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Encyclopedia of Sustainability in Higher Education pp 369–376Cite as

Deep Learning on Sustainable Development

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Definition

Deep learning on sustainable development is the convergence of deep learning and deep ecology. In other words, deep learning on sustainable development consists of deep learning teaching practices surrounding subject matter that falls within the realm of deep ecology principles. The whole concept of deep learning on sustainable development challenges students to ask philosophically deep questions to penetrate the core of their most fundamental beliefs, to play with these ideas, and to make new space for learning about sustainability. In turn, this deep questioning process has educational implications for increasing sustainable knowledge, attitudes, and behaviors.

Introduction

Higher education institutions (HEIs) have a moral responsibility to help our world address present sustainability-related needs without impeding the ability of future generations to achieve their goals and lead full lives (Baker-Shelley 2016; Chase et al. 2012; Fadeeva and Mochizuki 2010). Worldwide,...

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Author information

Authors and Affiliations

  1. Higher and Postsecondary Education Program, Teachers College, Columbia University, New York, NY, USA

    Jessica Ostrow Michel

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  1. Jessica Ostrow Michel
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Correspondence to Jessica Ostrow Michel .

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Editors and Affiliations

  1. Faculty of Life Sciences, World Sustainable Development Research and Transfer Centre, Hamburg University of Applied Sciences, Hamburg, Germany

    Walter Leal Filho

Section Editor information

  1. KU Leuven, Leuven, Belgium

    Ingrid Molderez

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Michel, J.O. (2019). Deep Learning on Sustainable Development. In: Leal Filho, W. (eds) Encyclopedia of Sustainability in Higher Education. Springer, Cham. https://doi.org/10.1007/978-3-030-11352-0_207

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