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dateMore Than a Year Ago
subjectEducation
authorKoby Mike and Orit Hazzan
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Why Is It Hard to Define Data Science?
From BLOG@CACM

Why Is It Hard to Define Data Science?

Data science can be described as a science, as a research paradigm, as a research method, as a discipline, as a workflow, and as a profession.

Opportunities of Data Science Education
From BLOG@CACM

Opportunities of Data Science Education

Considering the six new and exciting opportunities that data science presents.

Mitigating the Base-Rate Neglect Cognitive Bias in Data Science Education
From BLOG@CACM

Mitigating the Base-Rate Neglect Cognitive Bias in Data Science Education

How can machine learning educators help learners cope with the base rate neglect cognitive bias?

The Base-Rate Neglect Cognitive Bias in Data Science
From BLOG@CACM

The Base-Rate Neglect Cognitive Bias in Data Science

Using Bayes' Theorem, the correct answer to both the medical diagnosis problem and to the lion classification question, can be calculated.

Validity and Reliability in Data Science: An Interdisciplinary Perspective
From BLOG@CACM

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.

An Open Call to Establish an  Interdisciplinary Data Science Education Journal
From BLOG@CACM

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.
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