Communications of the ACM
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ChatGPT (and Other Generative AI Applications) as a Disruptive Technology for Computer Science Education: Obsolescence or Reinvention
Generative AI may turn out to be disruptive technologies for computer science education, but generative AI can also be conceived…
From BLOG@CACM
Deciding When the Design is Wrong in Programming Languages and Education
When do we decide that errors are due to bad design in programming languges and education?
From BLOG@CACM
Learning Computer Science Is Different Than Learning Other STEM Disciplines
Learning computer science has unique challenges that make it harder than learning other STEM disciplines.
From BLOG@CACM
The Real Costs of a Computer Science Teacher Are Opportunity Costs, and Those Are Enormous
It is hard to convince people to become CS teachers (K–12 or University) when the opportunities elsewhere are so lucrative.
From BLOG@CACM
How Much CS Ed Will $1.3B Buy You? Not Enough to Reach Every U.S. School, Nor Every Child
The White House promises $200M/year for CS Ed, and the Tech industry promises $300M over 5 years. What can we get for that?
From BLOG@CACM
Measuring Student Self-Efficacy and Learning Trajectories For K-5 CS: ICER 2017 Trip Report
ICER 2017 features a new test of student belief and new theory about K-5 CS learning.
From BLOG@CACM
Coding in Schools as New Vocationalism: Larry Cuban on What Schools Are For
What are schools for, and is coding a necessary part of that?
From BLOG@CACM
CS Education on Tablets For CS for All (#Tablets4CS For #CSforAll)
If we design CS education for tablets, everyone will learn better.
From BLOG@CACM
Will Machine Learning Prevent S From Achieving the Goals of Teaching Computing to Everyone?
At TURC, ACM leaders consider the future of AI, and I ask about the implications for computing education
From BLOG@CACM
Evaluating Computer Science Undergraduate Teaching: Why Student Evaluations Are Likely Biased
Unconscious bias is pervasive in computing, and training is our best remedy, how can untrained students evaluate their CS teachers without bias?
From BLOG@CACM
Generation CS: When Undergraduates Realized They Needed Computing
A new Computing Research Association report describes the dramatic influx of undergraduates into computer science classes.
From BLOG@CACM
'Figure It Out' Isn't Enough: Striking a New Balance Between Understanding, Problem-Solving, and Design in Introductory CS Classes
Intro CS courses should help students understand programs more and problem-solve less.
From BLOG@CACM
Taking Incremental Steps Towards CS For All
U.S. states are developing novel, incremental approaches to CS for All.
From BLOG@CACM
Designing the Activities For a 'Computing Lab' to Support Computational Literacy
Developing the teaching techniques so everyone develops computational literacy skills.
From BLOG@CACM
Geek Gene, Teacher and Student Self-Efficacy, and the Problem of Python's Self: A Report on ICER 2016
A report on ICER 2016 paper awardees, CS teaching and grading, student self-confidence, and the problems of using Python.
From BLOG@CACM
14 Years of a Learner-Centered Python IDE
How we thought about the JES pedagogical programming environment for students over the last 14 years.
From BLOG@CACM
Meeting the Need For CSP at Georgia Tech
In November, I encouraged CS departments to create AP CS equivalent classes. I tried to make one at my institution, but realized that we were already there.
From BLOG@CACM
Five Principles For Programming Languages For Learners
Five considerations when choosing a programming language for schools
From BLOG@CACM
Using Other STEM Disciplines to Predict Future Computing Education
A recent AAAS Symposium on STEM Education provides the opportunity to compare computing education to other STEM education.
From BLOG@CACM
CS Classes Have Different Results Than Laboratory Experiments – Not in a Good Way
Why is it that the predictors of success in CS classes are not predictors in experiments?
From BLOG@CACM