Nowadays, it is of vital importance to make students aware of the problems that can be generated by the deterioration of the environment. The purpose of this study is to establish a suitable mechanism to predict behavior and to investigate the actions that most motivate students to participate in sustainability activities both on and off campus. To achieve this objective, a sample of 1446 students from nine Latin American universities is analyzed using the CHAID algorithm as a segmentation technique. In this way, the aim is to identify the most relevant actions that allow students to be segmented according to their motivations. From a theoretical point of view, the effectiveness of this segmentation technique in the context of environmental sustainability is confirmed, and from a practical point of view, university managers are provided with guidelines on the most effective measures to motivate students to develop pro-environmental behavior.

中文翻译：

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如何提高学生参与大学环境可持续发展举措的积极性

如今，让学生意识到环境恶化可能产生的问题至关重要。本研究的目的是建立一个合适的机制来预测行为并调查最能激励学生参与校园内外可持续发展活动的行为。为了实现这一目标，使用 CHAID 算法作为分割技术对来自 9 所拉丁美洲大学的 1446 名学生进行了样本分析。通过这种方式，目的是确定最相关的行动，使学生能够根据他们的动机进行细分。从理论的角度来看，这种细分技术在环境可持续性背景下的有效性得到了证实，从实践的角度来看，为大学管理者提供了关于激励学生发展亲环境行为的最有效措施的指导方针。