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Enhancing an App for Sustaining Motivation in Learning

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HCI International 2024 Posters (HCII 2024)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 2117))

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Abstract

In this paper, we present the development of a mobile learning application de-signed for studying for the national examination for registered dietitians. The authors, affiliated with a registered dietitian training institution, have previously ad-dressed shortcomings in existing learning methods by providing an online learning application that resolves these issues and facilitates effective learning. However, a notable challenge has been identified in maintaining student motivation for individual study. To address this issue, we propose a mechanism for sustaining motivation and have implemented it in the existing online learning application. This paper not only describes the newly introduced features but also presents an analysis of the evaluation through surveys.

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Disclosure of Interests

The authors have no competing interests to declare that are relevant to the content of this article.

References

  1. Harada, H., et al.: A mobile learning app using past exam questions. In: 2023 14th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI), Koriyama, Japan, pp. 754–755 (2023). https://doi.org/10.1109/IIAI-AAI59060.2023.00161

  2. Dietary intake standards for Japanese people. https://www.mhlw.go.jp/stf/seisakunitsuite/bunya/kenkou_iryou/kenkou/eiyou/syokuji_kijyun.html. (Japanese)

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Correspondence to Tetsuya Nakatoh .

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Nakatoh, T., Miyagi, M., Ukegawa, A., Motoyama, A. (2024). Enhancing an App for Sustaining Motivation in Learning. In: Stephanidis, C., Antona, M., Ntoa, S., Salvendy, G. (eds) HCI International 2024 Posters. HCII 2024. Communications in Computer and Information Science, vol 2117. Springer, Cham. https://doi.org/10.1007/978-3-031-61953-3_20

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  • DOI: https://doi.org/10.1007/978-3-031-61953-3_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-61952-6

  • Online ISBN: 978-3-031-61953-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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