DEVELOPING AN AI-ASSISTED ANIMATED ENGLISH ALPHABET SONG PROTOTYPE FOR INDONESIAN PRIMARY SCHOOL EFL LEARNERS

Abstrak

This study aims to design and develop an AI-assisted animated English alphabet song prototype for beginner EFL learners in Indonesian primary schools, focusing on Grades 4–6, applying the Analyze, Design, and Develop stages of the ADDIE model to produce curriculum-aligned multimedia that enhances alphabet recognition and accurate pronunciation. The research employed curriculum review, classroom observations, teacher interviews, and media analysis across five public schools in Majene, Sulawesi Barat, using Suno AI for vocal processing, Gemini for character images, VEO3 for lipsynced animation, and Capcut for video editing. Expert evaluation using a structured evaluation form assessed content validity, language quality, media design, and pedagogical suitability, yielding Aiken’s V scores from 0.833 to 1.000, confirming the prototype’s validity. The prototype can be applied in primary school English lessons, teacher education, instructional design, and educational technology courses to support early literacy, phonics instruction, and curriculum-aligned multimedia development. This study presents a novel approach by integrating generative AI voice processing, hybrid animated characters, and multimedia learning principles, providing an empirically validated, replicable framework for developing localized, high-quality instructional media for beginner EFL learners.

Identifier

• OpenAlex: https://openalex.org/W4417293588
• DOI: https://doi.org/10.31851/v0r06883