Paper Type
ERF
Abstract
Indigenous languages face a critical risk of extinction, hindered by low learning motivation and limited resources. Grounded in self-determination theory (SDT), this study employs mobile-assisted language learning (MALL) with gamification and AI integration to develop a gamified platform. The goal is to enhance indigenous students' motivation and learning effectiveness. By offering personalized and interactive experiences, this research aims to support language revitalization, promote cultural sustainability, and provide empirical insights for educational policy and digital learning design.
Paper Number
1633
Recommended Citation
Chen, Pin-You; Wang, Chen-Yu; Li, Bo-Yi; Chen, Jiun-Jia; and Chou, Chih-Yuan, "An AI-Driven Gamified MALL Application for Indigenous Language Revitalization" (2025). AMCIS 2025 Proceedings. 3.
https://aisel.aisnet.org/amcis2025/is_education/is_education/3
An AI-Driven Gamified MALL Application for Indigenous Language Revitalization
Indigenous languages face a critical risk of extinction, hindered by low learning motivation and limited resources. Grounded in self-determination theory (SDT), this study employs mobile-assisted language learning (MALL) with gamification and AI integration to develop a gamified platform. The goal is to enhance indigenous students' motivation and learning effectiveness. By offering personalized and interactive experiences, this research aims to support language revitalization, promote cultural sustainability, and provide empirical insights for educational policy and digital learning design.
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