PEMBELAJARAN MATEMATIKA BERBASIS DEEP LEARNING BERBANTUAN CANVA AI UNTUK MENINGKATKAN PEMAHAMAN KONSEP SISWA SEKOLAH DASAR
DOI:
https://doi.org/10.23969/jp.v11i3.59808Keywords:
canva ai, conceptual understanding, deep learning, elementary schoolAbstract
There are still a number of challenges when it comes to increasing primary school pupils' conceptual comprehension of data collecting and data presentation in frequency tables, pictograms, and bar charts. The purpose of this study is to evaluate how well fifth-grade elementary school pupils' conceptual comprehension of data material is enhanced by Deep Learning-based mathematics instruction supported by Canva AI. This study employed a one group pretest-posttest design and a quantitative methodology. Using a saturation sampling strategy, 21 fifth-grade elementary school pupils made up the research sample. Tests of conceptual understanding were administered both before and after the treatment in order to gather data. Descriptive statistics, normality tests, and the Paired Sample t-Test were used to analyze the data. The average student score rose from134.76 in the pretest to 68.57 in the posttest, according to the findings. The Paired Sample t-Test results revealed a significance value of 0.000 (<0.05), indicating a significant increase in conceptual understanding following the use of Canva AI-assisted Deep Learning-based mathematics learning. The results of the study demonstrate that pupils' conceptual comprehension of data content in grade V of elementary school may be improved by combining the Deep Learning and Canva AI techniques.
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