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1.
While schools and systems across the globe promote data-driven decision making, teachers often struggle to use data, especially from external assessments, to inform daily instruction. In this paper, we examine teacher capacity building for a less typical form of data use - evidence on student thinking. We draw on data from a longitudinal, in-depth qualitative study involving middle school math teachers who were engaged in an instructional improvement project. Findings show that data use occurred when evidence from student thinking was introduced as part of the instructional planning process. This shift was facilitated by an instructional coach whose capacity building efforts with teachers focused on coherence, specifically planning high quality instruction and using data effectively, while also meeting district pacing and unit planning goals. When teachers put new strategies into practice, feedback from formative assessment data allowed teachers to identify and address misconceptions in student thinking. Learning how to use data as part of instruction helped teachers build capacity to reflect on their own practice. Implications for theory, practice, and research are discussed. 相似文献
2.
在“数字体育”背景下,运动员数据处理成为现代体育发展的关键。运动员个人数据的数据主体和数据控制者之间的权利义务分配是运动员数据处理的基础。数据主体权利的扩张和数据控制者义务的强化是《中华人民共和国民法典》和《通用数据保护条例》所遵循的基本价值导向。运动员数据处理的具体建构还应在体育领域行业化和特殊化基础上,遵循合法公平透明原则、目的限制原则、数据最小化原则、准确性原则、存储有限化原则、完整和保密原则,以此厘清运动员和数据控制者在运动员数据处理中的权利义务关系,保障运动员的数据权益。 相似文献
3.
近年来,为应对学术出版数字化变革引发的学术资源垄断和用户需求变化,国外的高校图书馆已经投入到学术出版数字化活动中去,并积累了丰富的技术经验,成为了关键参与者。本文以《图书馆出版名录》为参考进行数据统计分析,分别从内容收集、内容存储、开放存取和出版平台等方面展示国外高校图书馆学术出版数字化转型路径,并提出我国高校图书馆可以从利用高校资源、谋求合作伙伴、支持开放存取、合理选择保存系统和出版平台等方面进行学术出版数字化实践。 相似文献
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文章阐述了科学数据安全保障的现实意义和重要价值,系统梳理了当前我国科学数据安全研究的现状与不足,分析了我国科学数据安全面临的主要威胁,并从多个方面提出了科学数据安全保障路径。我国科学数据安全面临的威胁主要体现在利益相关者安全意识淡薄、重点科学数据外流、数据基础设施依赖国外技术以及科学数据安全危机仍然存在等方面。未来的科学数据安全保障路径可以从明确目标、提升技术、建章立制、人才培养等方面入手。 相似文献
6.
Data use in education is a sensemaking process in which practitioners and researchers interact with different systems of meaning such as anecdotes or spreadsheets. The representational qualities of data and their influence on practice are critical but less well-discussed aspects of data use. Drawing on social semiotics, this theoretical article proposes that data should be discussed in terms of narrative and numerical modes of representation. Narrative data typically consist of protagonists and actions organized in a temporal structure, while numerical data typically consist of mathematical notations and visual representations such as graphs and figures. We argue that the representational properties of these two modes affect how data are interpreted and acted upon. We then present two contrasting cases from New Zealand and Norway of how affordances affect teachers’ data use processes. Finally, we discuss five challenges arising from our theorization about the affordances of data. 相似文献
7.
《Information processing & management》2023,60(2):103235
Imbalanced sample distribution is usually the main reason for the performance degradation of machine learning algorithms. Based on this, this study proposes a hybrid framework (RGAN-EL) combining generative adversarial networks and ensemble learning method to improve the classification performance of imbalanced data. Firstly, we propose a training sample selection strategy based on roulette wheel selection method to make GAN pay more attention to the class overlapping area when fitting the sample distribution. Secondly, we design two kinds of generator training loss, and propose a noise sample filtering method to improve the quality of generated samples. Then, minority class samples are oversampled using the improved RGAN to obtain a balanced training sample set. Finally, combined with the ensemble learning strategy, the final training and prediction are carried out. We conducted experiments on 41 real imbalanced data sets using two evaluation indexes: F1-score and AUC. Specifically, we compare RGAN-EL with six typical ensemble learning; RGAN is compared with three typical GAN models. The experimental results show that RGAN-EL is significantly better than the other six ensemble learning methods, and RGAN is greatly improved compared with three classical GAN models. 相似文献
8.
Pasquale Del Vecchio Gioconda Mele Valentina Ndou Giustina Secundo 《Information processing & management》2018,54(5):847-860
This paper aims to demonstrate how the huge amount of Social Big Data available from tourists can nurture the value creation process for a Smart Tourism Destination. Applying a multiple-case study analysis, the paper explores a set of regional tourist experiences related to a Southern European region and destination, to derive patterns and opportunities of value creation generated by Big Data in tourism. Findings present and discuss evidence in terms of improving decision-making, creating marketing strategies with more personalized offerings, transparency and trust in dialogue with customers and stakeholders, and emergence of new business models. Finally, implications are presented for researchers and practitioners interested in the managerial exploitation of Big Data in the context of information-intensive industries and mainly in Tourism. 相似文献
9.
【目的】 分析期刊编辑部与数据中心联合出版数据论文的模式,为进一步推进数据论文出版提供参考。【方法】 借鉴国际数据期刊论文出版模式,建立了期刊编辑部与数据中心联合出版数据论文的模式和流程,并分析了数据论文出版实践工作取得的成效和发展方向。【结果】 以期刊编辑部为主体,通过与数据中心联合,探索数据论文出版的流程,实现了数据论文的出版。【结论】 数据论文出版是一种新型论文形式,是对科学数据的肯定,能有效提高期刊的影响力。 相似文献
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