ABSTRACT: This paper examines the emerging paradigm of symbiotic communication systems between humans and artificial intelligence, focusing on the co-evolutionary patterns that are reshaping ...

For elementary students, math problem-solving often feels like a puzzle without all the pieces. They know there’s a solution somewhere, but they can’t quite see how it all fits together. Behind every ...

Like the rest of its Big Tech cadre, Google has spent lavishly on developing generative AI models. Google’s AI can clean up your text messages and summarize the web, but the company is constantly ...

'Python-Jumpstart-PY101', is a starter kit to learn PYTHON. It is the perfect guide to learn, improve and master the programming language, Python. A part of the problems in 'PY101' are based on the ...

Department of Mechanical Engineering, Stanford University, Stanford, California 94305, United States Precourt Institute for Energy, Woods Institute for the Environment, and Doerr School of ...

Middle East peace, climate change, Ukraine — if Sisyphus were assigned one of today’s global problems, he’d plead to be returned to rock rolling. So let’s focus for a moment on a global challenge that ...

What if the secrets to the universe’s most perplexing mathematical riddles were no longer locked away, but instead cracked open by an artificial mind? In a new development, OpenAI’s o3-mini model has ...

The ability to solve complex problems effectively has become a defining factor for success. Yet, despite the abundance of tools and methodologies available, I've noticed organizations often struggle ...

We all have times when we're shouldering the burden of a problem we can't solve right away. For example, you might receive a stressful letter on a Friday that requires calling a government office that ...

Practical word problems are often considered one of the most complex parts of elementary school mathematics. They require students to understand the context of a math problem, identify what the ...

Abstract: Programming knowledge tracing (programming KT) aims to analyze the dynamic programming states in solving problems based on historical behaviors and predict future performance. In programming ...