Enhancing Educational Visualization Through 3D Models


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Authors

  • Gergely Kocsis J. Selye University
  • Ondrej Takáč J. Selye University

Keywords:

3D models, AI, education, polycam, luma AI, kiri engine

Abstract

This study explores the pedagogical potential of 3D models in contemporary education and
evaluates their effectiveness in enhancing the learning process. The primary objective was to examine
how interactive three-dimensional representations can support students more efficiently than conventional
two-dimensional illustrations typically found in textbooks. To achieve this, we selected exotic fruits -
papaya, avocado, and mango - as case examples. These items frequently appear as static images in
educational materials, making them ideal for comparison with dynamically rendered 3D models.
The research employed accessible, freely available mobile applications capable of generating 3D models
directly from smartphone cameras. This approach eliminated the need for specialized equipment, thereby
demonstrating the feasibility of integrating 3D modeling activities into regular classroom settings. The
usability, accessibility, and output quality of the selected applications were systematically examined,
focusing on their suitability for educational purposes and their potential to promote student engagement
and experiential learning.
Furthermore, the study investigated the role of artificial intelligence (AI) in refining the quality and
realism of the 3D models. The inclusion of AI-based post-processing highlights emerging opportunities
for automated enhancement, texture reconstruction, and surface detail optimization. The findings
emphasize that low-cost mobile solutions combined with AI-driven improvements can significantly
expand the availability and educational value of 3D content, offering a scalable and motivating tool for
teaching and learning in various disciplines.

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Author Biographies

Gergely Kocsis, J. Selye University

Department of Informatics, Slovakia, EU

Ondrej Takáč, J. Selye University

Department of Informatics, Slovakia, EU

References

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https://core.ac.uk/works/18522766/

P. Patonis, “Comparative Evaluation of the Performance of a Mobile Device Camera and a Full-Frame Mirrorless Camera in Close-Range Photogrammetry Applications,” Sensors, vol. 24, no. 15, 2024. [Online]. Available: https://www.mdpi.com/1424-8220/24/15/4925

L. B. Seifert, M. Beyer, V. Czok, A. Aigner, S. Abazi, F. M. Thieringer, and R. Sader, “Comparative Accuracy of Stationary and Smartphone-Based Photogrammetry in Oral and Maxillofacial Surgery: A Clinical Study,” J. Clin. Med., vol. 13, no. 22, p. 6678, 2024. [Online]. Available: https://www.mdpi.com/2077-0383/13/22/6678

(2025) Luma AI: 3D Capture. [Online]. Available:

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(2025) Polycam: 3D Scanner & Editor. [Online]. Available:

https://play.google.com/store/apps/details?id=ai.polycam&hl=en

(2025) KIRI Engine: 3D Scanner App. [Online]. Available:

https://play.google.com/store/apps/details?id=com.kiriengine.app&hl=en

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Published

2025-10-21

How to Cite

Kocsis, G., & Takáč, O. (2025). Enhancing Educational Visualization Through 3D Models. International Journal of Advanced Natural Sciences and Engineering Researches, 9(10), 288–295. Retrieved from https://as-proceeding.com/index.php/ijanser/article/view/2870

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Articles