A Mobile Application for Learning Baybayin Alphabet with Character Recognition
This paper introduces a mobile application designed to facilitate the learning and practice of the Baybayin script—an ancient writing system indigenous to the Philippines into a more interactive and engaging way. The scope delineates in the need for more comprehensive Baybayin learning resources, emphasizing the need for an interactive mobile application that will engage students or users to learn the said ancient writings. The methodology highlights the use of spiral model for software development and descriptive type of research for data gathering. Based on the results of the study, the application's features include interactive lessons, quizzes, a progress tracker, and practice writing, with a distinctive character recognition system allowing users to receive real-time feedback on their writing skills. The overarching goals are to promote cultural awareness, improve Baybayin writing skills, deepen historical appreciation, and provide an engaging learning experience. The character recognition accuracy, employing machine learning algorithms, enhances the learning experience. It presented a detailed discussion of the results, encompassing cultural awareness, interactive way of familiarizing the writing system, improved writing skills, engaging learning experiences, and accessibility, positioning the app as a dynamic and valuable tool for Baybayin enthusiasts and learners to value its historical significance.
Authors
- Alice Lacorte (ORCID: https://orcid.org/0000-0003-4934-9839)
- Jeanne Pauline Calvez
- Marvin Atanacio
- Archie Menisis
- Arniel Natividad
- Dave Esguerra
Institutions
- Malayan Colleges Laguna (PH)
- National University (PH)
Publication Details
- Published
- 2024-10-18
- DOI
- https://doi.org/10.1145/3704217.3704222
- Primary Topic
- Mobile Learning in Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00