Koby Mike and Orit Hazzan consider why multiple definitions are needed to pin down data science.
Orit Hazzan
ChatGPT in Computer Science Education
Asked "How will ChatGPT influence computer science education?" teachers barely addressed the threats it poses.
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…
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.
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.
Up with Data Science, and the First Programmer
Orit Hazzan and Koby Mike suggest a more focused approach to teaching machine learning, while Herbert Bruderer considers the identity of the first programmer.
Three Risks Facing Higher Education
The implications of COVID-19 for risk management in higher education.
Opportunities of Data Science Education
Considering the six new and exciting opportunities that data science presents.
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?
Computational Thinking in the Era of Data Science
Incorporating data thinking into computer science education.
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