Communications of the ACM
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From BLOG@CACM
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 of as an opportunity for computer...
From BLOG@CACM
The Interdisciplinarity of Data Science from the Perspective of the MERge Model
Where should management be located in the data science Venn diagram?
From BLOG@CACM
ChatGPT in Computer Science Education: Freshmen's Perceptions
Exploring freshmen's conceptions of the impact of ChatGPT on computer science education.
From BLOG@CACM
An Organizational Perspective on the Process of Adopting Executable Exams
We analyze the organizational change that took place at the Technion when the assessment method in the CS1 course changed from paper-based exams to executable exams...
From BLOG@CACM
Exponential Protests
Exponential organizations offer an appropriate organized structure for the current Israeli protest, and maybe for other cases of civil resistance.
From BLOG@CACM
Teaching Data Science Research Methods to Human Resources Practitioners – Part 4
We believe programming experience is crucial for human resources practitioners in the data and tech era.
From BLOG@CACM
Creating Organizational Sustainability by Connecting to National Core Values
The FIRST ISRAEL organization is working to increase its presence in the Israeli geographic periphery by exploiting Israel's social orientation and its strength...
From BLOG@CACM
Teaching Data Science Research Methods to Human Resources Practitioners: Part Three
How we took advantage of students' expertise in the application domain component of data science.
From BLOG@CACM
Teaching Data Science Research Methods to Human Resources Practitioners: Part Two
"When I heard we will be learning Python, I became anxious."
From BLOG@CACM
Teaching Data Science Research Methods to Human Resources Practitioners: Part One
The challenge was to teach data science concepts to students who have gaps in their computer science background and are experts in human resources management and...
From BLOG@CACM
ChatGPT in Computer Science Education
Asked "How will ChatGPT influence computer science education?" teachers barely addressed the threats it poses.
From BLOG@CACM
On the Evolution of Languages: Natural, Mathematical, and Computational
Comparing the evolution of natural languages, which are used by people all over the world, with two artificial languages: the language of mathematics and programing...
From BLOG@CACM
Why Is It Hard to Define Data Science?
Data science can be described as a science, as a research paradigm, as a research method, as a discipline, as a workflow, and as a profession.
From BLOG@CACM
The Process-Object Duality in Computer Science and Data Science Education
The process-object duality has several educational implications for the design of teaching and learning processes.
From BLOG@CACM
Three Risks Facing Higher Education
The implications of COVID-19 for risk management in higher education.
From BLOG@CACM
Opportunities of Data Science Education
Considering the six new and exciting opportunities that data science presents.
From BLOG@CACM
Mitigating the Base-Rate Neglect Cognitive Bias in Data Science Education
How can machine learning educators help learners cope with the base rate neglect cognitive bias?
From BLOG@CACM
The Base-Rate Neglect Cognitive Bias in Data Science
Using Bayes' Theorem, the correct answer to both the medical diagnosis problem and to the lion classification question, can be calculated.
From BLOG@CACM
Machine Learning: Out! Data Science: In!
We propose to stop teaching machine learning courses to populations whose core discipline is neither computer science nor mathematics and statistics.
From BLOG@CACM