THE EFFECT OF DEEP LEARNING ON STUDENTS' LEARNING MOTIVATION THROUGH THE USE OF ARTIFICIAL INTELLIGENCE TECHNOLOGY IN ELEMENTARY SCHOOL (Case Study at SDN 1 Warung Jeruk Purwakarta)
Published:
2026-10-19Downloads
Abstract
This study aims to analyze the effect of deep learning on students' learning motivation through the use of Artificial Intelligence (AI) technology in elementary schools. The study uses a quantitative approach with a survey method. The research objects include deep learning , the use of AI technology, and students' learning motivation. The study population was all fifth and sixth grade students of SDN 1 Warung Jeruk Purwakarta in 2026, totaling 136 students, with a sampling technique using total sampling . Data were collected through a questionnaire with a five-level Likert scale and analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS). The research model tested the direct effect of deep learning on the use of AI technology, the effect of AI use on learning motivation, the direct effect of deep learning on learning motivation, and the indirect effect through the use of AI. The results of the analysis showed that deep learning had a positive effect on the use of AI technology with a coefficient of 0.541, the use of AI had a positive effect on learning motivation with a coefficient of 0.342, and deep learning had a positive effect on learning motivation with a coefficient of 0.431. The use of AI also mediated the effect of deep learning on learning motivation, with an indirect effect of 0.185. This finding suggests that integrating deep learning and AI approaches can support more meaningful, interactive learning and enhance student motivation.
Keywords:
Deep learning Artificial Intelligence learning motivation elementary school SEM-PLSReferences
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