Content Analysis of Google Alerts for Cultural Heritage Institutions

This article outlines evidence-based methods for cultural heritage institutions to look for news and mentions about their collections and services online. Google Alerts were created for repository names, websites, and finding aid websites for 66 institutions randomly selected from the Archive Grid database. Results were analyzed to determine Google Alerts' accuracy, what types of institutions would benefit most from using Google Alerts, what the content of the sources found by the alerts was, what types of publications returned the most results, and if Google Alerts could also identify image reuse. While Google Alerts' accuracy for returning usable results for analysis was not very high, the structure of alert e-mails makes discarding irrelevant results simple and quick. Mid- to large-sized museums and institutions staging frequent exhibits and events, as well as those with active collections, return the largest number of alerts. News publications and social media publish the most content related to cultural heritage institutions. Though the sample set was small, Google Alerts also was able to identify image reuse.     

Difference score reliabilities within the RIAS-2 and WISC-V

Many prominent intelligence tests (e.g., Wechsler Intelligence Scale for Children, Fifth Edition [WISC-V] and Reynolds Intellectual Abilities Scale, Second Edition [RIAS-2]) offer methods for computing subtest- and composite-level difference scores. This study uses data provided in the technical manual of the WISC-V and RIAS-2 to calculate reliability coefficients for difference scores. Subtest-level difference score reliabilities range from 0.59 to 0.99 for the RIAS-2 and from 0.53 to 0.87 for the WISC-V. Composite-level difference score reliabilities generally range from 0.23 to 0.95 for the RIAS-2 and from 0.36 to 0.87 for the WISC-V. Emphasis is placed on comparisons recommended by test publishers and a discussion of minimum requirements for interpretation of differences scores is provided.     

Teachers’ epistemic cognition in situ: Evidence from classroom assessment

Assessment tasks require the coordination of multiple knowledge-related goals for various audiences, and therefore provide an authentic context to observe teachers’ epistemic cognition in practice. In this instrumental case study, we investigated seven, fifth grade English Language Arts teachers’ epistemic cognition as they evaluated students’ classroom assessments. Our analyses revealed that the components of epistemic cognition identified in the literature emerged in these teachers’ assessment processes. Moreover, we found evidence that teachers’ epistemic cognition was iterative and nuanced, and required shifts in aims and reliable processes. This resulted in teachers forming new kinds of “epistemic matters” and questions beyond those ideas noted in existing models of epistemic cognition. Significance and implications are discussed.     

The Potential Impact of COVID-19 on Student Learning and How Schools Can Respond

There is no denying the impact that the coronravirus disease (COVID-19) outbreak has had on many aspects of our lives. This article looks at the potential impact of COVID-19 on student learning as schools abruptly morphed into virtual learning environments using data from several instructional, practice, and assessment solutions offered by Renaissance. First, three hypothetical learning scenarios are considered using normative data from Star assessments to explore the potential impact on reading and math test performace. Next, data on Focus Skills are used to highlight which grades may have missed the most foundational math and reading content if instruction was stopped or reduced. Last, data from two of Renaissance's practice tools are used to evaluate whether students were practicing key skills following school closures. The article concludes that academic decline will likely occur but may be tempered by the increased use of practice tools; effects may look different for math and reading; and may impact grades and schools differently. As such, schools may need to leverage decision-making frameworks, such as the Multi-tiered Systems of Support/Response-to-Intervention (MTSS/RTI) framework, more than ever to identify needs and target instruction where it matters most when school begins in fall 2020.     

体育教育专业学生社会支持的研究

采用文献资料、问卷调查、访问调查和数理统计,对305名体育教育专业的大学生为研究对象,主要了解普通高校体育教育专业的大学生感知到的社会支持(情感支持、信息支持和工具支持)以及对社会支持满意度等方面的情况.结果显示:社会支持是影响人们身心健康和行为表现的重要社会心理干预因素;体育教育专业学生获得的社会支持率较低,利用率也较低;由于家人及他人对体育教育专业的支持率不高,研究对象倾向于向朋友、同学寻求精神上的理解和安慰;且有时或很少寻求经济援助或解决实际问题.这些是由于与性别和个体生理因素、社会文化条件、人际交往、自我期待水平等因素决定的.     

高校体育教育专业田径课堂教学评价现状调查

对我国26所有体育教育专业的高校的田径课堂教学评价现状进行了调查分析,结果表明：各高校田径课堂教学评价指标体系和目标较为完善,但实际操作有相当难度;评价关注的主要是学生在技术、技能和身体素质等方面的发展,忽视课堂教学的过程和条件,对学生的发展性目标,关注不多;在评价方式与方法上,还是注重“量化”,而忽视“质性”评价;在评价结果上,仍过分强调终结性评价结论,而忽视各个时期个体的体能进步状况,因此不能起到促进发展的作用;在田径课堂教学评价实际工作中,以统一的体育教学评价量表多见,专门的田径课堂教学评价量表或量规显得尤为欠缺;评价过程显得封闭、静态、缺乏灵活性与动态性。     

大型体育赛事风险评估指标研究现状

对大型体育赛事的概念、组织、风险的定义进行概述,综述大型体育赛事风险评估指标的研究现状,并列举了实例.     

中美体育专业教育发展之比较研究

通过对美国和我国体育专业教育的历史沿革进行详尽的阐述,然后对其进行比较研究,找出存在的问题与差异,结合我国的实际情况,指出我国可以从美国体育专业教育的发展与改革中获得有益的启示。同时,为我国体育专业教育的改革与发展提出建议。     

我国单板U型场地滑雪项目优秀女子运动员备战2010年冬奥会生物学监控的研究

对单板U型场地滑雪项目国家队运动员在2010年冬奥会比赛前进行了机能评定和疲劳监控,结果显示：在夏训和冬训以及比赛准备期间,运动员的机能状况总体是较好的,但个别队员的体质状况和对运动负荷适应情况及恢复情况波动较大,还有待随时进行调整,以适应更大负荷的训练。