Mobile augmented reality for Japanese vocabulary and hiragana letters learning with mnemonic method

Safitri, Riri and Muslima, Resnia Trya and Herlina, Sandra (2023) Mobile augmented reality for Japanese vocabulary and hiragana letters learning with mnemonic method. In: 2022 Seventh International Conference on Informatics and Computing (ICIC). IEEE, Denpasar, pp. 1-7. ISBN 979-8-3503-4571-1

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Official URL: https://ieeexplore.ieee.org/document/10006920

Abstract

Learning a foreign language is a must in the current era of globalization. This also includes learning Japanese for the Indonesian people, considering that Japan is a developed country, both in terms of education, technology, and strong culture. Learning Japanese, can be started at an early age by introducing vocabulary to objects around them. This study develops an educational media using Augmented Reality and a mnemonic approach to teach Japanese vocabulary and hiragana letters. The mnemonic approaches employed in this application includes visual imagery techniques that display 3D objects utilizing Augmented Reality, organizational approaches for classifying Japanese vocabulary, and rhyme and jingle techniques for memorizing words through songs. According to the study's findings, this application can aid children in learning, remembering, and comprehending Japanese vocabulary. The rise in child respondents' average pre- and posttest scores, which ranged from 11 to 80 out of a possible 100 points, indicates significant effect of the use of applications on improving children's learning outcomes. These findings are supported by the opinions of respondents who strongly agree that this application can be an educational media for learning Japanese vocabulary for children.

Item Type: Book Section
Additional Information: Presented in "The Seventh International Conference on Informatics and Computing (ICIC)" held on 08-09 December 2022 in Denpasar, Bali.
Uncontrolled Keywords: Vocabulary; Visualization; Three-dimensional displays; Image color analysis; Globalization; Media; User experience
Subjects: 000 Computer science, information & general works > 020 Library & information sciences > 025 Operations, Archieves, Information Centers
400 Language > 410 Linguistics
400 Language > 490 Other languages > 495 Languages of East & Southeast Asia > 495.6 Japanese language
600 Applied sciences & technology > 620 Engineering > 621 Applied Physics
Divisions: Universitas Al-Azhar Indonesia (UAI) > Fakultas Sains dan Teknologi (FST) > Teknik Informatika
Depositing User: Rifda Jilan
Date Deposited: 08 Feb 2023 08:14
Last Modified: 19 Aug 2023 03:14
URI: http://eprints.uai.ac.id/id/eprint/2060

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