From BLOG@CACM
The digital computer of today arose in the first half of the 1940s independently in three different countries: Germany, the U…
Herbert Bruderer| June 20, 2022
What does the Corona Semester reveal about computer science students’ preferences when learning computer science?
Orit Hazzan From BLOG@CACM | November 2, 2020 at 12:09 PM
To measure or to not measure, that is the question. Ask programmers and many will tell you that measurement is a fool’s folly. Measurement undermines the team spirit...Yegor Bugayenko From BLOG@CACM | October 16, 2020 at 02:49 PM
Contrary to expectations, online lab classes during our current pandemic may actually have some benefits over their in-person counterparts.Philip Guo From BLOG@CACM | October 16, 2020 at 11:02 AM
Intro CS students sometimes think professional programmers are super-human, which makes it hard to live up to those expectations.
Mark Guzdial From BLOG@CACM | September 12, 2020 at 04:51 PM
This post presents a conceptual framework for integrating computing and computational thinking into other domains. The framework is intended to support curriculum...Shuchi Grover From BLOG@CACM | August 27, 2020 at 05:56 PM
We argue that exponential research and exponential teaching may exert mutual influence and foster each other, creating together the exponential research university...Orit Hazzan and Avi Salmon From BLOG@CACM | August 7, 2020 at 10:04 AM
To address structural barriers in Computer Science education, school districts are now looking beyond the need for specific courses or tools. They are developing...Jeremy Roschelle and Quinn Burke From BLOG@CACM | July 31, 2020 at 06:05 PM
Computer Science education is inequitable. The least-prepared students are going to be hurt the most in online teaching. We have to make change now.
Mark Guzdial From BLOG@CACM | August 2, 2020 at 04:36 PM
When I complained at ISCA 2019 about a lack of papers on real industrial products, I was assigned to help fix the problem.
David Patterson From BLOG@CACM | July 17, 2020 at 03:27 PM
We highlight 10 challenges of data science education, clustered into three categories: (a) Discipline, (b) Skills, and (c) Environment.
Orit Hazzan and Koby Mike From BLOG@CACM | July 16, 2020 at 11:06 AM
On the added value of teaching an online soft skills course to undergrad computer science students.
Orit Hazzan From BLOG@CACM | June 8, 2020 at 04:02 PM