Cascade Explains and Informs the Utility of Fading Examples to Problems
Year: 2001
Type: conference-paper
Abstract: Recent research demonstrates that people learn to solve problems more effectively when presented with a series of faded examples and problems, than when presented with completely worked out examples and completely unsolved problems alone.We propose an explanation for this effect, based on the Cascade model.Cascade was originally built to model the self-explanation effect, but it also accounts for other aspects of human learning and problem solving strategies.A relatively straightforward application of Cascade, without alteration, also explains why fading might be beneficial.This explanation provides further support for Cascade as an accurate model of human learning and problem solving, and it also augments the results on fading with specific insight into how, and when, example fading should be effective.
Authors: Randolph M. Jones, Eric S. Fleischman
Language: English
Subfield: Experimental and Cognitive Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W2767277073