R. Jordan, A. Sorensen, R. Shwom, J. Robinson, Cindy Isenhour, Steven Gray, M. Nucci, Diane Ebert-May
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Using authentic science in climate change education
ABSTRACT In this article, we argue that engagement with authentic science is a means to mediate trust and motivation in those who are learning about climate change. To illustrate the argument, we provide a curricular example that focuses on authentic climate science data. We conclude with an example of how researchers from multiple disciplines can use model-based reasoning to collaboratively design educational experiences.
期刊介绍:
Applied Artificial Intelligence addresses concerns in applied research and applications of artificial intelligence (AI). The journal also acts as a medium for exchanging ideas and thoughts about impacts of AI research. Articles highlight advances in uses of AI systems for solving tasks in management, industry, engineering, administration, and education; evaluations of existing AI systems and tools, emphasizing comparative studies and user experiences; and the economic, social, and cultural impacts of AI. Papers on key applications, highlighting methods, time schedules, person-months needed, and other relevant material are welcome.