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.     

用科学的发展观指导现代档案建设

档案事业发展，系关人类文明进步，用科学的发展观指导档案建设，立档案丰碑，为世界服务。这是时代的要求，发展的要求，建设的要求．和平的要求，文明的要求。要转变理念，要有战略胆量，要坚决行动。     

我国优秀标枪运动员陈奇投掷步技术特点分析

采用高速摄像、录像解析及比较分析方法,对我国优秀标枪运动员陈奇投掷步相关运动学参数进行比较分析。结果发现陈奇投掷步的技术特点:助跑距离较长、助跑速度较快,第二交叉步前后速度损失同投掷成绩呈负相关;第一交叉步前后身体重心速度的增加幅度同交叉步前后躯干后倾角变化量呈负相关,第二交叉步前后身体重心速度的损失幅度同交叉步前后躯干后倾角变化量呈负相关;最后一步前后身体重心水平速度的损失幅度同躯干后倾角变化量呈正相关。     

简论跨文化交际的失误

跨越不同文化背景的交际常会发生故障 ,使交际双方产生误解其原因不仅限于发音、语法和词汇等语言各方面 ,还有其它如文化背景的原因 ,影响了有效交际 ,本文就此进行了初步探讨     

论高校自然科学学报发展的新理念

论述21世纪高校自然科学学报发展的新理念,包括科技理论创新理念、人文理论创新理念和编辑理论创新理念.     

跨库检索策略研究

本文在研究跨库检索系统的基础上，根据跨库检索系统特点提出制定跨库检索策略的方法。     

Construction of query concepts based on feature clustering of documents

In Information Retrieval, since it is hard to identify users’ information needs, many approaches have been tried to solve this problem by expanding initial queries and reweighting the terms in the expanded queries using users’ relevance judgments. Although relevance feedback is most effective when relevance information about retrieved documents is provided by users, it is not always available. Another solution is to use correlated terms for query expansion. The main problem with this approach is how to construct the term-term correlations that can be used effectively to improve retrieval performance. In this study, we try to construct query concepts that denote users’ information needs from a document space, rather than to reformulate initial queries using the term correlations and/or users’ relevance feedback. To form query concepts, we extract features from each document, and then cluster the features into primitive concepts that are then used to form query concepts. Experiments are performed on the Associated Press (AP) dataset taken from the TREC collection. The experimental evaluation shows that our proposed framework called QCM (Query Concept Method) outperforms baseline probabilistic retrieval model on TREC retrieval.