arrow
返回

Computer-supported example-based learning: When instructional explanations reduce self-explanations

delete2006-05-01
delete145
PRE
AI
S
Silke Schworm
A
Alexander Renkl
DOI:10.1016/j.compedu.2004.08.011delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
We investigated whether the findings from worked-out example research on the effects of self-explanation prompts and on instructional explanations can be generalized to other example types - in this case: solved example problems. Whereas worked-out examples consist of a problem formulation, solution steps, and the final solution, solved example problems merely provide the problem formulation and the solution. We employed a first module of a computer-based environment for student teachers presenting solved example problems from which they learned how to select and to design worked-out examples for high school students. The participants (47 student teachers for German low- and medium-track schools and 33 student teachers for high-track schools) were randomly assigned to the cells of our 2 x 2 design (with vs. without self-explanation prompts; with vs. without instructional explanations). The effects of the different program versions on objective and subjective learning outcomes, on the perceived helpfulness of the program, and on the learning time were analyzed. As learning process data, the written and spoken self-explanations were assessed. The following main results were obtained: Particularly self-explanation prompts had favorable effects on learning outcomes, whereas instructional explanations can reduce the student teacher's self-explanation activities and thereby the learning outcomes. Whereas objectively the most favorable learning outcomes were obtained when only self-explanation prompts were employed, the student teachers perceived their learning outcome best when only instructional explanations were provided. It can be concluded that the status of self-explanation prompts and of instructional explanations is comparable irrespective of the example type presented for learning. (c) 2004 Elsevier Ltd. All rights reserved.
Keyword:
computer-based prompting
worked-out examples
self-explanations
instructional explanations
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

C
Computers and Education
IF:
10.5
论文数:
5.0K
被引数:
2.9W

机构

暂无机构信息
引用论文

引用论文

Interstitial 1q23.3q24.1 deletion in a patient with renal malformation, congenital heart disease, and mild intellectual disability
err2016-06-03
err0
PREAI
errLuisa Mackenroth; Karl Hackmann; Barbara Klink; Julia Sara Weber; Brigitte Mayer; Evelin Schröck; Andreas Tzschach
err分享
err收藏
Mixed vortex states of light as information carriers
err2004-10-08
err0
errOAAI
errZdenek Bouchal; Radek Celechovský
err分享
err收藏
err分享
err收藏
err分享
err收藏
Isolation of teleost primordial germ cells using flow cytometry
err2010-01-01
err0
errOAAI
errRie Goto-Kazeto; Taiju Saito; Misae Takagi; Katsutoshi Arai; Etsuro Yamaha
err分享
err收藏
S-CMC-Lys-dependent stimulation of electrogenic glutathione secretion by human respiratory epithelium
err2005-11-11
err0
PREAI
errF. Guizzardi; S. Rodighiero; A. Binelli; S. Saino; E. Bononi; S. Dossena; M. L. Garavaglia; C. Bazzini; G. Bottà; M. Conese; L. Daffonchio; R. Novellini; M. Paulmichl; G. Meyer
err分享
err收藏
学者 查看更多内容