AD-A 275 474 Individual Differences in Planning-Related Activities for Simple Digital Circuit Design ' 1

Assessment of complex cognitive tasks requires an understanding of the characteristics of expertise in the specific domain. The research reported in this paper was part of a larger project whose goal was to distinguish among levels of expertise in digital circuit design. This study examined the problem solving characteristics of seven electrical engineering students, five undergraduates and two advanced graduate students. They were asked to design a simple combinational logic digital circuit. This type of circuit can be designed using a standard procedure and set of components but there are issues of optimization that enhance a standard design. Subjects provided think-aloud protocols during the solution process. Videotapes and the handwritten artifacts created during the design process were coded for standard components, optimization, and discrete behavioral episodes, a subset of which defined Planning-Related Activity. Contrary to previous contrastive analyses of expertise, all subjects showed evidence of planning. However, the function and location of the planning differentiated among subjects. Global planning, planning associated with moving from one component to the next, and selecting among alternatives were associated with better circuit designs. Local planning dominated the problem solving of the less expert designers. Implications for the assessment of expertise are discussed. Digital Circuit Design 1

[1]  Yvonne Koch The Psychology Of Learning And Motivation , 2016 .

[2]  Jill H. Larkin,et al.  The Role of Problem Representation in Physics , 2014 .

[3]  Janet L. Starkes,et al.  Motor-skill experts in sports, dance, and other domains. , 1991 .

[4]  R. J. Borns,et al.  Digital Logic: Analysis, Application and Design , 1991 .

[5]  Vinod Goel,et al.  Motivating the Notion of Generic Design within Information-Processing Theory: The Design Problem Space , 1989, AI Mag..

[6]  Thomas G. Dietterich,et al.  A model of the mechanical design process based on empirical data , 1988, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[7]  Timothy A. Post,et al.  On the solving of ill-structured problems. , 1988 .

[8]  R. Glaser,et al.  Expertise in a complex skill: Diagnosing x-ray pictures. , 1988 .

[9]  Herbert A. Simon,et al.  THE MIND'S EYE IN CHESS , 1988 .

[10]  Kate Ehrlich,et al.  Knowledge and processes in the comprehension of computer programs. , 1988 .

[11]  Michelene T. H. Chi,et al.  Self-Explanations: How Students Study and Use Examples in Learning To Solve Problems. Technical Report No. 9. , 1987 .

[12]  D. Berger,et al.  A Task Analysis of Algebra Word Problems , 1987 .

[13]  D. Gentner Expertise in Typewriting. , 1984 .

[14]  Mark Weiser,et al.  Programming Problem Representation in Novice and Expert Programmers , 1983, Int. J. Man Mach. Stud..

[15]  W. Chase Spatial Representations of Taxi Drivers , 1983 .

[16]  Michael J. Prietula,et al.  Expertise and Error in Diagnostic Reasoning , 1981, Cogn. Sci..

[17]  Michelene T. H. Chi,et al.  Expertise in Problem Solving. , 1981 .

[18]  Paul J. Feltovich,et al.  Categorization and Representation of Physics Problems by Experts and Novices , 1981, Cogn. Sci..

[19]  D E Egan,et al.  Chunking in recall of symbolic drawings , 1979, Memory & cognition.

[20]  Akin Ömer,et al.  Models of Architectural Knowledge - An Information Processing Model of Design , 1979 .

[21]  D. Norman,et al.  To Ask a Question, One Must Know Enough to Know What Is Not Known. Report No. 7802. , 1978 .

[22]  Dorothea P. Simon,et al.  Individual Differences in Solving Physics Problems (1978) , 1978 .

[23]  M. Chi Knowledge structures and memory development. , 1978 .

[24]  Judith S Reitman,et al.  Skilled perception in Go: Deducing memory structures from inter-response times , 1976, Cognitive Psychology.

[25]  Adel Tewfik-Khalil Foz,et al.  Some observations on designer behavior in the parti. , 1972 .