The Implementation of Artificial Intelligence in Geometry Validation for Psychomotor Aspect Assessment

DOI

10.2991/assehr.k.210423.088How to use a DOI?

Keywords

artificial intelligence, psychomotor, Assessment

Abstract

Nowadays, many various of geometry validation tools produced to validate the shapes drawn automatically. The tools are useful to create geometry shape, for example: vertices, edges, and faces. This paper proposed a technique in geometry validation using an artificial intelligence (AI). The proposed method is to develop a 3D virtual environment for VR application. To support these circumstances, we use Oculust Rift and leap motion control. First, user will create random shapes in a system and the system do the validation. Second, after the validation, the system will show a correct information if the shape is correct. However, the system will show an incorrect information, if the shape is incorrect. Each point of shape that drawn will be marked and will be checked by the system. Last, Leap Motion Controller will match the hand gesture and the shape result. A virtual world will be show in Oculus Rift. This is necessary for the user in order to create a real feeling in the virtual world and do the interaction using leap motion control. This research aims also to do an evaluation of psychomotor aspect for the user. Several students in elementary school already tested and have a high interest, since the application is very useful and interactive.

Copyright

© 2021, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Siska Arifiani
AU  - Umi Laili Yuhana
AU  - Ridho Rahman Hariadi
AU  - Faturochman Pranacahya Andrianto
PY  - 2021
DA  - 2021/04/26
TI  - The Implementation of Artificial Intelligence in Geometry Validation for Psychomotor Aspect Assessment
BT  - Proceedings of the International Conference on Educational Assessment and Policy (ICEAP 2020)
PB  - Atlantis Press
SP  - 200
EP  - 204
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.210423.088
DO  - 10.2991/assehr.k.210423.088
ID  - Arifiani2021
ER  -