標(biāo)題: Titlebook: Big Data in Education: Pedagogy and Research; Theodosia Prodromou Book 2021 Springer Nature Switzerland AG 2021 learning analytics (LA).ed [打印本頁(yè)] 作者: 分期 時(shí)間: 2025-3-21 20:00
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作者: Delude 時(shí)間: 2025-3-21 23:52
Mixed extensions of bimatrix games,obviating old ethical concerns. Nonetheless, Big Data offer many opportunities, allowing researchers to study previously inaccessible problems, with previously inconceivable sources of data. Although Big Data overcome some of the challenges of small data studies, Big Data studies will not supplant s作者: Congruous 時(shí)間: 2025-3-22 03:54
https://doi.org/10.1007/978-93-86279-17-0 relatively straight forward yet appealing interactive activities, and support resources, to develop rudimentary but essential concepts and processes for each of the 4–7?years and 8–18?years age groups. A combination of activities and freely available software to support data exploration such as iNZ作者: Cocker 時(shí)間: 2025-3-22 05:17
The imputation set and the core,istory of the unit, topics of study, learning outcomes, assessment tasks, and how students were included in decision making for their projects is described before presenting two case studies from students’ projects.作者: overture 時(shí)間: 2025-3-22 12:44 作者: 思想流動(dòng) 時(shí)間: 2025-3-22 16:18 作者: 描述 時(shí)間: 2025-3-22 18:51
https://doi.org/10.1007/978-1-4612-4316-8ocess. In some fields, such as software engineering, professional and open source projects gather this sort of data, and those same tools allow collection of student data, allowing us to explore whether students are adopting strategies that experts find to be successful. We see this as the goal of d作者: JUST 時(shí)間: 2025-3-22 21:40 作者: BOON 時(shí)間: 2025-3-23 04:47 作者: Solace 時(shí)間: 2025-3-23 06:06 作者: Bone-Scan 時(shí)間: 2025-3-23 10:15
Big Data in Academic Research: Challenges, Pitfalls, and Opportunitiesobviating old ethical concerns. Nonetheless, Big Data offer many opportunities, allowing researchers to study previously inaccessible problems, with previously inconceivable sources of data. Although Big Data overcome some of the challenges of small data studies, Big Data studies will not supplant s作者: Consensus 時(shí)間: 2025-3-23 16:44
Big Data for Early Learners relatively straight forward yet appealing interactive activities, and support resources, to develop rudimentary but essential concepts and processes for each of the 4–7?years and 8–18?years age groups. A combination of activities and freely available software to support data exploration such as iNZ作者: 武器 時(shí)間: 2025-3-23 18:36 作者: 多節(jié) 時(shí)間: 2025-3-24 00:14 作者: Constrain 時(shí)間: 2025-3-24 02:23 作者: 果仁 時(shí)間: 2025-3-24 06:31 作者: overwrought 時(shí)間: 2025-3-24 10:43 作者: 嘮叨 時(shí)間: 2025-3-24 17:40
Museum Big Data: Perceptions and Practicesen Big Data in museums and Big Data in libraries, arts, and humanities. We also offer several case studies from museums operating Big Data projects, which illustrate problems, prerequisites and potentials.作者: 松軟 時(shí)間: 2025-3-24 20:51
Analysing Aspects of Brazilian Curricula for Teaching Statistics Involving Big Data 27 Brazilian states. Forty-five documents were selected and analysed in order to identify potentialities in the teaching of statistics for the secondary level of schooling. The content analysis indicated that only some curricular documents address the issue of big data, and even those documents did作者: happiness 時(shí)間: 2025-3-25 01:35
2543-0289 d for representing, integrating and exploring complex information..This book offers guidance to researchers who are seeking suitable topics to explore.?It presents research into the skills needed by data practi978-3-030-76843-0978-3-030-76841-6Series ISSN 2543-0289 Series E-ISSN 2543-0297 作者: Factual 時(shí)間: 2025-3-25 03:48 作者: 一罵死割除 時(shí)間: 2025-3-25 10:33
