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Know-How and Workplace Practical Judgement   总被引:1,自引:0,他引:1  
In workplace situations of all kinds novices are transformed by experience of practice into highly proficient practitioners. How are we to understand this change which appears to be as much a qualitative one as it is a quantitative one? This paper argues that the available resources for understanding the informal learning that occurs during the course of successful workplace practice are somewhat limited. Theories about know‐how are criticised for shedding little light on this topic. The notion of tacit knowledge is also rejected as unhelpful. The development of judgement is proposed as a more promising way to understand the phenomenon. A consideration of four main dimensions of contextuality is used as a lead into an account of eleven key features of workplace practical judgement.  相似文献   
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The purpose of this study was to develop a regression equation to predict maximal oxygen uptake (VO2max) based on nonexercise (N-EX) data. All participants (N = 100), ages 18-65 years, successfully completed a maximal graded exercise test (GXT) to assess VO2max (M = 39.96 mL x kg(-1) x min(-1), SD = 9.54). The N-EX data collected just before the maximal GXT included the participant's age; gender; body mass index (BMI); perceived functional ability (PFA) to walk, jog, or run given distances; and current physical activity (PA-R) level. Multiple linear regression generated the following N-EX prediction equation (R = .93, SEE = 3.45 mL x kg(-1) x min(-1), % SEE = 8.62): VO2max (mL x kg(-1) x min(-1)) = 48.0730 + (6.1779 x gender; women = 0, men = 1) - (0. 2463 x age) - (0.6186 x BMI) + (0.7115 x PFA) + (0.6709 x PA-R). Cross validation using PRESS (predicted residual sum of squares) statistics revealed minimal shrinkage (R(p) = .91 and SEE(p) = 3.63 mL x kg(-1) x min(-1)); thus, this model should yield acceptable accuracy when applied to an independent sample of adults (ages 18-65 years) with a similar cardiorespiratory fitness level. Based on standardized beta-weights, the PFA variable (0.41) was the most effective at predicting VO2max followed by age (-0.34), gender (0.33), BMI (-0.27), and PA-R (0.16). This study provides a N-EX regression model that yields relatively accurate results and is a convenient way to predict VO2max in adult men and women.  相似文献   
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