scholarly journals Goal specificity and knowledge acquisition in statistics problem solving: Evidence for attentional focus

2004 ◽  
Vol 32 (8) ◽  
pp. 1379-1388 ◽  
Author(s):  
David L. Trumpower ◽  
Timothy E. Goldsmith ◽  
Melissa J. Guynn
2008 ◽  
Vol 22 (2) ◽  
pp. 77-101 ◽  
Author(s):  
Holli McCall ◽  
Vicky Arnold ◽  
Steve G. Sutton

ABSTRACT: In an era where knowledge is increasingly seen as an organization's most valuable asset, many firms have implemented knowledge-management systems (KMS) in an effort to capture, store, and disseminate knowledge across the firm. Concerns have been raised, however, about the potential dependency of users on KMS and the related potential for decreases in knowledge acquisition and expertise development (Cole 1998; Alavi and Leidner 2001b; O'Leary 2002a). The purpose of this study, which is exploratory in nature, is to investigate whether using KMS embedded with explicit knowledge impacts novice decision makers' judgment performance and knowledge acquisition differently than using traditional reference materials (e.g., manuals, textbooks) to research and solve a problem. An experimental methodology is used to study the relative performance and explicit knowledge acquisition of 188 participants partitioned into two groups using either a KMS or traditional reference materials in problem solving. The study finds that KMS users outperform users of traditional reference materials when they have access to their respective systems/materials, but the users of traditional reference materials outperform KMS users when respective systems/materials are removed. While all users improve interpretive problem solving and encoding of definitions and rules, there are significant differences in knowledge acquisition between the two groups.


1993 ◽  
Vol 8 (1) ◽  
pp. 5-25 ◽  
Author(s):  
William Birmingham ◽  
Georg Klinker

AbstractIn the past decade, expert systems have been applied to a wide variety of application tasks. A central problem of expert system development and maintenance is the demand placed on knowledge engineers and domain experts. A commonly proposed solution is knowledge-acquisition tools. This paper reviews a class of knowledge-acquisition tools that presuppose the problem-solving method, as well as the structure of the knowledge base. These explicit problem-solving models are exploited by the tools during knowledge-acquisition, knowledge generalization, error checking and code generation.


1992 ◽  
Vol 23 (1-4) ◽  
pp. 459-462
Author(s):  
Kent E. Williams ◽  
John Deighan ◽  
Tim Kotnour

2010 ◽  
Vol 44-47 ◽  
pp. 4081-4083
Author(s):  
Qi Fan ◽  
Ying Zhang ◽  
Ling Hua Jiang ◽  
Yuan Li ◽  
Feng Hou

Knowledge acquisition is the first step in building an expert system. However, it is very difficult to find out the problem-solving approaches from a human expert completely and correctly. Here we implemented the Think-aloud experiment with an expert in architecture. By coding and analyzing the designing process, other researchers could proceed our research and find out the cognitive models corresponded to the approaches and strategies of how experts solved the problems encountered during the normal designing process.


1987 ◽  
Vol 11 (6) ◽  
pp. 665-685 ◽  
Author(s):  
Hans Spada ◽  
Klaus Opwis ◽  
Jacques Donnen ◽  
Martin Schwiersch ◽  
Andreas Ernst

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