提升中小学生阅读兴趣的实证研究——基于MIMIC模型的教学效能分析

提升学生的阅读素养是当前我国阅读课程教学改革的重要目标之一。本研究首次尝试将群文阅读这种新兴的阅读教学方式与传统的单本阅读教学方式进行对比研究，主要从提升学生阅读兴趣的效能方面进行分析与探讨。实验涉及我国中西部5个省市、6个区县共计1 231名中小学生，并使用MIMIC模型，在有效控制测量误差的基础上，对实证数据进行了量化建模与分析，通过分析发现，群文阅读教学对激发学生阅读的“情境兴趣”有更加显著的作用，具体表现为对学生阅读注意力、情感体验、探索意愿、价值感知的影响更大，同时也验证了Knogler提出的“情境兴趣模型”在阅读教学领域的适用性，从而为进一步推进我国中小学阅读课程教学改革提供了科学的数据支撑。因此，为提升中小学生阅读素养，在阅读教学中引入群文阅读这一新兴的教学方式，具有重要的实践价值和现实意义。     

美国中小学的体验式学习及启示

体验式学习的内涵随着时代的发展而逐渐丰富和深化，但无论其如何演变，直接经验和反思始终是体验式学习这一概念的内核。体验式学习理念渗透于美国教育文化之中。具体表现在：小学阶段的教育以学生的真实感知为基础，注重为学生提供真实体验的机会和激发学生的学习兴趣；中学尤其是高中阶段的教育以学生的真实体验为基础，注重为学生提供在新情境中检验所学知识的机会，注重学生知识、技能的内化吸收。美国中小学体验式学习的实施经验可为我国基础教育课程改革提供如下启示：（1）进一步树立和推广体验式学习理念；（2）创设学生进行真实体验的教学环境；（3）注重实施基于学生体验式学习的表现性评价。     

An omnibus two-sample test for ranked-set sampling data

We develop an omnibus two-sample test for ranked-set sampling (RSS) data. The test statistic is the conditional probability of seeing the observed sequence of ranks in the combined sample, given the observed sequences within the separate samples. We compare the test to existing tests under perfect rankings, finding that it can outperform existing tests in terms of power, particularly when the set size is large. The test does not maintain its level under imperfect rankings. However, one can create a permutation version of the test that is comparable in power to the basic test under perfect rankings and also maintains its level under imperfect rankings. Both tests extend naturally to judgment post-stratification, unbalanced RSS, and even RSS with multiple set sizes. Interestingly, the tests have no simple random sampling analog.     

Virgins,Terrorists, and Ten Children: Immigrants' Humorous Play with Ethnic Stereotypes in Bonding with Danes in the Workplace

Drawing on fieldwork in a multi‐ethnic workplace (an industrial kitchen in Denmark), this article explores immigrants' self‐directed ethnic humor in collegial relationships with Danes as it spontaneously develops and plays out in everyday work settings. Approaching ethnic humor from a symbolic interactionist perspective rather than adopting the dominant conflict approach, this article emphasizes the bonding functions of ethnic humor. The article argues that immigrants' engagement in playful behavior with ethnic stereotypes in interactions with Danes is a form of “impression management” in which they defuse ethnic stereotypes and dissociate themselves from them by building joking relationships in the workplace with Danes. A video abstract is available at https://tinyurl.com/esholdt .     

小学英语教师评价理念和评价话语的相关性研究

评价话语是小学英语教师在形成性评价中落实以人为本、注重过程、促进发展评价理念的一种常见的评价方式。探究小学英语教师评价理念和评价话语的相关性对更新小学英语教师评价理念和提高评价话语的有效性有现实意义和参考价值。调查研究结果表明:小学英语教师对评价理念的把握和落实以及评价话语的使用处于一般水平;评价理念和评价话语在学历、教龄和执教学生人数上存在显著差异;学历、教龄与评价理念和评价话语存在显著的正相关,执教学生人数与评价理念和评价话语存在显著的负相关;学历和教龄对评价理念的把握和落实及评价话语的使用有显著的正向影响,执教学生人数不会对教师评价理念的把握和落实及评价话语的使用产生显著的影响。     

小学教育专业之教育专业课程建构的逻辑

小学教育专业的培养目标决定了小学教育专业课程体系的基本逻辑：以通识课程奠基，以学科课程立命，以教育课程定向。教育专业课程是小学教育专业课程体系的重要构成部分。其基本逻辑结构包括学科课程、活动课程和技能课程。学科课程可按照认识小学教育、理解小学教育教学过程、学会研究小学教育的逻辑来建构；活动课程可按照感知小学教育、实践小学教育、研究小学教育来建构；技能课程可按照小学教师公共职业技能和学科职业技能来建构。     

错位与适应：学前教育小学化“为何”与“何为”

为了探究利益相关者视角下学前教育小学化产生的原因及其对策,以重心下移与深度聚焦为思路,对Z市X区4名家长和2名老师进行访谈,借助扎根理论,建构出学前教育小学化"错位"与"适应"的双重生态。"错位"诠释了学前教育小学化的"为何",具体表现为"主体错位"和"职责错位"的复杂交错。"适应"解释了学前教育小学化的"何为",具体表现为适应主体是"家长、幼儿园和辅导班的三管齐下";适应策略包括"坚决抵抗、无奈妥协、精明调适和无知得意";适应类型是"预防型和善后型、强迫型和引导型、突击型和持久型、长远型和短视型"的相互融合。     

柏拉图与亚里士多德生成论之比较

柏拉图在《蒂迈欧》和“未成文学说”中所讨论的生成理论与亚里士多德的生成论有很大的相关性，甚至可以说后者是在与前者的对话中形成的。无论是三本原的生成模式学说，火、气、水、土四元素相互生成学说，还是由四元素生成同质体的理论，甚至个别事物的生成理论，亚里士多德都从老师那里获取了理论资源。本文即从这几个方面进行对比论证，表明亚里士多德继承和发展了柏拉图的生成理论。本文还就柏拉图的“接受者”与亚里士多德的最初质料和终极质料的关系进行了进一步的澄清。     

Bayesian methods for dealing with missing data problems

Missing data, a common but challenging issue in most studies, may lead to biased and inefficient inferences if handled inappropriately. As a natural and powerful way for dealing with missing data, Bayesian approach has received much attention in the literature. This paper reviews the recent developments and applications of Bayesian methods for dealing with ignorable and non-ignorable missing data. We firstly introduce missing data mechanisms and Bayesian framework for dealing with missing data, and then introduce missing data models under ignorable and non-ignorable missing data circumstances based on the literature. After that, important issues of Bayesian inference, including prior construction, posterior computation, model comparison and sensitivity analysis, are discussed. Finally, several future issues that deserve further research are summarized and concluded.