Integrating Values-Oriented Deep Learning To Promote Global Citizenship Attitudes Among Primary Learners
Integrasi Pembelajaran Mendalam Berorientasi Nilai untuk Meningkatkan Sikap Kewarganegaraan Global di Kalangan Siswa Sekolah Dasar
DOI:
https://doi.org/10.21070/ups.10415Keywords:
Deep Learning, Surah Al-Hujurat, Global Diversity Attitude, Character Education, Elementary SchoolAbstract
These findings indicate that the integration of deep learning with verses from Surah Al-Hujurat 9–13 strengthens elementary school students' attitudes toward global diversity. The research utilized a quantitative method featuring a preexperimental design with a single-group pretest and posttest. The study participants included 34 fifth-grade pupils at SDN Wonoplintahan 2. A test assessing attitudes toward global diversity was employed, measuring empathy, tolerance, appreciation for differences, solidarity and collaboration, as well as global responsibility. The Eta effect size, Shapiro–Wilk normality examination, and paired sample t-test were employed for data analysis. All analyses were conducted using SPSS 25. According to the significant difference between the pretest and posttest scores (t(33) = -8.561, p <.001) and the large effect size (η2=.470), the results showed a statistically significant increase in students' global diversity attitudes after the intervention. These results indicate that Surah Al-Hujurat can effectively and sustainably shape elementary school students' global diversity attitudes.
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