Enhancing Geometry Teaching in STEAM Education with Interactive Learning Environments

2024

Full text Open access: Gold Metadata (CSL-JSON)
DOI 10.18178/ijiet.2024.14.9.2153
Data confidence 70 medium
How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

In confronting the challenge of effectively integrating technology into mathematics education, this study investigates the impact of GeoGebra, an interactive learning tool, on enhancing the understanding of geometry among high school students. Through a rigorous mixed-methods approach, involving 150 students segmented into control and experimental cohorts, this research meticulously assesses the differential outcomes attributable to GeoGebra engagement. Notably, our findings illuminate a significant augmentation in the experimental group’s grasp of geometric concepts, with a pronounced improvement in correlating algebraic and graphical representations of trigonometric functions. This advancement was not merely academic, it corresponded with elevated levels of student engagement and performance. Beyond the anticipated benefits of interactive tools in educational settings, our study contributes novel insights into the specific advantages of GeoGebra within the STEAM curriculum. The results advocate for a more pronounced integration of technology-enhanced learning environments in educational systems, aiming to not only enrich students’ learning experiences but also to prepare them more effectively for the complexities of modern scientific and mathematical problem-solving.