Data Science Education in Undergraduate Physics: Lessons Learned from a Community of Practice

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ID: 282492
2024
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Abstract
It is becoming increasingly important that physics educators equip their students with the skills to work with data effectively. However, many educators may lack the necessary training and expertise in data science to teach these skills. To address this gap, we created the Data Science Education Community of Practice (DSECOP), bringing together graduate students and physics educators from different institutions and backgrounds to share best practices and lessons learned from integrating data science into undergraduate physics education. In this article we present insights and experiences from this community of practice, highlighting key strategies and challenges in incorporating data science into the introductory physics curriculum. Our goal is to provide guidance and inspiration to educators who seek to integrate data science into their teaching, helping to prepare the next generation of physicists for a data-driven world.
Reference Key
soltanieh-ha2024data Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Karan Shah; Julie Butler; Alexis Knaub; Anıl Zenginoğlu; William Ratcliff; Mohammad Soltanieh-ha
Journal arXiv
Year 2024
DOI
DOI not found
URL
http://arxiv.org/abs/2403.00961v2
Keywords
cs.lg physics.ed-ph physics.data-an

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