The Application of The Deeplearning Approach Assisted by The Augmented Reality Application Canva AI in Indonesian Language Learning in Elementary Schools

Abstract

This study aims to analyze a significant improvement in student learning outcomes through the application of canva AI-assisted deep learning and analyze the learning outcomes of students who receive the application of canva ai-assisted deep learning significantly higher than students who receive canva grade V elementary school assistance in reading comprehension materials. The type of research used is Quasy Experiment with a Nonequivalent Control Group Design research design. Data collection techniques use questionnaires, tests, and observations. The research instruments used were the main instruments consisting of questionnaires, learning outcome tests, and observation sheets. While the supporting instruments consist of RPP and canva ai. These types of data are qualitative data and quantitative data. This research consists of two hypotheses. The first hypothesis test used the Wilcoxon mark test because the pretest data in the experimental class were not distributed normally. The results of the Wilcoxon test with a significance level of 5% obtained a significance value of 0.000. Because 0.000 < 0.05 resulted in a significant increase in student learning outcomes through the application of Canva AI-assisted deep learning approaches. Meanwhile, the second hypothesis test uses the Mann-Whitney test because the N-gain data in the control class is not distributed normally. The results of the Mann-Whitney test with a significance level of 5% obtained a significance value of 0.0175. Because 0.0175 < 0.05, the improvement in student learning outcomes with the application of Canva AI's star-studded deep learning approach is significantly higher than that of students who receive Canva assistance