Task relevant information in engineering problem solving

被引：11
|
作者：
Kumsaikaew, Piyamart
Jackman, John
Dark, Veronica J.
机构：
[1] Iowa State Univ, Dept Ind & Mfg Syst Engn, Ames, IA 50011 USA
[2] Iowa State Univ, Dept Psychol, Ames, IA 50011 USA
来源：
JOURNAL OF ENGINEERING EDUCATION | 2006年 / 95卷 / 03期
关键词：
duster analysis; information reduction; problem solving; signal detection theory;
D O I：
10.1002/j.2168-9830.2006.tb00895.x
中图分类号：
G40 [教育学];
学科分类号：
040101 ; 120403 ;
摘要：
Identifying task relevant information in an engineering problem solving environment is a critical step in the problem solving process. An experiment was conducted in which engineering students identified task relevant information in a set of engineering problems that differed in terms of information density and relevant information distribution. Signal Detection Theory and duster analysis were used to analyze the results. As expected, students with more expertise were more successful in identifying task relevant information. Other results suggest that the structure of problem descriptions can affect student performance.
引用
收藏
页码：227 / 239
页数：13
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