Task Relevant Information in Engineering Problem Solving

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 cluster 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.

[1]  Peter A. Frensch,et al.  The Role of Information Reduction in Skill Acquisition , 1996, Cognitive Psychology.

[2]  G. Logan.  Shapes of reaction-time distributions and shapes of learning curves: a test of the instance theory of automaticity. , 1992, Journal of experimental psychology. Learning, memory, and cognition.

[3]  K J Vicente,et al.  An ecological theory of expertise effects in memory recall. , 1998, Psychological review.

[4]  Hilde Haider,et al.  Information reduction during skill acquisition: The influence of task instruction , 1999 .

[5]  D.M. Mount,et al.  An Efficient k-Means Clustering Algorithm: Analysis and Implementation , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[6]  Joseph D. Novak,et al.  Meaningful learning: The essential factor for conceptual change in limited or inappropriate propositional hierarchies leading to empowerment of learners , 2002 .

[7]  Andrew W. Moore,et al.  X-means: Extending K-means with Efficient Estimation of the Number of Clusters , 2000, ICML.

[8]  H Stanislaw,et al.  Calculation of signal detection theory measures , 1999, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.

[9]  Amy L. Baylor,et al.  A U-shaped model for the development of intuition by level of expertise , 2001 .

[10]  Michael J. Wright,et al.  Reduction of task-relevant information in skill acquisition , 2003 .

[11]  H. Haider,et al.  Eye movement during skill acquisition: More evidence for the information-reduction hypothesis , 1999 .

[12]  J. Shanteau.  How much information does an expert use? Is it relevant? , 1992 .

[13]  Katharina Scheiter,et al.  The impact of problem order: Sequencing problems as a strategy for improving one's performance , 2002 .