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ERIC Number: EJ1248097
Record Type: Journal
Publication Date: 2020
Pages: 16
Abstractor: As Provided
ISSN: ISSN-0022-0485
Teaching Modules for Estimating Climate Change Impacts in Economics Courses Using Computational Guided Inquiry
Fortmann, Lea; Beaudoin, Justin; Rajbhandari, Isha; Wright, Aedin; Neshyba, Steven; Rowe, Penny
Journal of Economic Education, v51 n2 p143-158 2020
The authors of this article introduce two teaching modules that aim to increase climate literacy and active learning in undergraduate economics courses through the incorporation of real-world data and modeling. These modules are based on the concept of computational guided inquiry (CGI), which combines a guided inquiry approach within a computational framework, such as Excel. In one module, students estimate and graph expected marginal damages due to regional sea level rise for various polar ice melt scenarios. In the second module, students partially replicate a journal article estimating the total economic value of ecosystem services in the Arctic. These modules have been used in urban, environmental, and climate change economics courses, and are ready to be implemented with minimal upfront cost to instructors.
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Publication Type: Journal Articles; Reports - Descriptive; Tests/Questionnaires
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: National Science Foundation (NSF)
Authoring Institution: N/A
Grant or Contract Numbers: 271033