The impact of augmented reality on the understanding of assembly drawings: case study of a gear train

augmented reality (AR) has shown enormous potential as a teaching tool for improving comprehension in technical and engineering fields. This research investigates the influence of AR on the comprehension and interpretation of assembly drawings, with a concentration on gear train assembly drawing. We created an AR-based web application called GTAR (Gear Train with Augmented Reality), using CATIA CAD software, AR-JS is an innovative platform intended for the development of AR experiences on the Web and GitHub is a development platform permitting developers to write, save, control, and share their code. The AR-based web application enables students to see animated simulation of gear train system on their smartphones. This tool aims to link static representations with functional comprehension through the integration of dynamic visuals into conventional technical drawings. This article discusses the making process of the AR-based web application, its educational advantages, and the outcomes of an experimental research study conducted with the second year of the mechanical science and technology baccalaureate students at a technical high school in Casablanca, Morocco. Initial results indicate that AR enhances spatial thinking, reduces cognitive strain, and elevates precision in reading assembly details. Post-test findings indicate a significant improvement in the average score, approximately between 15 and 16 points. This extensive enhancement demonstrates the beneficial impact of AR on students' comprehension of the assembly drawings.

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Publication Details

Published
2025-05-15
DOI
https://doi.org/10.1109/iraset64571.2025.11008342
Primary Topic
3D Surveying and Cultural Heritage
Type
article
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article

The impact of augmented reality on the understanding of assembly drawings: case study of a gear train

Khalifa Mansouri, Salah Nissabouri, Zidani Younes, Zahrou Younes et al.
3D Surveying and Cultural Heritage
article

The impact of augmented reality on the understanding of assembly drawings: case study of a gear train

Khalifa Mansouri, Salah Nissabouri, Zidani Younes, Zahrou Younes, Ech-Chhibat Moulay El Houssine
article en

Abstract

augmented reality (AR) has shown enormous potential as a teaching tool for improving comprehension in technical and engineering fields. This research investigates the influence of AR on the comprehension and interpretation of assembly drawings, with a concentration on gear train assembly drawing. We created an AR-based web application called GTAR (Gear Train with Augmented Reality), using CATIA CAD software, AR-JS is an innovative platform intended for the development of AR experiences on the Web and GitHub is a development platform permitting developers to write, save, control, and share their code. The AR-based web application enables students to see animated simulation of gear train system on their smartphones. This tool aims to link static representations with functional comprehension through the integration of dynamic visuals into conventional technical drawings. This article discusses the making process of the AR-based web application, its educational advantages, and the outcomes of an experimental research study conducted with the second year of the mechanical science and technology baccalaureate students at a technical high school in Casablanca, Morocco. Initial results indicate that AR enhances spatial thinking, reduces cognitive strain, and elevates precision in reading assembly details. Post-test findings indicate a significant improvement in the average score, approximately between 15 and 16 points. This extensive enhancement demonstrates the beneficial impact of AR on students' comprehension of the assembly drawings.

École Normale Supérieure de l'Enseignement Technique de Mohammedia (MA), Université Hassan II Mohammedia (MA)
Openalex Percentile: Top 83%
3D Surveying and Cultural Heritage
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The impact of augmented reality on the understanding of assembly drawings: case study of a gear train — Khalifa Mansouri, Salah Nissabouri, et al. · (2025) | TGRS Research Map | TGRS