Machine Learning Support for Human Articulation of Concepts from Examples – A Learning Framework
Author(s): Gabriela Pavel Keywords: concept learning – machine learning – visual environment – learning framework
Abstract:
We aim to show that machine learning methods can provide meaningful feedback to help the student articulate concepts from examples, in particular from images. Therefore we present here a framework to support the learning through human visual classifications and machine learning methods.
In the article the sentence:
Images help people externalize their intuitive knowledge, within a process called articulation, or transfer from tacit to explicit knowledge.
Caught my eye.
The process of authoring of topic maps is articulation, or transfer from tacit to explicit knowledge.
The paper addresses the use of images to teach concepts represented in images but also from students their tacit knowledge of the concepts represented in images.
If that seems a bit mundane, imagine intelligence authors scanning images of people or locales and adding their tacit knowledge to a shareable data store.