Atividade educacional utilizando realidade aumentada para o ensino de física no ensino superior : Educational activity using Augmented Reality for Teaching Physics in Higher Education

O uso de recursos de Realidade Aumentada em dispositivos móveis para a Educação tem sido explorado nos últimos anos de forma mais significativa. Desta forma, o objetivo deste artigo foi avaliar a qualidade de uma abordagem educacional neste contexto em termos de Usabilidade, Engajamento, Motivação e Aprendizagem. Um estudo voltado para o processo de ensino e aprendizagem de Física foi conduzido com 27 alunos de uma universidade federal, sendo aplicado o questionário MAREEA para avaliar a abordagem. Os resultados obtidos foram satisfatórios e instigadores, em que as quatro dimensões foram avaliadas positivamente, havendo também um importante feedback dos participantes para as melhorias nos recursos educacionais em realidade aumentada.The use of Augmented Reality features in mobile devices for Education has been explored in recent years in a more meaningful way. In this way, the objective of this article was to evaluate the quality of an educational approach in this context in terms of Usability, Engagement, Motivation, and Learning. A study focused on the teaching and learning process of Physics was conducted with 27 students from a federal university, using the MAREEA questionnaire to evaluate the approach. The results were satisfactory and instigators, in which the four dimensions were evaluated positively, and there was also significant feedback from the participants for improvements in educational resources in augmented reality.Facultad de Informátic

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Long-term thermal sensitivity of Earth’s tropical forests

The sensitivity of tropical forest carbon to climate is a key uncertainty in predicting global climate change. Although short-term drying and warming are known to affect forests, it is unknown if such effects translate into long-term responses. Here, we analyze 590 permanent plots measured across the tropics to derive the equilibrium climate controls on forest carbon. Maximum temperature is the most important predictor of aboveground biomass (−9.1 megagrams of carbon per hectare per degree Celsius), primarily by reducing woody productivity, and has a greater impact per °C in the hottest forests (>32.2°C). Our results nevertheless reveal greater thermal resilience than observations of short-term variation imply. To realize the long-term climate adaptation potential of tropical forests requires both protecting them and stabilizing Earth’s climate