Research metadata is all around the University of Arizona campus, but the challenge is to collect, connect, analyze, and make it useful. The research metadata includes publications, proposals, grants, ...

When we learn something new, that information does not exist in isolation. It integrates into the complex landscape of our knowledge, forging connections with existing ideas and opening up ...

Dartmouth researchers have developed a mathematical framework that uses short multiple-choice quizzes and AI text embedding models to map individual students’ conceptual knowledge. The system ...

The Washington Post’s Knowledge Map aims to diminish that frustration by embedding context and background directly in a story. (We wrote about it briefly when it debuted earlier this month.) ...

A 3D map of the average knowledge for all 50 participants recruited to test the Dartmouth framework after watching two video lectures on physics. The spheres are coordinates produced with AI-related ...

This meta-analysis reviews experimental and quasi-experimental studies in which students learned by constructing, modifying, or viewing node-link diagrams. Following an exhaustive search for studies ...

Often, Large Language Models (LLMs) like GPT are oversimplified as mere predictors of the next word in a sentence. This view, however, scarcely scratches the surface of their intricate design and ...

Mind Maps in Biochemistry presents a series of concept and knowledge maps about biochemical compounds, systems and techniques. The book illustrates the relationships between commonly used terms in the ...