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Design and Implementation of a Dental English Learning Application Using Flutter.

Yuta Otsuka1, Tadahiro Higashinakao2, Fumiko Nishio2

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Summary

This study developed a mobile app to help dental professionals learn English terminology. The app uses interactive features for efficient vocabulary acquisition and retention.

Keywords:
dental educationeducation appeducational toolenglish languageflutter

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Area of Science:

  • Medical Education
  • Applied Linguistics
  • Mobile Health

Background:

  • Growing internationalization of dental care necessitates English proficiency for dental students and practitioners.
  • Limited availability of specialized learning resources for dental English terminology presents a significant challenge.
  • Efficient methods for acquiring specialized dental vocabulary are crucial for effective global communication.

Purpose of the Study:

  • To develop a mobile application designed to enhance dental English vocabulary acquisition.
  • To provide a specialized, accessible tool for dental professionals to learn English terminology.
  • To address the gap in learning materials for specialized dental vocabulary.

Main Methods:

  • Developed a cross-platform mobile application using Flutter and Dart, deployable on iOS and Android.
  • Integrated features including a 25-stage vocabulary list, flashcards with text-to-speech, and randomized multiple-choice quizzes.
  • Utilized Firebase Hosting for application availability and a speech API for auditory learning support.

Main Results:

  • The application offers a structured approach to vocabulary learning with 500 specialized terms.
  • Features facilitate both visual and auditory memorization, supporting efficient learning.
  • Initial developer evaluation indicates suitability for repetitive learning and vocabulary retention.

Conclusions:

  • The developed mobile app offers a promising solution for dental English vocabulary acquisition.
  • The app's design supports efficient memorization and retention of specialized dental terms.
  • Future work includes user feedback integration and formal studies to validate learning effectiveness.