Research Article

Enhancing Geometry Education through Deep Learning Models: Addressing Challenges in Three-Dimensional Shape Visualization

Volume: 14 Number: 2 June 27, 2025
EN TR

Enhancing Geometry Education through Deep Learning Models: Addressing Challenges in Three-Dimensional Shape Visualization

Abstract

Integrating technology into mathematics education is crucial for enhancing the understanding of mathematical concepts and skills, as well as increasing motivation. This is particularly applicable in geometry classes, where technology can facilitate the detection of geometric shapes, impacting both the learning and teaching processes. In this context, emerging concepts of artificial intelligence and deep learning can be utilized as tools to overcome such limitations. This study addresses the challenges that teachers face when drawing three-dimensional geometric shapes in digital environments. Shapes drawn manually in digital environments can often be complex, making it difficult for teachers to create accurate and precise drawings. Deep learning models can assist teachers in correcting drawing errors, thereby providing students with clearer and more comprehensible visuals to facilitate the learning of geometric concepts. The study emphasizes the high accuracy rates achieved using various deep learning models, highlighting their impressive capabilities in accurately classifying geometric shapes.

Keywords

References

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Details

Primary Language

English

Subjects

Information Systems Development Methodologies and Practice

Journal Section

Research Article

Publication Date

June 27, 2025

Submission Date

February 13, 2025

Acceptance Date

June 4, 2025

Published in Issue

Year 2025 Volume: 14 Number: 2

APA
Şener, A., Poçan, S., & Ergen, B. (2025). Enhancing Geometry Education through Deep Learning Models: Addressing Challenges in Three-Dimensional Shape Visualization. Türk Doğa Ve Fen Dergisi, 14(2), 247-258. https://doi.org/10.46810/tdfd.1639446
AMA
1.Şener A, Poçan S, Ergen B. Enhancing Geometry Education through Deep Learning Models: Addressing Challenges in Three-Dimensional Shape Visualization. TJNS. 2025;14(2):247-258. doi:10.46810/tdfd.1639446
Chicago
Şener, Abdullah, Serdal Poçan, and Burhan Ergen. 2025. “Enhancing Geometry Education through Deep Learning Models: Addressing Challenges in Three-Dimensional Shape Visualization”. Türk Doğa Ve Fen Dergisi 14 (2): 247-58. https://doi.org/10.46810/tdfd.1639446.
EndNote
Şener A, Poçan S, Ergen B (June 1, 2025) Enhancing Geometry Education through Deep Learning Models: Addressing Challenges in Three-Dimensional Shape Visualization. Türk Doğa ve Fen Dergisi 14 2 247–258.
IEEE
[1]A. Şener, S. Poçan, and B. Ergen, “Enhancing Geometry Education through Deep Learning Models: Addressing Challenges in Three-Dimensional Shape Visualization”, TJNS, vol. 14, no. 2, pp. 247–258, June 2025, doi: 10.46810/tdfd.1639446.
ISNAD
Şener, Abdullah - Poçan, Serdal - Ergen, Burhan. “Enhancing Geometry Education through Deep Learning Models: Addressing Challenges in Three-Dimensional Shape Visualization”. Türk Doğa ve Fen Dergisi 14/2 (June 1, 2025): 247-258. https://doi.org/10.46810/tdfd.1639446.
JAMA
1.Şener A, Poçan S, Ergen B. Enhancing Geometry Education through Deep Learning Models: Addressing Challenges in Three-Dimensional Shape Visualization. TJNS. 2025;14:247–258.
MLA
Şener, Abdullah, et al. “Enhancing Geometry Education through Deep Learning Models: Addressing Challenges in Three-Dimensional Shape Visualization”. Türk Doğa Ve Fen Dergisi, vol. 14, no. 2, June 2025, pp. 247-58, doi:10.46810/tdfd.1639446.
Vancouver
1.Abdullah Şener, Serdal Poçan, Burhan Ergen. Enhancing Geometry Education through Deep Learning Models: Addressing Challenges in Three-Dimensional Shape Visualization. TJNS. 2025 Jun. 1;14(2):247-58. doi:10.46810/tdfd.1639446

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