Leveraging Computational Thinking in the Era of Generative AI
The importance of computational thinking increases, and becomes essential, as generative AI applications come to the fore.
Koby Mike
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Author Archives
The Interdisciplinarity of Data Science from the Perspective of the MERge Model
Where should management be located in the data science Venn diagram?
Koby Mike and Orit Hazzan consider why multiple definitions are needed to pin down data science.
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.
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.
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.
Shape the Future of Computing
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