Machine Learning: Out! Data Science: In!
We propose to stop teaching machine learning courses to populations whose core discipline is neither computer science nor mathematics and statistics.
Koby Mike
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Validity and Reliability in Data Science: An Interdisciplinary Perspective
We examine the essence of the components of data science, as well as their interrelations, from the educational perspective.
A Journal for Interdisciplinary Data Science Education
Orit Hazzan and Koby Mike on the need for a journal to cover data science education exclusively.
An Open Call to Establish an Interdisciplinary Data Science Education Journal
In this blog, we describe our vision for a journal that would focus on data science education from the interdisciplinarity perceptive.
Can Machine Learning Algorithms Replace Exams?
Radical thoughts on exams in times of COVID-19.
Ten Challenges of Data Science Education
We highlight 10 challenges of data science education, clustered into three categories: (a) Discipline, (b) Skills, and (c) Environment.
Shape the Future of Computing
ACM encourages its members to take a direct hand in shaping the future of the association. There are more ways than ever to get involved.
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