Japanese / English

Detail of Publication

Text Language English
Authors Yuichiro Iwashita, Andrew Vargo, Motoi Iwata, Koichi Kise
Title Personalizing Augmented Flashcards Towards Long-Term Vocabulary Learning
Book_Title Proceedings of the Augmented Humans International Conference 2024
Series AHs '24
Pages pp.263-266
Number of Pages 4 pages
Publisher Association for Computing Machinery
Address New York, NY, USA
Location Melbourne, VIC, Australia
Reviewed or not Reviewed
Presentation type Poster
Month & Year April 2024
Abstract Flashcards are one of the most popular tools for learning vocabulary for second-language learners. While flashcard mediated learning is efficient, it may not induce motivation for continued use. Some researchers have proposed augmented flashcards that provide multimedia contexts to motivate people to study. However, the augmented flashcards also have a problem that it takes time to learn each target word. Understanding this tradeoff, we introduce a system that users can learn vocabulary with both standard and augmented flashcards. In addition, our system recommends the best learning strategy to users adaptively, and realizes the long-term vocabulary learning. In this paper, we describe the system and present the results of the preliminary data analysis towards the long-term vocabulary learning.
DOI 10.1145/3652920.3653045
URL https://doi.org/10.1145/3652920.3653045
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