Coaching English for Young Learners through Deep Learning at PPA IO-0133 Krammer Hilina’a
DOI:
https://doi.org/10.58266/jpmb.v4i3.1184Keywords:
Deep Learning, English for Young Learners, PPA IO-0133 Krammer Hilina'a, English Training, Basic SkillsAbstract
English proficiency for Young Learners (EYL) plays a crucial role as a basic foundation for fostering learning motivation. However, preliminary observations at PPA IO-0133 KrammerHilina'a revealed minimal student abilities, with only 17% of students meeting the initial competency targets. This Community Service (PKM) program aims to strengthen basic English skills through a Deep Learning approach. The activities were conducted in seven systematic stages, integrating techniques such as role play, games, imitation, singing, and coaching strategies. The results showed a consistent positive improvement trend in each session, with an overall average competency increase of 65%. In the final evaluation stage, 96% of students successfully achieved the competency set targets, with an average score increase of 55 points. In conclusion, the integration of technology and modern pedagogy is effective in creating a strong, interactive, and sustainable English language foundation for children at PPA IO-0133 Krammer Hilina'a.
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Copyright (c) 2026 Riswan Zega, Kristof M E Tel, Jacqueline Laoli, Neni S Gulo, Silvan H Tel, Fincessia F Maru’ao, Ryan M Harefa

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