Pearson, Kim
What is a simple way to explain computational thinking? What is logic programming in artificial intelligence? Is graph theory used in machine learning? How did computers function before microprocessors? What is an argument in computer science?
In a computational algorithm, a step such as “Choose a large number” is vague: what is large? 1 million, 1 billion, or 100? Does the number have to be different each time, or can the same number be used again? An algorithm expects a defined set of inputs. For example,...
Shuchi Grover, a former senior research scientist at SRI International’s Center for Technology in Learning, wrote recently in EdSurge that computational thinking should be the 5th 'C' of 21st century skills. "There is growing recognition in the education systems around the globe that being able...
In recent years, computational thinking (CT) initiatives have been increasing in both research and practice. Although the importance of students’ resilience and computational identity in the CT development process is recognized, more research is needed on their role on students’ CT skills. Therefore...
“Unplugged” approach to assessing CT. One of the most widely used forms of this is the “Bebras” challenge,Footnote3which is a test of computational problem solving that doesn’t require the use of a programming language [34,57]. Hubwieser and Mühling [68] explore the idea of using ...
Computational Thinking (CT) is seen as an important competence that is required in order to adapt to the future. However, educators, especially K-12 teachers and researchers, have not clearly identified how to teach it. In this study, a meta-review of the studies published in academic journal...
1. What is game theory? 2. Explain how Southwest Airlines used the game theory approach to increase its profits. What are 5 different inferential statistical techniques in business analytics? How can I use psychological mathematical modelling as...
Here are all the metrics that can be used to evaluate the performance of a Generative AI model: 1. Common Evaluation Metrics 1.1. Accuracy This is a common metric for assessing how well a machine-learning model performs. It’s calculated by dividing the correct predictions by the total predic...
Well, actually, it isn’t. Because all possible rules are used. And we’re building upwhat I call the ruliad: the deeply abstract but unique object that is the entangled limit of all possible computational processes. Here’s a tiny fragment of it shownin terms of Turing machines...