Complementing subjective with objective data in analysing expertise: A machine-learning approach applied to badminton     

Olivier Dieu  Christophe Schnitzler  Clément Llena  François Potdevin 《Journal of sports sciences》2020,38(17):1943-1952

ABSTRACT

This study aimed to assess which combination of subjective and empirical data might help to identify the expertise level. A group of 10 expert coaches classified 40 participants in 5 different expertise groups based on the video footage of the rallies. The expertise levels were determined using a typology based on a continuum of 5 conative stages: (1) structural, (2) functional, (3) technical, (4) contextual, and (5) expertise. The video allowed empirical measurement of the duration of the rallies, and tri-axial accelerometers measured the intensity of the player’s involvement. A principal component analysis showed that two dimensions explained 54.9% of the total variance in the data and that conative stage and empirical parameters during rallies (duration, intensity of the game) were correlated with axis 1, whereas duration and acceleration data between rallies were correlated with axis 2. A random forest algorithm showed that among the parameters considered, acceleration, duration of the rallies, and time between rallies could predict conative stages with a prediction accuracy above possibility.

This study suggests that performance analysis benefits from the confrontation of subjective and objective data in order to design training plans according to the expertise level of the participants.  相似文献   

Measuring Textbook Content Coverage: Efficient Content Analysis with Lesson Sampling     

Jiahui Zhang  Leland S. Cogan  William H. Schmidt 《Educational Measurement》2020,39(2):74-84

This study addresses measurement issues around a standards-based content analysis of mathematics textbooks’ coverage of standards for use in large-scale monitoring of standards implementation as proposed in a 2013 report by the National Research Council. An earlier study produced an exhaustive content analysis of textbooks using the 2012 Common Core State Standards for Mathematics. This yielded an accurate and reliable portrait of a textbook's coverage of standards. However, such an in-depth analysis is not feasible for large-scale standards-implementation monitoring in which a large number of textbooks may need to be analyzed. To provide such a portrait with sufficient accuracy while also substantially reducing the associated resources needed to produce such a portrait, a simulation study was conducted with the exhaustively coded database to compare different sampling schemes. Results indicated that sampling 1 day from each week and coding the corresponding lessons led to sufficiently accurate representations of the overall content of the textbook. The results provide empirical evidence for large-scale standards-based content analyses of mathematics textbooks for monitoring standards implementation which could be adapted for other subject areas.  相似文献   

马拉松消费者行为研究:特征、挑战与趋势     

鲍芳  袁园媛  张靖弦  黄海燕 《武汉体育学院学报》2020,54(6):10-18

采用实地问卷调查法，收集马拉松参赛者在运动参与行为、实物购买行为和人口特征方面的统计数据，使用k-means聚类分析将马拉松消费者细分为资深马拉松追求者、普通马拉松爱好者和社交者三个集群。研究表明，马拉松消费将面临以下挑战：泛娱乐性大于竞技性造成资深消费群体流失，赛事体系层级不清晰造成消费者混淆，赛事运营服务不专业拉低消费意愿，其他户外运动兴起导致消费份额分化，马拉松消费者非理性消费观念广泛存在。预测未来马拉松消费行为发展的六大趋势：以重点人群为目标扩大马拉松消费；科学跑马服务助力消费者持续参与赛事；沉浸体验式消费不断升级；建设马拉松产业载体拓展消费空间；社交媒体互动式消费发挥中介作用；5G开启智能马拉松消费时代。  相似文献   

Factors influencing the career interest of SENCOs in English schools     

Graeme Dobson  Graeme Douglas 《British Educational Research Journal》2020,46(6):1256-1278

