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61.
Lik Sam Chan 《Critical Studies in Media Communication》2016,33(2):139-153
The intricate connection between nation branding efforts and the emotions they evoke has been inadequately addressed in existing branding and international relations literature. I propose a heuristic account that theorizes this relationship. By tracing the branding efforts made by China and the de-branding efforts made by Shen Yun Performing Arts (a troupe established by Falun Gong practitioners), I argue that these “authentic” Chinese cultural presentations elicit certain emotions. The emotional works are different for Chinese domestic audiences and for international audiences. I propose a duplex model to account for the emotional processes in these two groups of audiences. Four operating emotions—pride, guilt, admiration, and anger—solidify into various political attitudes toward China. Finally, I discuss the contributions of this duplex model and its further complications. 相似文献
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Carl T. Woods Lyndell Bruce James P. Veale Sam Robertson 《Journal of sports sciences》2016,34(23):2165-2169
Identifying performance differences between juniors at different stages of a talent pathway may assist with the development of prospective talent. This study investigated the relationship between game-based performance indicators and developmental level in junior Australian football (AF). Players were categorised into 2 groups according to developmental level; U16 and U18. Physical and technical skill performance indicators were collated for all U16 (n = 200) and U18 (n = 244) participants of their respective 2014 national championships. Data were acquired from all 28 games (12 U16, 16 U18); resulting in 1360 player observations (568 U16, 792 U18). Microtechnology and a commercial provider facilitated the quantification of 15 performance indicators. Generalised estimating equations (GEEs) modelled the extent to which these performance indicators were associated with developmental level. The GEE model revealed that “contested marks” and “contested possessions” had the strongest association with the U16 level, while “total marks” and “clearances” had the strongest association with the U18 level. The remaining performance indicators were not developmentally discriminant. These results indicate that there are distinctive features of gameplay more associated with the U16 and U18 levels in AF. Coaches may wish to consider these results when constructing training drills designed to minimise developmental gaps. 相似文献
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Tertiary Education and Management - Generating knowledge for various constituents and for society has always defined colleges and universities. Recent decades, though, have witnessed shifts in... 相似文献
66.
Sam Dragga 《Technical Communication Quarterly》2017,26(2):201-208
Tenure-line faculty—teaching onsite or online—are typically perceived as resident scholars and instructors who live local to their institutions. A geographically diversified tenure-line faculty, however, could also serve the education of students by bringing a wider array of influences and opportunities to the online classroom. Programs in technical communication must examine how to incorporate extralocated faculty and how to prepare willing and eligible faculty for extralocated teaching, research, and service. 相似文献
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Marbach-Ad G McAdams KC Benson S Briken V Cathcart L Chase M El-Sayed NM Frauwirth K Fredericksen B Joseph SW Lee V McIver KS Mosser D Quimby BB Shields P Song W Stein DC Stewart R Thompson KV Smith AC 《CBE life sciences education》2010,9(4):408-416
This essay describes how the use of a concept inventory has enhanced professional development and curriculum reform efforts of a faculty teaching community. The Host Pathogen Interactions (HPI) teaching team is composed of research and teaching faculty with expertise in HPI who share the goal of improving the learning experience of students in nine linked undergraduate microbiology courses. To support evidence-based curriculum reform, we administered our HPI Concept Inventory as a pre- and postsurvey to approximately 400 students each year since 2006. The resulting data include student scores as well as their open-ended explanations for distractor choices. The data have enabled us to address curriculum reform goals of 1) reconciling student learning with our expectations, 2) correlating student learning with background variables, 3) understanding student learning across institutions, 4) measuring the effect of teaching techniques on student learning, and 5) demonstrating how our courses collectively form a learning progression. The analysis of the concept inventory data has anchored and deepened the team's discussions of student learning. Reading and discussing students' responses revealed the gap between our understanding and the students' understanding. We provide evidence to support the concept inventory as a tool for assessing student understanding of HPI concepts and faculty development. 相似文献
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Emily E Cust Alice J Sweeting Kevin Ball Sam Robertson 《Journal of sports sciences》2019,37(5):568-600
Objective assessment of an athlete’s performance is of importance in elite sports to facilitate detailed analysis. The implementation of automated detection and recognition of sport-specific movements overcomes the limitations associated with manual performance analysis methods. The object of this study was to systematically review the literature on machine and deep learning for sport-specific movement recognition using inertial measurement unit (IMU) and, or computer vision data inputs. A search of multiple databases was undertaken. Included studies must have investigated a sport-specific movement and analysed via machine or deep learning methods for model development. A total of 52 studies met the inclusion and exclusion criteria. Data pre-processing, processing, model development and evaluation methods varied across the studies. Model development for movement recognition were predominantly undertaken using supervised classification approaches. A kernel form of the Support Vector Machine algorithm was used in 53% of IMU and 50% of vision-based studies. Twelve studies used a deep learning method as a form of Convolutional Neural Network algorithm and one study also adopted a Long Short Term Memory architecture in their model. The adaptation of experimental set-up, data pre-processing, and model development methods are best considered in relation to the characteristics of the targeted sports movement(s). 相似文献