@inproceedings{0b16ab3d3d31427a86f4d76feb671172,
title = "Using Extended Reality Technology in Science Education",
abstract = "Across all scientific fields, the amount of data generated continues to grow exponentially, which creates both opportunities and challenges. Increased availability allows for new insights into phenomena and stimulates discovery. While traditional ways of interacting with data have focused mostly on flat displays, Extended Reality (XR) technologies have the potential to transform the way both research and education are done. They provide an immersive and interactive experience that allows participants to visualize and interact with data while also working collaboratively. In this paper, the research and development of immersive educational 3D visualization tools aligned with several science drivers including environmental science and sustainability and life sciences is described. Specifically, the development of two XR applications is discussed with emphasis on the innovative mechanisms introduced using head-mounted display technologies. Preliminary results from the prototype applications indicate that the use of the XR technologies significantly expands the visualization ability by integrating additional data sources and improving the user's experience.",
keywords = "modeling, science education, sustainability, virtual reality",
author = "Iman Cumberbatch and James Olatunji and Robila, {Stefan A.}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2023 ; Conference date: 05-05-2023",
year = "2023",
doi = "10.1109/LISAT58403.2023.10179579",
language = "English",
series = "2023 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2023 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2023",
}