Connecting Science to Society : STEAM Deep Learning in Elementary School

Authors

  • ADELYN SALURAPA UNIVERSITAS TERBUKA
  • Fadlan Muchlas Abrori University of Borneo Tarakan

Keywords:

Connecting Science, STEAM, Deep Learning

Abstract

This research is motivated by the results of observations on students in class VB of Indotionghoa Elementary School, which show that the current learning process is only superficial and not in-depth. The impact is that students' critical thinking abilities are not maximized. The purpose of this research is to determine the effect of the STEAM Deep Learning approach on students' critical thinking skills. The type of research used is Pre-Experimental with a One Group Pretest-Posttest design. The data analysis technique uses statistical-based quantitative analysis using the SPSS 25 application, which consists of prerequisite tests and hypothesis tests. The prerequisite tests consist of normality and homogeneity tests. After the prerequisite tests are conducted, the t-test is performed. Based on the results of the normality test, the Sig value is > 0.05, so it is concluded that the data is normally distributed. The homogeneity test shows a Sig value > 0.05, indicating that the data is homogeneously distributed. Furthermore, the t-test results show that the Sig.(2-tailed) value is 0.027, which is less than 0.05, meaning that there is an effect of using the STEAM deep learning approach on student learning outcomes.

References

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Published

2025-12-30

How to Cite

SALURAPA, A., & Muchlas, F. (2025). Connecting Science to Society : STEAM Deep Learning in Elementary School . Proceedings of Forum for University Scholars in Interdisciplinary Opportunities and Networking, 2(1), 596–599. Retrieved from https://conference.ut.ac.id/index.php/fusion/article/view/6794

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