VocaBura

Author:

Hautasaari Ari1,Hamada Takeo1,Ishiyama Kuntaro2,Fukushima Shogo3

Affiliation:

1. Interfaculty Initiative in Information Studies, The University of Tokyo, Hongo, Bunkyo-ku, Tokyo, Japan

2. Graduate School of Information Science and Technology, The University of Tokyo, Hongo, Bunkyo-ku, Tokyo, Japan

3. Interfaculty Initiative in Information Studies, The University of Tokyo, Bunkyo-ku, Tokyo, Japan, PRESTO, Japan Science and Technology Agency (JST), Kawaguchi, Saitama, Japan

Abstract

Learning a new language is difficult and time-consuming. Apart from dedicated classroom study, second language (L2) learners often lack opportunities to switch their attention to vocabulary learning over other daily routines. In this work, we propose a method that enables L2 learners to study new vocabulary items during their dead time, such as when commuting to school or work. We developed a smartphone application, VocaBura, which combines audio learning with location-relevant L1-L2 word pairs to allow users to discover new vocabulary items while walking past buildings, shops and other locations. Our evaluation results indicated that Japanese beginner level English learners were able to retain more vocabulary items with the proposed method compared to traditional audio-based study despite being less aware of L2 vocabulary acquisition having occurred. In our second study, we report on the level of English vocabulary coverage for L2 learning achievable with our proposed method. We discuss several design implications for educational technologies supporting second language learning.

Funder

Japan Science and Technology Agency

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture,Human-Computer Interaction

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. RetAssist: Facilitating Vocabulary Learners with Generative Images in Story Retelling Practices;Designing Interactive Systems Conference;2024-07

2. Relevance, Effort, and Perceived Quality: Language Learners’ Experiences with AI-Generated Contextually Personalized Learning Material;Proceedings of the 2023 ACM Designing Interactive Systems Conference;2023-07-10

3. ARLang: An Outdoor Augmented Reality Application for Portuguese Vocabulary Learning;Proceedings of the 2023 ACM Designing Interactive Systems Conference;2023-07-10

4. VocabulARy: Learning Vocabulary in AR Supported by Keyword Visualisations;IEEE Transactions on Visualization and Computer Graphics;2022-11

5. Experience is the Best Teacher: Personalized Vocabulary Building Within the Context of Instagram Posts and Sentences from GPT-3;Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing;2022-09-11

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