈。
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EFL Vocabulary Learning Using a Learning Analytics-based E-book and Recommender Platform
Learning vocabulary is a crucial but challenging activity for English as a foreign language learners, and computer-assisted language learning can facilitate this process. Moreover, e-learning is attracting a great deal of attention as a new technology to bring educational support which traditional learning systems cannot provide. Recommender systems as its implementation have been subject to discussion. In this study, we propose a comprehensive learning analytics-based platform for efficient vocabulary learning, including an e-book reader and a book/quiz recommender. The system on this platform estimates learners’ knowledge based on their activities and brings personalized recommendation and its bases to the learners. Also, this platform provides teachers with visualized feedback regarding the recommendation and students’ engagement in learning.
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