This report presents three studies concerned with learning how to operote o simple control panel device, and how this learning is affected by understanding a device model that describes the internal mechanism of the device. The first experiment compared two groups, one of which learned o set of operoting procedures for the device by rote, and the other learned the device model before receiving ...

Animated demonstrations have been created due to the development of direct manipulation interfaces and the need for faster learning, so that users can learn interface procedures by watching. To compare animated demonstrations with written inst~~ions we observed users learning and performing HyperCardTMS authoring tasks on the Ma~nt~h~ during three performance sessions. In the training session, ...

A new learning algorithm: Consolidated Learning Algorithm based on Relational Evidence Theory (CLARET) is presented, which integrates a machine learning methods with graph matching techniques. A systematic approach to nding interpretations is demonstrated for an on-line, hand drawn, schematic diagram and symbols recognition system. The approach uses an adaptive representational bias and search ...

The introduction of e-learning resources into education systems, rests on the premise that the integration of technology into educational-curriculum promises to enhance students’ learning experience. The impetus of using elearning systems is to facilitate the students’ learning processes, through the deployment of an enriched curriculum, multimedia-based teaching-learning materials, innovative ...

VEMiTV project involves the establishing of t-learning potential on a specific educational setting: elementary schools. This document describes the working hypothesis and the usability and cognitive procedures being followed in that project, while at the same time discusses t-learning potential as a formal or informal learning strategy.

The generalized delta rule (which is also known as error backpropagation) is a significant advance over previous procedures for network learning. In this paper, we compare network learning using the generalized delta rule to human learning on two concept identification tasks: • Relative ease of concept identification • Generalizing from incomplete data