Wildfires pose significant environmental threats in Australia, impacting ecosystems, human lives, and property. This review article provides a comprehensive analysis of various empirical and dynamic wildfire simulators alongside machine learning (ML) techniques employed for wildfire prediction in Australia. The study examines the effectiveness of…

From the experiential learning perspective, this study investigates middle and high school students (n = 1009) who used an online module to learn about wildfire hazards, risks, and impacts through computational simulations of wildfire phenomena. These students were taught by 18 teachers in urban, rural, and suburban schools across the United…

In order to characterize students' risk assessment explanations based on the Geohazard Risk Framework, which describes four key elements of risk for high school science education, we investigate whether student explanations include the following risk elements: scientific factors, impacts, human influences, and likelihood. This study uses the…