EFEKTIVITAS DESAIN PEMBELAJARAN DENGAN PENDEKATAN DEEP LEARNING BERBASIS MODEL ADDIE TERHADAP HASIL BELAJAR SISWA SDIT PERMATA BUNDA BANDAR LAMPUNG

Abstract

This study aims to examine the effectiveness of instructional design based on the ADDIE model with a deep learning approach on students’ learning outcomes at SDIT Permata Bunda Bandar Lampung. The research employed a quantitative approach using a quasi-experimental method with a Nonequivalent Control Group Design. The research subjects consisted of two classes, namely an experimental class and a control class, each comprising 30 students. The experimental class was taught using an instructional design based on the ADDIE model integrated with a deep learning approach, while the control class received conventional instruction. Data were collected using a learning achievement test administered as pretest and posttest. The data were analyzed using descriptive statistics, Kolmogorov–Smirnov normality test, Levene’s homogeneity test, independent samples t-test, and N-Gain analysis. The results indicated that the average posttest score of the experimental class (86.00) was higher than that of the control class (68.83). The independent samples t-test showed a significance value of 0.000 (p < 0.05), indicating a statistically significant difference in learning outcomes between the two groups. Furthermore, the N-Gain analysis revealed that the experimental class achieved a moderate level of improvement (0.61), while the control class showed a low level of improvement (0.10). Therefore, it can be concluded that instructional design based on the ADDIE model with a deep learning approach is effective in improving elementary school students’ learning outcomes.