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DOI: 10.14569/IJACSA.2022.0130410
PDF

Design and Implementation of Teaching Assistant System for Mechanical Course based on Mobile AR Technology

Author 1: Jinglei Qu
Author 2: Bingxin Ma
Author 3: Lulu Zheng
Author 4: Yuhui Kang

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 4, 2022.

  • Abstract and Keywords
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Abstract: Augmented reality technology has become a hot spot in many fields because of its unique real-time interaction and the ability to add virtual objects in 3D video space. To enable students better understand and master traditional mechanical courses and solve the limitations of the courseware teaching method, a teaching assistant system based on Vuforia platform is designed and developed by combining augmented reality technology with existing teaching methods. On the smartphone application side, the 3D model of parts can be displayed by scanning mechanical engineering drawings, which can rotate, zoom, and section view the model. It realizes 3D visualization and interactive operation of 2D drawings in textbooks and achieves the purpose of image, diversity and efficient teaching. The results show that this method can not only promote the cognition of spatial relations based on visualization, but also create a situational learning environment based on experience, which can effectively improve the learning effect of courses and enhance students' interest and enthusiasm in learning.

Keywords: Augmented reality; teaching assistance; mechanical teaching; visual operation

Jinglei Qu, Bingxin Ma, Lulu Zheng and Yuhui Kang, “Design and Implementation of Teaching Assistant System for Mechanical Course based on Mobile AR Technology” International Journal of Advanced Computer Science and Applications(IJACSA), 13(4), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130410

@article{Qu2022,
title = {Design and Implementation of Teaching Assistant System for Mechanical Course based on Mobile AR Technology},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0130410},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0130410},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {4},
author = {Jinglei Qu and Bingxin Ma and Lulu Zheng and Yuhui Kang}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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