Analisis respon siswa tehadap implementasi media cerita bergambar digital berbantuan ilustrasi AI gaya pixar dalam pembelajaran bahasa Indonesia SD berbasis PjBL

Authors

  • Siti Nurazizah Puji Ayu Lestari Universitas Pendidikan Indonesia, Indonesia
  • Rina Heryani Universitas Pendidikan Indonesia, Indonesia
  • Trisna Nugraha IKIP Siliwangi, Indonesia

DOI:

https://doi.org/10.22460/collase.v8i6.30179

Abstract

The advancement of digital technology and artificial intelligence (AI) presents new opportunities in Indonesian language learning, particularly in supporting students’ writing creativity and increasing engagement in elementary education. However, the use of AI-generated illustrations, especially those resembling Pixar-style visuals, remains rarely integrated into Project-Based Learning (PjBL) models. This study aims to describe students’ responses to the implementation of AI-assisted digital picture story media in Grade VI Indonesian language learning. The media were developed from students’ written stories, which were then transformed into digital picture stories using AI-generated illustrations as the final project product. The study employed a descriptive qualitative approach with a survey design involving 33 students. Data were collected using a Likert-scale questionnaire covering six aspects: media quality, learning convenience, interest in AI illustrations, learning experience through PjBL, benefits of the media for writing skills, and students’ motivation and engagement. The findings show that the overall student response reached 85.66%, categorized as very positive. Specifically, media quality received 87%, learning convenience 84%, interest in AI illustrations 89%, PjBL learning experience 86%, benefits for writing skills 80%, and motivation and engagement 88%. These results indicate that integrating AI-assisted digital picture story media through PjBL enhances students’ interest, creativity, and motivation, and has strong potential as an effective innovation in Indonesian language learning.

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Published

2025-11-30

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