Paper Info
Title
Example-Based Learning: Effects Of Different Types Of Examples On Student Performance, Cognitive Load And Self-Efficacy In A Statistical Learning Task
Abstract
Previous research has indicated the disconnect between example-based research focusing on worked examples (WEs) and that focusing on modeling examples. The purpose of this study was to examine and compare the effect of four different types of examples from the two separate lines of research, including standard WEs, erroneous WEs, expert (masterly) modeling examples, and peer (coping) modeling examples, on student performance (knowledge retention, near transfer, and far transfer), cognitive load, and self-efficacy. One hundred and sixteen students participated in the study by undergoing computer-based instruction in one of the four versions differing in how examples were provided. The results showed that, overall, expert modeling examples were most effective in promoting knowledge retention, near transfer, and far transfer, while peer modeling examples were shown to be superior in fostering self-efficacy among the four different types of examples.
Year
DOI
Venue
2017
10.1080/10494820.2015.1121154
INTERACTIVE LEARNING ENVIRONMENTS
Keywords
Field
DocType
Example-based learning, worked examples, modeling examples, cognitive load theory, self-efficacy
Computer-Assisted Instruction,Computer science,Coping (psychology),Transfer of training,Knowledge management,Teaching method,Self-efficacy,Academic achievement,Cognition,Cognitive load
Journal
Volume
Issue
ISSN
25
3
1049-4820
Citations 
PageRank 
References 
0
0.34
4
Authors
1
Name
Order
Citations
PageRank
xiaoxia huang131.06