Gamified language learning: preserving regional dialects through interactive digital platforms: a case study of the Kelantanese dialect / Muhammad Alhakim Shafie … [et al.]

Shafie, Muhammad Alhakim and Che Fauzi, Ainul Azila and Mat, Asiah and Fauzi, Auni and Md Nasir, Syerina Azlin (2024) Gamified language learning: preserving regional dialects through interactive digital platforms: a case study of the Kelantanese dialect / Muhammad Alhakim Shafie … [et al.]. Journal of Mathematics and Computing Science (JMCS), 10 (2): 12. pp. 101-113. ISSN 0128-0767

Abstract

The dynamic Kelantanese prioritise their dialect over anything else. It encourages regional traditions, mythologies, and historical narratives through song, dance, and drama. The dialect significantly influences Kelantanese social life, customs, and religion, providing speakers with a profound sense of identification and belonging. This distinctive cultural asset confronts significant difficulties. The Kelantanese dialect is under threat due to the younger generations’ transition to standard Malay and the absence of formal educational resources. The extensive use of media and communication technology generates apprehensions regarding linguistic uniformity, potentially undermining the Kelantanese dialect. To address these issues, this study focuses on the development and implementation of Dialect Master, a gamified web application designed to facilitate the learning of the Kelantanese dialect. By integrating engaging elements such as quizzes, progress tracking, and leaderboards, the application enhances user experience and learning outcomes. Technically, PostgreSQL was chosen for its reliability, with Drizzle ORM ensuring seamless database interactions and Next.js optimising server-side functionalities. Security was prioritised, resulting in the adoption of Clerk for authentication and encryption, thereby safeguarding data and enhancing user trust. Incentives such as points, badges, leaderboards, and quests were essential for prolonged engagement, while culturally pertinent content enhanced the relatability of the learning experience. The iterative development process employed agile methods incorporating AI-driven features, gamification aspects, and an intuitive user interface (UI), resulting in a dynamic tool for learning the Kelantanese dialect. The research highlights the advantages of gamification in education, illustrating how interactive components can enhance learner motivation and retention. Dialect Master emerges as a promising instrument for dialect acquisition, underscoring the significance of user-centered designs and gamified learning environments, with effective implementation and favorable user feedback accentuating its capacity to render the Kelantanese dialect enjoyable and accessible to learners.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Shafie, Muhammad Alhakim
2022610938@student.uitm.edu.my
Che Fauzi, Ainul Azila
ainulazila@uitm.edu.my
Mat, Asiah
UNSPECIFIED
Fauzi, Auni
ainulauni@gmail.com
Md Nasir, Syerina Azlin
syerina@uitm.edu.my
Subjects: H Social Sciences > HM Sociology > Culture
L Education > LB Theory and practice of education > Higher Education > Research
L Education > LB Theory and practice of education > Higher Education > Technology. Information technology. Internet in higher education
T Technology > T Technology (General) > Information technology. Information systems
Divisions: Universiti Teknologi MARA, Kelantan > Machang Campus > Faculty of Computer and Mathematical Sciences
Journal or Publication Title: Journal of Mathematics and Computing Science (JMCS)
UiTM Journal Collections: Listed > Journal of Mathematics and Computing Science (JMCS)
ISSN: 0128-0767
Volume: 10
Number: 2
Page Range: pp. 101-113
Related URLs:
Keywords: Agile development, AI-driven features, Gamification, User-centered designs, Web application
Date: December 2024
URI: https://ir.uitm.edu.my/id/eprint/113469
Edit Item
Edit Item

Download

[thumbnail of 113469.pdf] Text
113469.pdf

Download (585kB)

ID Number

113469

Indexing

Statistic

Statistic details