Browsing by Author "Calvo, Ruben"

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    Chilean Teachers' Attitudes towards Inclusive Education, Intention, and Self-Efficacy to Implement Inclusive Practices
    (2021) San Martin, Constanza; Ramirez, Chenda; Calvo, Ruben; Munoz-Martinez, Yolanda; Sharma, Umesh
    Teachers play an important role in the success of inclusive practices for diverse learners in regular classrooms. It is, therefore, important to examine their beliefs and preparation to teach in inclusive classrooms. The main purpose of this study was to analyze the attitude of active Chilean teachers (n = 569) towards inclusion, their self-efficacy regarding inclusive practices, and their intention to teach in inclusive classrooms. Our secondary objectives were to explore the relationship between their attitudes and self-efficacy and to determine the influence of demographic and professional variables on these two constructs. A positive and significant relationship between teachers' attitude and self-efficacy was found. Teacher qualification was not significantly related to attitudes towards inclusion but was negatively associated with their self-efficacy beliefs concerning inclusive practices. Secondary education teachers reported lower teaching efficacy beliefs for inclusion than pre-school, primary, and special education teachers. The type of school emerged as a significant predictor of teachers' attitude and self-efficacy beliefs. The implications of this research and need for additional teacher and in-service training to improve educators' attitudes and self-efficacy are discussed.
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    Energy poverty effects on policy-based PM2.5 emissions mitigation in southern and central Chile
    (2022) Calvo, Ruben; Alamos, Nicolas; Huneeus, Nicolas; O'Ryan, Raill
    Residential firewood burning is the main source of PM2.5 emissions in southern and central Chile. In Chile, approximately 4000 premature deaths are observed each year due to air pollution. Mitigation policies aim to reduce dwellings' energy demand and foster cleaner but more expensive energy sources. Pre-existing energy poverty conditions are often overlooked in these policies, even though they can negatively affect the adoption of these measures. This article uses southern and central Chile as a case study to assess quantitatively different policy scenarios of PM2.5 emissions between 2017 and 2050, considering energy poverty-related effects. Results show that PM2.5 emissions will grow 16% over time under a business as usual scenario. If thermal improvement and stove/heater replacements are implemented, PM2.5 reductions depend on the scale of the policy: a 5%-6% reduction of total southern and central Chile PM2.5 emissions if only cities with Atmospheric Decontamination Plans are included; a 54%-56% reduction of PM2.5 emissions if these policies include other growing cities. Our study shows that the energy poverty effect potentially reduces the effectiveness of these measures in 25%. Consequently, if no anticipatory measures are taken, Chile's energy transition goals could be hindered and the effectiveness of mitigation policies to improve air quality significantly reduced.
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    Modeling the Ignition Risk: Analysis before and after Megafire on Maule Region, Chile
    (2022) Azocar de la Cruz, Gabriela; Alfaro, Gabriela; Alonso, Claudia; Calvo, Ruben; Orellana, Paz
    Wildland fires are a phenomenon of broad interest due to their relationship with climate change. The impacts of climate change are related to a greater frequency and intensity of wildland fires. In this context, megafires have become a phenomenon of particular concern. In this study, we develop a model of ignition risk. We use factors such as human activity, geographic, topographic, and land cover variables to develop a bagged decision tree model. The study area corresponds to the Maule region in Chile, a large zone with a Mediterranean climate. This area was affected by a megafire in 2017. After generating the model, we compared three interface zones, analyzing the scar and the occurrences of ignition during and after the megafire. For the construction of georeferenced data, we used the geographic information system QGIS. The results show a model with high fit goodness that can be replicated in other areas. Fewer ignitions are observed after the megafire, a high recovery of urban infrastructure, and a slow recovery of forest plantations. It is feasible to interpret that the lower number of ignitions observed in the 2019-2020 season is a consequence of the megafire scar. It is crucial to remember that the risk of ignition will increase as forest crops recover. Wildland fire management requires integrating this information into decision-making processes if we consider that the impacts of climate change persist in the area.