Year: 2022
Type: review
Study design: Systematic Review
Abstract: Current education systems use data visualization to present the data in a more comprehensible format. Augmented data visualization is an extended version to present the data in a 2D or 3D form in our field of vision. This study conducted a systematic literature review to identify the current state of the art research in augmented reality and potential future research. Research paid especial attention towards the effective use of augmented reality for data visualization to offer a better pedagogical experience. A total of 39 studies have been filtered between 2017 to 2021 from two recognized databases, IEEE Xplore and ScienceDirect. Three research questions are designed for further analysis. Finally, the paper concludes with a future projection and uncovers research gaps that need to be addressed.
Authors: Indrajith Ekanayake, Shashini Gayanika
Institutions: Robert Gordon University, NSBM Green University
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W4282581007