Communications of the ACM
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From BLOG@CACM
Ethics and Equity in AI for Collaborative Learning
In designing collaborative learning, design AI features using realistic examples of students’ learning; support teachers' awareness; develop students' sense of...
From BLOG@CACM
Stop Judging AI Using Human Exams
Computer scientists should inform the public that human tests are not a valid way to judge the quality of an AI model, nor a good way to compare AI models to human...
From BLOG@CACM
AI in the Public Interest: Education and Democracy
Now is a critical time to vigorously pursue public interests in education and to avoid a slippery slide into yielding public governance to an entirely private market...
From BLOG@CACM
ChatGPT for Provost!
Three to five years from now, we won’t be talking about what ChatGPT can or can’t do, but we could be talking about how ChatGPT brought us all together, and the...
From BLOG@CACM
The ChatAlgebra Educational Revolution
We need a ChatAlgebra revolution to reduce the gatekeeping role of the traditional Algebra course, to ameliorate the student suffering associated with the traditional...
From BLOG@CACM
Reflections on the AI Bill of Rights Blueprint
The White House Office of Science and Technology Policy has released a "Blueprint for an AI Bill of Rights." I reflect on this milestone document in the context...
From BLOG@CACM
Four Conversations About Human-Centric AI
I discuss the different conversations, their limits, and what we really need to be talking about.
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
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
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
Inclusive Integration of Computing in School Districts: Two Essential Tradeoffs
When integrating computer science and computational thinking in a school district through inclusive learning pathways, school district leaders face challenging...
From BLOG@CACM
AI or Intelligence Augmentation for Education?
Applications of artificial intelligence to education are spreading and intensifying, but we have the acronym backwards. Building ethical, equitable applications...
From BLOG@CACM
Computers for Learning: Charisma that Fails to Disrupt?
Two books examine why large-scale learning technology often doesn’t achieve expectations. Technology can improve learning at scale, but charismatic stories about...
From BLOG@CACM
Why Focus on Technologies for Human Learning?
By choosing human learning as a topic area, computer scientists can contribute to major societal challenges, win grants in additional programs, and tackle new computer...
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
Learning Computational Thinking to Dominate the Music Industry
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...
From BLOG@CACM
Computational Thinking or Computational Teamwork?
Computational thinking can sound like "CS-minus." Is there a "CS-plus" that makes CS more attractive and approachable by all?
From BLOG@CACM