https://doi.org/10.1007/978-93-86279-17-0 and supply is widening. Big data, data science and the field of statistics are pervasive; every discipline across industry, business, government and education is increasingly generating copious data and combining data from multiple sources. Future generations will need to be familiar with data and 作者: Repatriate 時(shí)間: 2025-3-25 12:18 作者: 甜得發(fā)膩 時(shí)間: 2025-3-25 16:49
Linear programming and matrix games,rs the cooperation among academic, public, and private sector entities to further develop statistical skills to make effective use of the newly available data. Such cooperation offers opportunities for better understanding and learning from each other about best practices. This chapter specifically 作者: Glutinous 時(shí)間: 2025-3-25 23:37 作者: FLAG 時(shí)間: 2025-3-26 00:49
https://doi.org/10.1007/978-1-4612-4316-8for conceptual thinking focuses on higher-order thinking skills, exploration of equivalence of meaning among ideas, and relationships between issues that denote commonality of meaning across representations. MERLO learning assessments capture these important aspects of conceptual thinking. In this c作者: Palpate 時(shí)間: 2025-3-26 06:56 作者: 火海 時(shí)間: 2025-3-26 11:36 作者: 事情 時(shí)間: 2025-3-26 14:23 作者: convulsion 時(shí)間: 2025-3-26 20:19 作者: 喃喃而言 時(shí)間: 2025-3-26 20:57 作者: flex336 時(shí)間: 2025-3-27 02:52 作者: 很是迷惑 時(shí)間: 2025-3-27 06:02 作者: 培養(yǎng) 時(shí)間: 2025-3-27 12:23
Policy Implications of Research in Educationhttp://image.papertrans.cn/b/image/185700.jpg作者: 致敬 時(shí)間: 2025-3-27 15:30 作者: excursion 時(shí)間: 2025-3-27 19:19 作者: 亂砍 時(shí)間: 2025-3-28 01:38
Linear programming and matrix games,work of official data producers and universities working together to develop best practices and skilled analysts. It also describes the approaches and experiences of the Federal Statistical Office of Germany (Destatis).作者: FIG 時(shí)間: 2025-3-28 02:51
Statistical Education as Part of the Digital Transformation of Statistical Officeswork of official data producers and universities working together to develop best practices and skilled analysts. It also describes the approaches and experiences of the Federal Statistical Office of Germany (Destatis).作者: 種屬關(guān)系 時(shí)間: 2025-3-28 09:03
2543-0289 esearch.Describes novel ways of visualising data and open da.This book discusses how Big Data could be implemented in educational settings and research, using empirical data and suggesting both best practices and areas in which to invest future research and development. It also explores: 1) the use 作者: formula 時(shí)間: 2025-3-28 13:12 作者: gospel 時(shí)間: 2025-3-28 17:47 作者: 充氣女 時(shí)間: 2025-3-28 20:01 作者: 蘑菇 時(shí)間: 2025-3-29 00:29 作者: Estrogen 時(shí)間: 2025-3-29 04:57
Big Data for Early Learners and supply is widening. Big data, data science and the field of statistics are pervasive; every discipline across industry, business, government and education is increasingly generating copious data and combining data from multiple sources. Future generations will need to be familiar with data and 作者: 邪惡的你 時(shí)間: 2025-3-29 11:13 作者: 橫截,橫斷 時(shí)間: 2025-3-29 14:49 作者: 榨取 時(shí)間: 2025-3-29 18:56
Big Data, Analytics and Education: Challenges, Opportunities and an Example from a Large University (InfoQ) has been proposed by Kenett and Shmueli as a framework for assessing the quality of information generated by empirical studies by using specific empirical methods such as regression models, analysis of variance or predictive analytics. InfoQ is determined by eight dimensions: 1) Data Resolut
