<![CDATA[To improve the English writing abilities of fifth-grade primary school students in Kebumen Regency, Indonesia, this study examines the efficacy of using the British Council for Kids application within a deep learning-based Mobile Assisted Language Learning (MALL) in asynchronous learning model. This study used a pre-experimental one-group pretest-posttest design using a quantitative methodology. A cluster sampling strategy was used to choose 74 kids as participants. A pre-test, two therapy sessions with activities from the British Council for Kids, independent practice, a post-test, and a perception questionnaire made up the four-week intervention. A Paired t-test and N-gain score computation using SPSS were used for statistical data analysis. The mean score increased significantly from 65.95 in the pre-test to 87.97 in the post-test. The mean score rose from 65.95 in the pre-test to 87.97 in the post-test, signifying a significant enhancement in students' writing proficiency. The N-gain analysis showed a mean score of 0.6371, indicating moderate efficacy. In conclusion, including the British Council for Kids into a MALL-based deep learning paradigm successfully improves writing abilities and cultivates a love of learning. To give young students more interesting and fulfilling educational experiences, the study promotes the use of MALL platforms in English classes. REFERENCES Agyeman, N. Y. B. (2024). Deep learning in high schools: Exploring pedagogical approaches for transformative education. Humanika, 24(2), 111–126. https://doi.org/10.21831/hum.v24i2.71350 Alhadiah, A. (2023). Undergraduate EFL learners’ use and acceptance of mobile-assisted language learning: A structural equation modeling approach. World Journal of English Language, 13(3), 253. https://doi.org/10.5430/wjel.v13n3p253 Alnujaidi, S. (2021). 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