Title
Retracted: Worked Examples Are More Efficient For Learning Than High-Assistance Instructional Software (Retracted Article. See Vol. 26, Pg. 1117, 2016)
Abstract
The 'assistance dilemma', an important issue in the Learning Sciences, is concerned with how much guidance or assistance should be provided to help students learn. A recent study comparing three high-assistance approaches (worked examples, tutored problems, and erroneous examples) and one low-assistance (conventional problems) approach, in a multi-session classroom experiment, showed equal learning outcomes, with worked examples being much more efficient. To rule out that the surprising lack of differences in learning outcomes was due to too much feedback across the conditions, the present follow-up experiment was conducted, in which feedback was curtailed. Yet the results in the new experiment were the same: there were no differences in learning outcomes, but worked examples were much more efficient. These two experiments suggest that there are efficiency benefits of worked example study. Yet, questions remain. For instance, why didn't high instructional assistance benefit learning outcomes and would these results hold up in other domains?
Year
DOI
Venue
2015
10.1007/978-3-319-19773-9_98
ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2015
Keywords
Field
DocType
Assistance dilemma, Classroom studies, Empirical studies, Worked examples, Erroneous examples, Tutored problems to solve, Problem solving
Learning sciences,Computer science,Software,Artificial intelligence,Dilemma,Empirical research,Machine learning
Conference
Volume
ISSN
Citations 
9112
0302-9743
2
PageRank 
References 
Authors
0.51
0
5
Name
Order
Citations
PageRank
Bruce M. Mclaren11110114.30
Tamara van Gog227229.97
Craig Ganoe311811.72
David Yaron46310.02
Michael Karabinos5303.68