A named professional with responsibility for overseeing and coordinating the educational inclusion of pupils with special educational needs and disabilities has become an important school role in many countries. In England, the SENCO (special educational needs coordinator) became a mandatory role in 1994, and associated mandatory training was introduced in 2009. A questionnaire survey of 618 in-training and actual SENCOs revealed that their motivating interest in becoming a SENCO varied. An exploratory factor analysis of 32 items covering different interests in the role yielded four interest factors in becoming a SENCO: outward-facing factors (‘inclusion’ and ‘high-quality provision’) and inward-facing factors (‘educational and professional development’ and ‘leadership voice and status’). The outward-facing factors were viewed as more important to respondents than the inward-facing factors. Interest factors did not interact with organisational variables, including age group taught and school quality. Nevertheless, younger SENCOs and those engaged in training were more motivated by educational and professional development. SENCOs holding school leadership contracts were more motivated in developing leadership voice and status compared with their classroom teacher peers. Moreover, there was a significant overall difference with women reporting a higher interest than men across all factors.  相似文献   

Study Abroad Experience and Career Decision-Making: A Qualitative Study of Chinese Students     

WU Yihan 《Frontiers of Education in China》2020,15(2):313

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Knowledge-guided multi-granularity GCN for ABSA     

《Information processing & management》2023,60(2):103223

Aspect-based sentiment analysis aims to determine sentiment polarities toward specific aspect terms within the same sentence or document. Most recent studies adopted attention-based neural network models to implicitly connect aspect terms with context words. However, these studies were limited by insufficient interaction between aspect terms and opinion words, leading to poor performance on robustness test sets. In addition, we have found that robustness test sets create new sentences that interfere with the original information of a sentence, which often makes the text too long and leads to the problem of long-distance dependence. Simultaneously, these new sentences produce more non-target aspect terms, misleading the model because of the lack of relevant knowledge guidance. This study proposes a knowledge guided multi-granularity graph convolutional neural network (KMGCN) to solve these problems. The multi-granularity attention mechanism is designed to enhance the interaction between aspect terms and opinion words. To address the long-distance dependence, KMGCN uses a graph convolutional network that relies on a semantic map based on fine-tuning pre-trained models. In particular, KMGCN uses a mask mechanism guided by conceptual knowledge to encounter more aspect terms (including target and non-target aspect terms). Experiments are conducted on 12 SemEval-2014 variant benchmarking datasets, and the results demonstrated the effectiveness of the proposed framework.  相似文献   

Back to common sense: Oxford dictionary descriptive knowledge augmentation for aspect-based sentiment analysis     

《Information processing & management》2023,60(3):103260

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Utilizing program theory and contribution analysis to evaluate the development of science teacher leaders     

《Studies in Educational Evaluation》2014

This paper illustrates how theory of change coupled with contribution analysis assisted in delineating the role each aspect of a teacher professional development program contributed to the expected outcomes. Using a mixed methods evaluation based upon the theory of change, data was gathered on 12 teacher leaders over three years. Findings indicated that not only did the teachers continue to develop as leaders over the three year project but also that the interventions designed to provide professional development to the teachers did indeed contribute to the attainment of project outcomes. By combining stakeholders’ theory of change with contribution analysis, evaluators can develop an understanding of program intentions and design an evaluation that enhances the validity of findings.  相似文献   

高职学生心理健康现状调查与分析     

杨晓燕 《黄冈职业技术学院学报》2011,13(6):49-52

心理健康问题已成为影响大学生成才的重要因素,借鉴国内外学生心理健康的相关研究成果,在国内外成熟的心理测量量表的基础上,通过制定高职学生心理健康测量量表,对高职学生心理健康状况进行了试测和分析。将高职学生的心理健康问题归纳为自信心不足、人际关系不协调、自我调控失灵等三个方面。  相似文献   

创新型法律人才培养目标下的法学实践教学     

龙著华 《重庆职业技术学院学报》2011,20(1):81-84

培养创新型法律人才是我国法学教育的首要任务。传统的封闭教学模式不能满足创新型法律人才培养的需要,现行实践教学存在的不足又制约其培养功能的发挥,因此,应在明晰法学教育培养目标的基础上,树立＂全程＂实践的教学观念,通过精心设计实践教学体系、改善教师队伍结构、丰富实践教学形式、完善实践教学评价体系等路径,实现重构法学实践教学体系的目的。  相似文献