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Abstract:
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Learning and engagement barriers abound in statistics and data science education. Looming large among them are feelings of anxiety and non-belonging often experienced by beginning coders - feelings that at best make courses less approachable, and at worst can deter students from pursuing courses, degrees or futures in the field.
Creative contributions and activities can be a bridge for learners to access data science topics and skills. First, through evidence and anecdotes, I will discuss how bringing creative activities and resources into classrooms can enhance student engagement and learning. Then, I will consider who we typically think of as a “contributor” to educational resources in data science, and make a case for broadening that perception to include creative contributors - those working at the intersection of the arts and data science to make materials more welcoming, engaging, and impactful for more learners.
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