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…

The Journey of Hope (JoH) is an evidence-based behavioral health prevention intervention model designed for disaster-affected children and youth. While the in-person JoH model has been extensively delivered and studied, the virtual implementation of this intervention, specifically tailored for the unique needs of children and youth during the…

These proceedings contain the papers and posters of the 22nd International Conference on e-Society (ES 2024) and 20th International Conference on Mobile Learning (ML 2024), organised by the International Association for Development of the Information Society (IADIS) in Porto, Portugal, during March 9-11, 2024. The e-Society 2024 conference aims to…