Redesigning Notebooks for Data Science Education

April Wang, Steve Oney, and Christopher Brooks

HuSDat 2019

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Abstract

Computational notebooks enable data scientists to document their exploration and analysis processes through a combination of code, narrative text, visualizations, and other rich media. In this position paper, we discuss the opportunities to improve computational notebook infrastructure to better support data science education. In particular, we propose to redesign computational notebook environments along three dimensions: 1) supporting real-time group collaboration, 2) facilitating joint discourse over shared context, and 3) encouraging active learning.

Cite this paper (BibTeX)

@inproceedings{wang2019redesigning,
  author    = {Wang, April and Oney, Steve and Brooks, Christopher},
  title     = {Redesigning Notebooks for Data Science Education},
  booktitle = {Human-Centered Study of Data Science Work Practices Workshop, ACM Conference on Human Factors in Computing Systems (CHI)},
  year      = {2019}
}