Space Explorers: A Web-based Platform to Supports Space Weather Education Through Storytelling Data Visualization
This work in progress paper presents ongoing research and development of a web-based platform designed to educate elementary school students about space weather in an engaging and accessible manner. Space weather, driven by solar activity such as sunspots, solar flares, and coronal mass ejections, has significant effects on Earth's magnetosphere and technological systems. However, understanding these complex phenomena often requires interpreting intricate scientific data, which can be challenging for young learners. Prior research highlights difficulties in graph literacy and the need for interactive, age-appropriate educational tools to bridge this gap. To address these challenges, this project focuses on creating visually compelling and intuitive learning resources that simplify complex space weather concepts. Initially conceived as a mobile application, the project has since transitioned to a web-based platform to overcome cost and compatibility constraints while ensuring broader accessibility across different devices. The web-based approach enables seamless integration with school curriculums, reduces barriers to entry, and allows for continuous updates and improvements without requiring frequent software downloads. A key aspect of this initiative is the collaboration with graduate students from Montclair State University, who contribute their expertise in coding, app development, and interactive design. Their involvement has been instrumental in shaping the platform’s architecture, emphasizing privacy compliance, user engagement, and the incorporation of hands-on learning elements. This platform aims to increase graph literacy and space weather awareness through interactive storytelling. Initial feedback from educators has highlighted the platform’s potential to enhance scientific curiosity and engagement.
Authors
- Thomas J. Marlowe (ORCID: https://orcid.org/0000-0002-1514-9866)
- Rebecca A. Goldstein (ORCID: https://orcid.org/0000-0001-5131-4892)
- Stefan A. Robila (ORCID: https://orcid.org/0000-0001-6464-1446)
- Vaibhav Anu (ORCID: https://orcid.org/0000-0001-8104-4942)
- Sumi Hagiwara (ORCID: https://orcid.org/0000-0003-0982-2601)
- Jason T.L. Wang
- Katherine G. Herbert (ORCID: https://orcid.org/0000-0001-6663-8187)
- Angela Brantley
Institutions
- New Jersey Institute of Technology (US)
- Seton Hall University (US)
- Montclair State University (US)
- Orange County Public Schools (US)
Publication Details
- Published
- 2025-03-15
- DOI
- https://doi.org/10.1109/isec64801.2025.11147263
- Primary Topic
- Big Data Technologies and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00