Communications of the ACM
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The Laughing is Over
Celebrating the 50th anniversary of the first U.S. Computer Chess Championship in 1970.
From BLOG@CACM
Students Need to Know What Success in Computing Looks Like, Starting from Realistic Expectations
Intro CS students sometimes think professional programmers are super-human, which makes it hard to live up to those expectations.
From BLOG@CACM
Things To Do To An Algorithm
What happens when people's fate hangs on machine learning?
From BLOG@CACM
Preparation for Building the First Swiss Digital Computer (Ermeth)
Eduard Stiefel's study trip to the U.S. in 1948/1949.
From BLOG@CACM
Integrating Computing in School Subjects: A Conceptual Framework for Design and Analysis
This post presents a conceptual framework for integrating computing and computational thinking into other domains. The framework is intended to support curriculum...
From BLOG@CACM
Closing the 'Trust Gap' in Contact Tracing/Exposure Notification Technology
The digitization of contact tracing presents an array of challenges.
From BLOG@CACM
Can Research Universities Become Exponential?
We argue that exponential research and exponential teaching may exert mutual influence and foster each other, creating together the exponential research university...
From BLOG@CACM
Towards Equity in K-12 Computer Science Education: Consistency, Cumulativity and Competencies
To address structural barriers in Computer Science education, school districts are now looking beyond the need for specific courses or tools. They are developing...
From BLOG@CACM
3 Proposals to Change How We Teach Computing In Order to Reduce Inequality
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.
From BLOG@CACM
The Software that Led to the Lockdown
One of the key drivers for the decision to lockdown the U.K. in late March 2020 was a computational epidemiological model developed at Imperial College, London....
From BLOG@CACM
Restoring Industry Participation in Computer Science Conferences
When I complained at ISCA 2019 about a lack of papers on real industrial products, I was assigned to help fix the problem.
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.
From BLOG@CACM
Computing Ethics and Teaching It
Ethics can and should be presented to computer science students in appropriate ways.
From BLOG@CACM
'Underrepresented Minority' Considered Harmful, Racist Language
The foundation of any collective action, of any community, is language. It influences how we feel, react, and understand.
From BLOG@CACM
Technology in the Time of Cataclysms
How is the development of technology, and its more basic cousin science, affected during such cataclysmic times?
From BLOG@CACM
Automatic Translators are Not Really Capable of Learning
One does not get the impression the Google Translate and DeepL translation programs are self-learning and have made real progress.
From BLOG@CACM
CS Teachers, It's (Past) Time To Learn About Race
We need to send the message that we are willing to change CS education in order to address historic and systemic inequities.
From BLOG@CACM
The Virus Analogy and Validation
The comparison between organic viruses and computer viruses is compelling. But why?
From BLOG@CACM
Is A (Nearly) Zero-Cost Model Plausible for Science and Engineering Programs?
Is a skill-based, multi-level win-win, and (almost) zero-cost model for undergraduate science and engineering programs in a research university plausible?
From BLOG@CACM