<p>Decision-makers are challenged by the inherent complexity and dynamic nature of human-induced changes when dealing with environmental issues. The process of thinking about the future and developing a ‘proactive strategy’ can better inform sustainability decision-making in the present. The use of AI-based models, particularly machine learning algorithms, may enable us to more accurate forecasting and response to future environmental change through the development of a series of scenarios. Therefore, we propose the application of AI technology in the formal school geography curriculum as a means of envisaging options for the future and evaluating such options to develop a set of alternative plans. Through the design experience of pedagogical ideas and learning activities, we identify how AI can be used to present options for the future, thereby engaging different teaching modes that encourage high school learners to make data-informed decisions and be more proactive in regard to anthropogenic environmental changes.</p>

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Being proactive about anthropogenic environmental changes: augmenting students’ decision making with artificial intelligence (AI) technology

  • Xi Xiang,
  • Michael E. Meadows

摘要

Decision-makers are challenged by the inherent complexity and dynamic nature of human-induced changes when dealing with environmental issues. The process of thinking about the future and developing a ‘proactive strategy’ can better inform sustainability decision-making in the present. The use of AI-based models, particularly machine learning algorithms, may enable us to more accurate forecasting and response to future environmental change through the development of a series of scenarios. Therefore, we propose the application of AI technology in the formal school geography curriculum as a means of envisaging options for the future and evaluating such options to develop a set of alternative plans. Through the design experience of pedagogical ideas and learning activities, we identify how AI can be used to present options for the future, thereby engaging different teaching modes that encourage high school learners to make data-informed decisions and be more proactive in regard to anthropogenic environmental changes.