Discrete Choice Modeling in Education: An Innovative Method to Assess Teaching Practices

Self‐reported measures are an easy, time‐efficient, and low‐cost way to collect research data compared to other assessment methods. They are, however, characterized by several limitations regarding the quality and the clarity of the data they produce, especially when they are implemented in education. The main purpose of the current study was to use a method called discrete choice modeling (DCM) in education, in order to develop a self‐reported instrument that will reduce the bias for socially desirable responses and to assess teachers’ practices in physical activity. DCM method has the ability to overcome the respondents’ tendency to answer in a socially desirable way. A nationally representative sample of 531 Greek early educators participated in this study and were administered a self‐assessment questionnaire based on DCM. Results showed that the DCM based newly developed instrument manages to assess effectively educators’ practices and provided evidence of the applicability of the method in education. Further implications and future recommendations regarding the effective application of DCM in education are discussed.     

Digital Module 05: Diagnostic Measurement—The G‐DINA Framework https://ncme.elevate.commpartners.com

In this ITEMS module, we introduce the generalized deterministic inputs, noisy “and” gate (G‐DINA) model, which is a general framework for specifying, estimating, and evaluating a wide variety of cognitive diagnosis models. The module contains a nontechnical introduction to diagnostic measurement, an introductory overview of the G‐DINA model, as well as common special cases, and a review of model‐data fit evaluation practices within this framework. We use the flexible GDINA R package, which is available for free within the R environment and provides a user‐friendly graphical interface in addition to the code‐driven layer. The digital module also contains videos of worked examples, solutions to data activity questions, curated resources, a glossary, and quizzes with diagnostic feedback.     

二次曲线拟合算法的统计性能分析与改进

传统的二次曲线拟合使用标准特征值分析算法。通过统计分析技术 ,可知该技术在拟合数字二次曲线时 ,存在估计偏差大、均方误差大的缺点。其产生原因是数据噪声的有色性和自相关函数矩阵的条件数过大 ,因此白化数据噪声和正则化变换是提高曲线拟合的有效措施。这从理论上有力地支持了Hartley提出的正则化算法。通过理论分析和计算机仿真实验 ,表明了降维EVD技术固有地同时具备噪声预白化功能和数据正则化功能 ,因此它能给出均方误差相当小的无偏估计。由于它无须进行预白化变换或正则化变换 ,并把最优化过程的维数从 6降为 2 ,所以它还具有计算快速、实现简单方便的优点。     

加强和改进体育院校青年教师党员发展工作管见

按照“三个代表”的要求和与时俱进的观点，认为搞好体育院校青年教师党员发展工作，首先要统一思想，深刻认识其重要性和紧迫感；第二，正视现实，增强其主动性和责任感；第三，明确思路，抓住重点，扎扎实实把工作做细做好。围绕这三个方面，理论结合实践进行了分析与探讨。     

"物质利益"与现阶段运动队的思想工作

通过对运动队要求提高物质待遇性质的分析,阐明了物质利益的作用,并进一步论述了物质利益与精神奉献的关系。     

计算机程序设计课程教学模式研究

本通过对各种计算机程序设计课程的研究，说明教学中采用不同模式的重要性，并列举了一些生动事例以作参考。     

国民体质与军人体质的研究现状及发展趋势

在对国内外国民体质与军人体质研究现状进行综述的基础上，阐述了当今体质研究的发展趋势，并对军人体质研究工作提出了若干设想。     

做好文稿的退修工作

为了确保科技信息准确，快速，广泛地传播，编辑在做文稿退修时须把握好以下几点：1）注意对文稿内容，结构及统计数据的审查与质疑。2）注意对文稿标准化的审查与修改，使题名，摘要，关键词，名词术语，计量单位等符合科技期刊的标准化规范化要求。3）尊重作者劳动，退修意见力求准确，全面，具体，要求明确，确保一次退修成功。     

“合作教学论”在初中数学教学中的应用初探

"合作教学论"是一种能培养学生良好的心理品质和社会技能的教学理论,其基本教学模式包括:合作设计—目标呈现—集体讲授—小组活动等,我们通过对学生合理分组和对组长的选拔,在教学中运用此教学法完成课堂教学和其他教学活动,培养学生的数学素质和创新能力。