acm-header
Sign In

Communications of the ACM

BLOG@CACM


Refine your search:
dateMore Than a Year Ago
subjectEducation
authorOrit Hazzan and Koby Mike
bg-corner

The Interdisciplinarity of Data Science from the Perspective of the MERge Model
From BLOG@CACM

The Interdisciplinarity of Data Science from the Perspective of the MERge Model

Where should management be located in the data science Venn diagram?

The Process-Object Duality in Computer Science and Data Science Education
From BLOG@CACM

The Process-Object Duality in Computer Science and Data Science Education

The process-object duality has several educational implications for the design of teaching and learning processes.

Machine Learning: Out! Data Science: In!
From BLOG@CACM

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.

Can Machine Learning Algorithms Replace Exams?
From BLOG@CACM

Can Machine Learning Algorithms Replace Exams?

Radical thoughts on exams in times of COVID-19.  

Ten Challenges of Data Science Education
From BLOG@CACM

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.  
Sign In for Full Access
» Forgot Password? » Create an ACM Web Account