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Hands-on learning of artificial intelligence for social good
Abstract:
<p>Climate change is the most pressing issue for undergraduate students and their generation. Nevertheless, undergraduates are underserved when it comes to climate change, especially climate change action. Explanations for this disconnection range from the scale of the issue to pedagogical appoahces. We propose to overcome these believes by implementing a project-based teaching module to teach about climate change action and artificial intelligence, which we call AI for Social Good (AI4SG). AI4SG is based on culturally responsive pedagogy. In this manner, we value the students’ knowledge and engagement with their community. The project goal was to ideate an AI solution to address a climate change issue in the students’ community. During the project, students learned about cultural capital and how to identify issues in their communities that could be affected by climate change. Moreover, students learned about Artificial Intelligence and discussed case-studies of AI for social good in multiple context, from law to personal helpers. At the conclusion of the AI4SG module, students presented their projects to members of the Los Angeles Sustainable Development Goals Office and to the director of Cal Poly Pomona Center for Community Engagement. We will discuss our project-based teaching module and illustrate its application using a real example from our classrooms. Overall, students reported a high engagement and ownership of their projects while identifying that they can contribute to climate change action.</p>
Keywords: Artificial Intelligence, Pedagogy, Climate Change, Culturally Responsive Pedagogy
Authors:
Gabriel Granco, California State Polytechnic University, Pomona; Submitting Author / Primary Presenter
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Hands-on learning of artificial intelligence for social good
Category
In-Person Paper Abstract