The GEMBIRA Program: A Deep Learning-Based Model to Enhance Literacy Skills in Primary Education
DOI:
https://doi.org/10.22460/pej.v9i2.6220Kata Kunci:
Literacy , Deep learning, Literacy Ability, Reading, WritingAbstrak
This study aims to examine the effectiveness of the GEMBIRA Program in Grade 5 of elementary school, which integrates a deep learning approach to improve students’ reading and writing literacy skills. The program is designed to cultivate meaningful reading habits, reflective writing, and interactive storytelling through the stages of mindful, meaningful, and joyful learning. The research method used is a pre-experimental design with a one-group pretest-posttest approach. The sample consisted of 37 randomly selected students. Data were collected using observation instruments and analyzed both descriptively and inferentially using a t-test and n-gain calculation. The results showed an increase in the average score from 50.25 to 79.14 after the intervention, with an average n-gain score of 0.60, categorized as moderately effective. The t-test showed a significant difference (p = 0.000 < 0.05), indicating a statistically significant difference between pretest and posttest scores. These findings demonstrate that the deep learning-based Literasi Gembira Program is effective in holistically improving students’ reading and writing literacy skills, and it can serve as an innovative and enjoyable literacy learning model in elementary schools.
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