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   

Score Reporting for Examinees with Incomplete Data on Large‐Scale Educational Assessments     

Sandip Sinharay 《Educational Measurement》2021,40(1):79-91

Technical difficulties occasionally lead to missing item scores and hence to incomplete data on computerized tests. It is not straightforward to report scores to the examinees whose data are incomplete due to technical difficulties. Such reporting essentially involves imputation of missing scores. In this paper, a simulation study based on data from three educational tests is used to compare the performances of six approaches for imputation of missing scores. One of the approaches, based on data mining, is the first application of its kind to the problem of imputation of missing data. The approach based on data mining and a multiple imputation approach based on chained equations led to the most accurate imputation of missing scores, and hence to most accurate score reporting. A simple approach based on linear regression performed the next best overall. Several recommendations are made regarding the reporting of scores to examinees with incomplete data.  相似文献   

数据结构的对象化教学方式探讨与实践     

徐翀  徐建 《中国现代教育装备》2011,(9):104-106

数据结构是高等院校计算机专业的一门重要的专业课。就目前普遍采用的面向过程的教学方式的弊端,提出了进行对象化的教学方式。结合我院实践,提出了一系列的教学步骤,并对此作了分析和探讨。  相似文献   

浅析基于ETL技术和全表扫描哈希对比的数据同步方法     

王志学  麦晓冬  符睿 《广东轻工职业技术学院学报》2011,10(2):4-7

数据同步技术随着企业对各个信息系统之间数据共享的重视而变得越来越重要,数据同步的方法有很多,本文主要介绍基于ETL技术和基于全表扫描及哈希对比两种数据同步方法。基于ETL技术的数据同步是基于中间逻辑表完成数据转换,再通过主键和时间戳的对比而完成数据同步过程。本文以Kettle工具为例进行分析;基于全表扫描及哈希对比的数据同步是基于视图完成数据转换,再通过hash算法扫描对比而完成数据同步过程。  相似文献   

异构数据库更新同步研究与实现     

肖刚 《教育技术导刊》2019,18(10):182-185

数据库同步是实现不同系统之间数据共享的有效方法。现有异构数据库同步模型能有效解决记录的同步新增,但由于同步记录查询基于数据表名和关键字值,若不考虑同步数据库节点变化,将导致数据库不适用于某些遗留系统。针对该问题,提出同步控制和主从记录映射方法,在同步控制层记录主从记录映射关系。在采用双向中间件方法的同步技术基础上,设计基于标准数据格式的数据转换,降低数据转换模块开发维护成本,并根据模型应用WCF框架实现系统。实践应用表明,该模型可实现异构数库之间同步更新。  相似文献   

对清华大学2001—2006年在各省招生名额的分析     

郭伯良  许志勇 《考试研究》2006,(4)

用多水平模型对清华大学2001—2006年在全国各地的招生名额分配进行分析,结果显示,六年来在各地的名额分配差异显著,部分省份的名额显著低于全国平均水平,部分省市的名额显著高于全国平均水平。建议对有关高校招生指标在各省的分配情况进行进一步分析。  相似文献   

高等院校评价教师系统框架之数据来源分析     

郝春林  高俊玉 《教育教学论坛》2020,(13):26-27

高校评教是高校教育教学管理中的重要一环。文章针对目前已有的评教系统数据源单一、数据使用不充分、教师反馈不及时、师生互动性欠佳、学生评教积极性不高等现状,提出了一个高校评教系统新框架,以评教结果的使用范围为目的,反推出评教数据来源应具备多次性和多样性。每学期多次评教,实现教师与学生的互动,促进学生评教积极性,促进教师及时改进教学方法。评教人员除了学生之外,还应包括督导专家和往届生。  相似文献   

模糊等值理论在数据清理中的应用     

李华旸  刘玉葆  李又奎 《东南大学学报》2004,20(4):454-457

提出了规则合并的优化方法和重复记录聚类清除的方法.应用模糊等值理论,避免了传统等值理论非此即彼的僵硬方式,但清理过程中部分规则可能存在包含与被包含的关系,被包含的规则其等值度显然会相对较小,根据用户阀值提出了规则合并的优化方法,可减少重复记录的计算时间.基于同样的原因,规则间的包含与被包含关系将影响模糊等值度的误差分析,因此提出了利用忽略被包含的规则等值度提高误差分析精度的改进模糊等值理论误差分析方法.重复记录的核实通常需要人工逐条检测,易于出错,本文提出的聚类算法,可节省大量的用户劳动.最后给出一个实验,表明了规则优化的可能性.  相似文献   

Individual participant data meta-analysis of the impact of educational interventions on pupils eligible for Free School Meals     

Bilal Ashraf  Akansha Singh  Germaine Uwimpuhwe  Steven Higgins  Adetayo Kasim 《British Educational Research Journal》2021,47(6):1675-1699

Meta-analysis is the synthesis of findings from research projects, which enables an estimate of the average or pooled effect across various studies. This study presents findings from the intention to treat analysis for a series of educational evaluations in England using a two-stage meta-analysis with standardised outcome data and individual participant data meta-analyses. The research estimates the overall impact of educational trials on pupils eligible for Free School Meals (FSM) and the attainment gap in literacy and mathematics performance between FSM and non-FSM pupils based on analysis of 88 trials and data from over half a million pupils. For the meta-analyses, frequentist and Bayesian multilevel models were used to estimate the individual and pooled effect size across categories of explanatory variables such as age groups (key stages in England) and aspects of the type of interventions (one-to-one, small group, whole class). Results indicated that the overall impact of interventions on the literacy outcomes of FSM pupils was positive, with a pooled effect size of 0.06 (0.03, 0.08). However, for mathematics, no overall effect on FSM pupils was observed. Analysis of the attainment gap indicated that literacy outcomes for FSM pupils were improved by interventions marginally more than for non-FSM pupils (pooled attainment gap 0.01 (−0.01, 0.04)). The risk of bias assessment showed that estimates were consistent across different methodological approaches. Overall, evidence from this study can be used to identify, test and scale educational interventions in schools to improve educational outcomes for disadvantaged pupils.  相似文献   

Teaching first‐year statistics students with COVID‐19 real‐world data: Graphs     

Danri H. Delport 《Teaching Statistics》2021,43(1):36-43

It is said that a picture is worth a thousand words, but what about graphs? Although graphs have the potential to bring data to life, numerous studies show that learners struggle with graphical comprehension. Furthermore, many textbook examples on graphs are boring and appear meaningless to students. Students want to know more about something which is interesting, meaningful, and worth knowing, in other words, something relevant. With the outbreak of the novel coronavirus in December 2019, COVID‐19 is dominating the news worldwide, and the internet is flooded with visual presentations about the virus. To make statistics more fascinating and exciting, relevant and real‐world data such as these can be used in the classroom to stimulate the learning of important statistical concepts such as graphs. Curcio's three levels of graphical comprehension were used as a framework in this study, while the importance of developing a global view on distributions was also emphasized.  相似文献