Review Article The Effect of AI-Based Deep Learning on Narrative Writing Skills for Elementary School Students

Atrianing Yessi Wijayanti, Atrianing Yessi Wijayanti (2026) Review Article The Effect of AI-Based Deep Learning on Narrative Writing Skills for Elementary School Students. Proceeding of The International Conference on Global Education and Learning, 1 (-). ---. ISSN 3089-8072 (Unpublished)

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Abstract

Abstract: Narrative writing skills are crucial for the literacy development of elementary school students. However, many students face challenges in writing narrative essays due to limited vocabulary, grammar understanding, and imagination. Traditional teaching methods often fail to address these issues. This study explores the impact of AI-based Deep Learning on narrative writing skills. Using a quantitative approach with an experimental design, the research employed a pretest-posttest design with a nonrandomized control group. The study involved 65 students from SD 4 Sidomulyo, including 30 students from class IV A and 35 from class IV B. A nonprobability sampling technique with saturated sampling was used. Data was collected through tests, and content validity was applied for validation. Hypothesis testing with the Independent Samples t-test yielded a significance value of 0.001 (p < 0.05) and a calculated t-value of 3.472, which is greater than the t-table value of 2.0024. These results indicate that AI-based Deep Learning significantly affects narrative writing skills in elementary school students. Keywords: AI-Based Deep Learning, Narrative Writing Skills. Keywords: AI; Deep Learning; Grammar; Imagination; Writing Skills

Item Type: Article
Subjects: L Education > LB Theory and practice of education > LB2300 Higher Education
Divisions: Fakultas Keguruan dan Ilmu Kependidikan > S1 Pendidikan Pancasila dan Kewarganegaraan
Depositing User: ardi mawardi S.S
Date Deposited: 27 Apr 2026 12:47
Last Modified: 27 Apr 2026 12:47
URI: http://repository.undaris.ac.id:8080/id/eprint/2321

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