The recursive practice of research and teaching: reframing teacher education

As a field, Teacher Education has lived with continued criticism from governmental and research bodies on the quality of professional preparation and the lack of a strong research base. We respond to such criticisms by considering possibilities for further exploration of the research of practice and the practice of research in both initial and continuing teacher education. As both a theoretical and methodological challenge, this is tied recursively with research and practice in teacher education, for teacher educators, about teacher education. We draw on the theoretical resources of practice theories, to argue that teacher education practice must be informed by the study of the practice of teaching as well as research addressing the teaching of practice. In conclusion, we make a methodological case for reframing the roles of teacher and researcher within a “thirdspace” to consider the practice of researching teaching as recursive and always regenerative.     

The Effects of Types of Training on Support of Training Among Corporate Managers

With organizations becoming leaner during times of cost consciousness, it is becoming critical that training departments demonstrate their contributions to their bottom lines by becoming more productivity based than they have been historically. For training professionals to obtain the needed financial and organizational support of their training efforts, top management should corroborate the training function. To gain this support, training professionals have evaluation procedures available to them. My purpose for conducting this study was to determine which type of training evaluation method (reaction, learning, behavior, or results) elicited the most management support of the training function among corporate managers. I designed and distributed a case study survey instrument (TEMS) to assess the extent of this support. MBA students with management experience and non-training managers participated in the study. For both samples, the data indicated that the results evaluation format received the most support, with progressively less support for behavior, learning, and reaction evaluations, respectively. I believe that this study provides training practitioners with a mandate for demonstrating training results to top management. It further gives an accountability system for gaining management support of the training function.     

Maximal heart rate declines linearly with age independent of cardiorespiratory fitness levels

There have been many conflicting observations between the linear or curvilinear decline in maximal heart rate (HR_max) with age. The aim of this study was to determine if linear or curvilinear equations would better describe the decline in HR_max with age in individuals of differing cardiorespiratory fitness (CRF) levels. Treadmill cardiopulmonary exercise test (CPX) results from participants (1510 men and 1134 women; 18–76 years) free of overt cardiovascular disease were retrospectively examined using cross-sectional and longitudinal study designs. Participants completing ≥2 CPX with ≥1 year between test dates were included in the longitudinal analysis (325 men and 150 women). Linear and quadratic regressions were applied to age and HR_max for the whole cohort and respective CRF groups (high, moderate, and low, relative to age and gender normative values). To test for differences among linear, quadratic, and polynomial equations, the change in R² (cross-sectional analysis) and Bayesian information criterion (BIC) (longitudinal analysis) from the linear to the more complex models were calculated. The quadratic or polynomial regression in the cross-sectional analysis, marginally improved the variance in HR_max explained by age compared to the linear regression for the whole cohort (0.2%), moderate fit group (0.3%), and low fit group (0.8%). With no improvements in the high fit group. BIC did not improve for any CRF category in the longitudinal analysis. In conclusion, the minimal differences among linear, quadratic, and polynomial equations in the respective CRF groups, emphasizes the use of linear prediction equations to estimate HR_max.