The Application of Augmented Reality Platform for Chemistry Learning
Article Sidebar
Main Article Content
Abstract
In this project, a new learning platform was developed. This project uses the technology of Augmented Reality (AR) to develop a graphic animation platform for learning purposes. By applying virtual objects with animations for learning, it helps to engage users and increase their learning efficiency. Besides, the AR platform combines hardware (i.e.s smartphone, headset, and target marker) and software (i.e., Unity, Vuforia, and C#) for the operation. The AR application allow the interaction of the virtual objects by grabbing target marker toward each other or touching the virtual button in real environment. This can increase the immersion and interaction of the user when learning chemistry. In additional, the “Chemical Learn” experiments was designed to study the effectiveness of the AR platform compared to traditional platform as well as to conduct user satisfaction surveys. The overall results showed that the AR learning platform can improved learning efficiency of users in chemistry compared to traditional learning methods. Moreover, users who participate in the survey are generally satisfied with the AR. It is believed that with the rising trend of technology, it is only a matter of time before people become familiar with the AR platform.
(Submitted: 1 December 2021 | Accepted: 24 April 2022 | Published: 30 September 2023)
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
References
Z. Y. Lim, K. S. Sim and S. C. Tan, "Metric Learning Based Convolutional Neural Network for Left-Right Brain Dominance Classification," in IEEE Access, vol. 9, pp. 120551-120566, 2021, doi: 10.1109/ACCESS.2021.3107554.
C. Karen & Z.Y. Lim, K.S. Sim and S.C. Tan, "Development of Brain Balancing System for Left and Right Hemispheres,". in International Journal on Robotics, Automation and Sciences. vol. 3. pp. 1-7, 2021, doi: 10.33093/ijoras.2021.3.1.
K. L. Lew; K. S. Sim; S. C. Tan; Fazly Salleh Abas, " Virtual Reality Post Stroke Upper Limb Assessment using Unreal Engine 4," in Engineering Letters, vol. 29 Issue 4, p1511-1523. 13p, 2021.
T. Blum, V. Kleeberger, C. Bichlmeier and N. Navab, "mirracle: An augmented reality magic mirror system for anatomy education," 2012 IEEE Virtual Reality Workshops (VRW), 2012, pp. 115-116, doi: 10.1109/VR.2012.6180909.
T. Blum, R. Stauder, E. Euler and N. Navab, "Superman-like X-ray vision: Towards brain-computer interfaces for medical augmented reality," 2012 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 2012, pp. 271-272, doi: 10.1109/ISMAR.2012.6402569.
S. Sendari, A. Firmansah and Aripriharta, "Performance Analysis of Augmented Reality Based on Vuforia Using 3D Marker Detection," 2020 4th International Conference on Vocational Education and Training (ICOVET), 2020, pp. 294-298, doi: 10.1109/ICOVET50258.2020.9230276.
N. Nurym, R. Sambetova, M. Azybaev and N. Kerimbayev, "Virtual Reality and Using the Unity 3D Platform for Android Games," 2020 IEEE 10th International Conference on Intelligent Systems (IS), 2020, pp. 539-544, doi: 10.1109/IS48319.2020.9199959.
D. Adrianto, M. Hidajat and V. Yesmaya, "Augmented reality using Vuforia for marketing residence," 2016 1st International Conference on Game, Game Art, and Gamification (ICGGAG), 2016, pp. 1-5, doi: 10.1109/ICGGAG.2016.8052642.
I. Gorovyi, V. Vovk, M. Shevchenko, V. Zozulia and D. Sharapov, "Embedded Vision Modules for Text Recognition and Fiducial Markers Tracking," 2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP), 2018, pp. 534-537, doi: 10.1109/DSMP.2018.8478640.
B. A. Koca, B. Çubukçu and U. Yüzgeç, "Augmented Reality Application for Preschool Children with Unity 3D Platform," 2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), 2019, pp. 1-4, doi: 10.1109/ISMSIT.2019.8932729.
J. Lugrin, R. Chaignon and M. Cavazza, "A High-level Event System for Augmented Reality," 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality, 2007, pp. 269-270, doi: 10.1109/ISMAR.2007.4538861.
E. Kalina and M. C. Johnson-Glenberg, "Presence and Platform: Effects of Embodiment Comparing a 2D Computer and 3D VR Game," 2020 6th International Conference of the Immersive Learning Research Network (iLRN), 2020, pp. 31-37, doi: 10.23919/iLRN47897.2020.9155160.
S. W. Cook and S. Goldin-Meadow, "The Role of Gesture in Learning: Do Children Use Their Hands to Change Their Minds?," 2006, vol. 7, pp. 211-232.
P. Yin, "Research on Design and Optimization of Game UI Framework Based on Unity3D," 2019 International Conference on Electronic Engineering and Informatics (EEI), 2019, pp. 221-223, doi: 10.1109/EEI48997.2019.00055.
P. J. Noonan, J. M. Anton-Rodriguez, T. F. Cootes, W. A. Hallett and R. Hinz, "Multiple target marker tracking for real-time, accurate, and robust rigid body motion tracking of the head for brain PET," 2013 IEEE Nuclear Science Symposium and Medical Imaging Conference (2013 NSS/MIC), 2013, pp. 1-6, doi: 10.1109/NSSMIC.2013.6829268.
A. C. M. Billinghurst and G. Lee, A Survey of Augmented Reality, 2015.
G. Tian-Han, T. Qiao-Yu and Z. Shuo, "The Virtual Museum Based on HoloLens and Vuforia," 2018 4th Annual International Conference on Network and Information Systems for Computers (ICNISC), 2018, pp. 382-386, doi: 10.1109/ICNISC.2018.00084.
K. -H. Kim, D. -U. Jung, S. -H. Lee and J. -S. Choi, "A hand tracking framework using the 3D active tracking volume," The 19th Korea-Japan Joint Workshop on Frontiers of Computer Vision, 2013, pp. 159-163, doi: 10.1109/FCV.2013.6485480.