The representational epistemic approach to the design of visual displays and notation systems advocates encoding the fundamental conceptual structure of a knowledge domain directly in the structure of a representational system. It is claimed that representations so designed will benefit from greater semantic transparency, which enhances comprehension and ease of learning, and plastic generativity, which makes the meaningful manipulation of the representation easier and less error prone. Epistemic principles for encoding fundamental conceptual structures directly in representa-tional schemes are described. The diagrammatic recodification of probability theory is undertaken to demonstrate how the fundamental conceptual structure of a knowledg...
It is quite widely acknowledged, in the field of cognitive science, that the format in which a set o...
An important aspect of cognitive science is the study of how people represent knowledge. A more spec...
Six characteristics of effective representational systems for conceptual learning in complex domains...
The representational epistemic approach to the design of visual displays and notation systems advoca...
It is claimed that the current representations used for probability theory provides a poor codifica...
Abstract. The timeworn claim that a picture is worth a thousand words is generally well-supported by...
Ideas about sets are foundational to our understanding of many knowledge domains. And cognitive sci...
The aim of the current study was to examine the effects of providing support in the form of tools fo...
The aim of the current study was to examine the effects of providing support in the form of tools fo...
inference, theorem proving Humans employ diagrams and other pictures, both real and imagined, as aid...
This paper presents a taxonomy of 19 cognitive criteria for judging what constitutes effective repre...
Six characteristics of effective representational systems for conceptual learning in complex domains...
Six characteristics of effective representational systems for conceptual learning in complex domains...
Paper tpresented at the international conference Model-Based Reasoning in Science and Technology (MB...
Reasoning with diagrams : cognitive and computational perspectives. Diagrammatic, analogical or ico...
It is quite widely acknowledged, in the field of cognitive science, that the format in which a set o...
An important aspect of cognitive science is the study of how people represent knowledge. A more spec...
Six characteristics of effective representational systems for conceptual learning in complex domains...
The representational epistemic approach to the design of visual displays and notation systems advoca...
It is claimed that the current representations used for probability theory provides a poor codifica...
Abstract. The timeworn claim that a picture is worth a thousand words is generally well-supported by...
Ideas about sets are foundational to our understanding of many knowledge domains. And cognitive sci...
The aim of the current study was to examine the effects of providing support in the form of tools fo...
The aim of the current study was to examine the effects of providing support in the form of tools fo...
inference, theorem proving Humans employ diagrams and other pictures, both real and imagined, as aid...
This paper presents a taxonomy of 19 cognitive criteria for judging what constitutes effective repre...
Six characteristics of effective representational systems for conceptual learning in complex domains...
Six characteristics of effective representational systems for conceptual learning in complex domains...
Paper tpresented at the international conference Model-Based Reasoning in Science and Technology (MB...
Reasoning with diagrams : cognitive and computational perspectives. Diagrammatic, analogical or ico...
It is quite widely acknowledged, in the field of cognitive science, that the format in which a set o...
An important aspect of cognitive science is the study of how people represent knowledge. A more spec...
Six characteristics of effective representational systems for conceptual learning in complex domains...