Communications of the ACM
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The Interdisciplinarity of Data Science from the People Analytics Perspective: Part One
The case of a People Analytics Workshop for undergraduate computer science students.
From BLOG@CACM
How Scripting Misses the Mark
Scripting languages promise easy automation but prove difficult to learn. Let's stop focusing on simplified syntax and instead focus on understandability and learnability...
From BLOG@CACM
Your Job Can Be Done Better By My Algorithm
In our rarefied world of university teaching and learning, which jobs can be replaced by algorithms?
From BLOG@CACM
Data Anonymization Using the Random Sum Method
The purpose of this blog post is to present an anonymization method that can be applied to the digital attributes of personal data.
From BLOG@CACM
R&D or r&d: What's the Difference?
Research produces generalized knowledge; Development produces generalized functionality. Not all efforts that use research skills or that use development skills...
From BLOG@CACM
A Semester Virtual Institute
We organized a semester virtual institute in the academic metaverse with researchers from around the world.
From BLOG@CACM
Reflection Pre-learning in Computer Science Courses
Our experience with reflection pre-learning in a MOOC on computational thinking that we developed and currently teach.
From BLOG@CACM
How to Teach Mathematical Disciplines for IT Specialties
Revision of the foundations of teaching mathematics for IT specialties is needed.
From BLOG@CACM
Anti-Racist Computing Education: No More Excuses
On this #MLKDay, a list of resources to help center racial equity and justice in CS classrooms and a reminder that the CS Education community must make good on...
From BLOG@CACM
Changes in the Technion's Teaching Strategies During the Pandemic
This post describes three significant changes that took place during the pandemic in the instructional strategies at the Technion – Israel Institute of Technology...
From BLOG@CACM
Finding a Path to CS for All: How Many U.S. High School Students Have Taken CS?
How do we measure progress towards CS for All?
From BLOG@CACM
Framing the Description of the Shrinking Pipeline
The shrinking pipeline refers to the low percentages of women earning computer science academic degrees and holding faculty positions.
From BLOG@CACM
Computational Thinking: The Discussion Continues
Perspectives on computational thinking.
From BLOG@CACM
AI Education for Teens: Lifting the Hood on Data and Machine Learning
What are key ideas and intuitions foundational to AI that AI education in secondary schools should target? This blog post describes our approach to teaching AI...
From BLOG@CACM
Publishing, The Choice and The Luck
Selecting publishing targets is a process with no simple solutions.
From BLOG@CACM
Major Investments in U.S. CS Education on the Long Road to CS for All
The 2021 CSEdCon featured big investments in growing Computer Science Education in the U.S.
From BLOG@CACM
Safe AI in Education Needs You
Artificial intelligence is coming to your learners and will raise challenging issues that need experts like you. Learn how you can get involved in AI and Educational...
From BLOG@CACM
Reinforcing Computer Science Education
What do computer science students need to know to be successful in industry?
From BLOG@CACM
Students are Interested in People, and Teachers Value Multiple Languages: ICER 2021 Pointers
A couple of excellent papers from the International Computing Education Research conference.
From BLOG@CACM