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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
#### Validity and Reliability in Data Science: An Interdisciplinary Perspective

We examine the essence of the components of data science, as well as their interrelations, from the educational perspective.

From BLOG@CACM
#### The Expression of the Rhetorical Triangle in Data Science

In data science, good storytelling means that data-driven solutions are communicated clearly, concisely, and directly to each relevant target audience group.

From BLOG@CACM
#### Reflection Pre-learning in Computer Science Courses

Our experience with reflection pre-learning in a MOOC on computational thinking that we developed and currently teach.

From BLOG@CACM
#### Changes in the Technion's Teaching Strategies During the Pandemic

This post describes three significant changes that took place during the pandemic in the instructional strategies at the Technion – Israel Institute of Technology...

From BLOG@CACM
#### Framing the Description of the Shrinking Pipeline

The shrinking pipeline refers to the low percentages of women earning computer science academic degrees and holding faculty positions.

From BLOG@CACM
#### Computational Thinking: The Discussion Continues

Perspectives on computational thinking.

From BLOG@CACM
#### Supervising a Doctoral Thesis: Lessons and Guidelines

Presenting 10 guidelines for supervising graduate students, focusing on the supervision process of doctoral students.

From BLOG@CACM
#### The Solar System from the Computational Thinking Perspective

We describe our choice of the solar system as one of the main illustrative examples used in our MOOC on computational thinking.

From BLOG@CACM
#### The Triad of Graduate Studies

The Research Community, Research Subject, and Research Process.

From BLOG@CACM
#### 10 Tips for Implementing Executable Exams

The focus is on executable exams for an Introduction to Computer Science course.

From BLOG@CACM
#### A MERge Analysis of an Organizational Change: The Case of Internalization at Home

How the Technion assimilated its international activities into its other units’ activities and, at the same time, reduced operational costs related to its international...

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