• Corpus ID: 238744447

Framework for Accessible and Inclusive Teaching Materials for Statistics and Data Science Courses

@inproceedings{Dogucu2021FrameworkFA,
  title={Framework for Accessible and Inclusive Teaching Materials for Statistics and Data Science Courses},
  author={Mine Dogucu and Alicia M. Johnson and Miles Ott},
  year={2021}
}
Despite rapid growth in the data science workforce, people of color, women, those with disabilities, and others remain underrepresented in, underserved by, and sometimes excluded from the field. This pattern prevents equal opportunity for individuals, while also creating products and policies that perpetuate inequality. Thus, for statistics and data science educators of the next generation, accessibility and inclusion should be of utmost importance in our programs and courses. In this paper, we… 

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SHOWING 1-10 OF 27 REFERENCES
Successful STEM mentoring initiatives for underrepresented students: A research-based guide for faculty and administrators
Successful STEM Mentoring Initiatives for Underrepresented College Students is a step-by-step, research-based guide for higher education faculty and administrators who are charged with designing
Our Values and Our Metrics for Holding Ourselves Accountable
A note to readers: We created this document as we began the writing of this book and included it as part of the manuscript draft that was posted online as part of the open peer review process. We
Assistive technology and employment: experiences of Californians with disabilities.
TLDR
Survey of people with disabilities using Independent Living Centers throughout California found that disability itself was cited as the primary barrier to employment, with potential loss of benefits and lack of education cited as secondary barriers.
bookdown: Authoring Books and Technical Documents with R Markdown
TLDR
It is argued throughout this review that there are some substantial technical leaps that still need to be made to get authors to use bookdown on a reasonably sized book, but that it immediately solves the problem of frequent dealing with LATEX typesetting issues by focusing on the HTML version of books instead.
Assessing gender bias in machine translation: a case study with Google Translate
TLDR
Experimental evidence is provided that even if one does not expect in principle a 50:50 pronominal gender distribution, Google Translate yields male defaults much more frequently than what would be expected from demographic data alone.
Actionable Auditing: Investigating the Impact of Publicly Naming Biased Performance Results of Commercial AI Products
TLDR
The audit design and structured disclosure procedure used in the Gender Shades study is outlined, and new performance metrics from targeted companies IBM, Microsoft and Megvii (Face++) on the Pilot Parliaments Benchmark (PPB) as of August 2018 are presented.
Sexual Identity and Behavior Among U.S. High School Students, 2005–2015
TLDR
This is the first study to simultaneously assess adolescent sexual identity and behavior over time within a national dataset, critical for understanding the sexual health needs of adolescents and for informing sexual health policy and practice.
Publishers: let transgender scholars correct their names
TLDR
“In changing my name, I was faced with what felt like an impossible choice,” says the author, who changed her name to protect herself and her family from harm.
BrailleR: Improved access for blind useRs
  • 2021
New in knitr: Improved accessibility with image alt text
  • 2021
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