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
The unfolding COVID-19 pandemic has thrown us all for a loop and forced countless companies to shutter their offices, warehouses, and everything else. Working...Yegor Bugayenko From BLOG@CACM | May 29, 2020 at 12:32 PM
Is a skill-based, multi-level win-win, and (almost) zero-cost model for undergraduate science and engineering programs in a research university plausible?
Orit Hazzan From BLOG@CACM | May 27, 2020 at 10:34 AM
A report on EDBT/ICDT 2020.
Angela Bonifati, Giovanna Guerrini, Carsten Lutz, Wim Martens, Lara Mazilu, Norman Paton, Marcos Antonio Vaz Salles, Marc H. Scholl, Yongluan Zhou From BLOG@CACM | April 21, 2020 at 01:32 PM
Music can be a context for middle school students to learn about computational thinking and data science. In a game environment, students can play the role in which...Jeremy Roschelle From BLOG@CACM | April 22, 2020 at 01:58 PM
In the midst of a pandemic, universities are now rapidly shifting to online and remote learning. Here, I will suggest a core metaphor for what powerful online learning...Jeremy Roschelle From BLOG@CACM | March 25, 2020 at 03:52 PM
Writing clean code is a great start, but for programmers who really want to master their craft, you have to go further. You need to write clear code that other...Yegor Bugayenko From BLOG@CACM | March 12, 2020 at 10:29 PM