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During the abrupt and unplanned transition to remote online learning formats due to the COVID-19 outbreak, educators have had to adopt new teaching methods. For instance, online simulations tailored to specific curriculum topics emerged, allowing students to apply their knowledge creatively, with potentially positive effects on engagement and learning efficacy. Here, we examine the implementation of the “Save the World” simulation, created by Wonderville.org, in a high school Advanced Placement Environmental Science classroom in a remote online learning setting. In this module, students determine the most viable renewable energy generation option for given environments. Based on student and teacher feedback, the simulation effectively delivers educational material and promotes student engagement, demonstrating that online simulations can serve as a viable tool to enhance environmental science education and remote learning.
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Building an Online Learning Module for Satellite Remote Sensing Applications in Hydrologic Science
This article presents an online teaching tool that introduces students to basic concepts of remote sensing and its applications in hydrology. The learning module is intended for junior/senior undergraduate students or junior graduate students with no (or little) prior experience in remote sensing, but with some basic background of environmental science, hydrology, statistics, and programming. This e-learning environment offers background content on the fundamentals of remote sensing, but also integrates a set of existing online tools for visualization and analysis of satellite observations. Specifically, students are introduced to a variety of satellite products and techniques that can be used to monitor and analyze changes in the hydrological cycle. At completion of the module, students are able to visualize remote sensing data (both in terms of time series and spatial maps), detect temporal trends, interpret satellite images, and assess errors and uncertainties in a remote sensing product. Students are given the opportunity to check their understanding as they progress through the module and also tackle complex real-life problems using remote sensing observations that professionals and scientists commonly use in practice. The learning tool is implemented in HydroLearn, an open-source, online platform for instructors to find and share learning modules and collaborate on developing teaching resources in hydrology and water resources.
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- PAR ID:
- 10289515
- Date Published:
- Journal Name:
- Remote Sensing
- Volume:
- 12
- Issue:
- 18
- ISSN:
- 2072-4292
- Page Range / eLocation ID:
- 3009
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.3390/rs12183009
