The Effect Of Deep Learning Approach On The Language Development Of 5-6 Year Old Children

Irda Wahyuni Hasibuan; Khadijah

doi:10.54069/atthiflah.v13i2.1360

Authors

Irda Wahyuni Hasibuan Universitas Islam Negeri Sumatera Utara, Indonesia
Khadijah Universitas Islam Negeri Sumatera Utara, Indonesia

DOI:

https://doi.org/10.54069/atthiflah.v13i2.1360

Keywords:

Deep Learning, language development, early childhood education

Abstract

This study aims to analyze the effect of the Deep Learning approach on the language development of children aged 5-6 years at TK IT Nurul Ilmi, Deli Serdang Regency, North Sumatra. The study employed a quantitative approach with a quasi-experimental design using a Non-Equivalent Control Group Design. The sample consisted of 20 children divided into experimental and control groups using total sampling. Data were collected through observation, pretest, posttest, and documentation, with indicators covering listening, speaking, vocabulary, and communication skills. The results showed that the mean score of the experimental group increased from 33.80 to 55.20, representing an improvement of 21.40 points. The Wilcoxon test yielded Z = 2.809 with a significance value of 0.005 < 0.05, indicating a significant difference between the scores before and after the learning intervention. The N-Gain score was 0.817 or 81.7%, which falls into the high category. Thus, the Deep Learning approach demonstrated an increase in children’s language development during the study period through mindful, meaningful, and joyful learning, providing active, contextual, and communicative learning experiences for young children.

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