Development of an Animated Yorùbá Language Learning System

Abstract

This study presents the development and evaluation of an animated language learning system designed to support the teaching and acquisition of the Yorùbá language using culturally grounded 3D animation. The system integrates curriculum-based content with traditional settings, audio-visual elements, and interactive storytelling to enhance engagement and comprehension among learners. Blender was employed to model characters, environments, and animations, while Mixamo was used for rigging and motion capture. Texturing, lighting, audio synchronization, and rendering were executed to reflect authentic cultural expressions and pronunciation accuracy, guided by consultations with native speakers. To evaluate the system, user testing was conducted with 15 participants using a structured questionnaire analysed through the Mean Opinion Score (MOS) method across five key parameters: usability (96.20%), accuracy (98.60%), timeliness (97.40%), user-friendliness (95.00%), and responsiveness (95.20%). The high scores across all parameters suggest the system is effective, easy to use, and pedagogically sound. The findings affirm that animation-based instruction can significantly enhance indigenous language learning, offering a sustainable approach to language preservation and revitalization in the digital age.