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Titlebook: Learning Analytics; From Research to Pra Johann Ari Larusson,Brandon White Book 2014 Springer Science+Business Media New York 2014 Data Min

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發(fā)表于 2025-3-21 19:20:54 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Learning Analytics
副標題From Research to Pra
編輯Johann Ari Larusson,Brandon White
視頻videohttp://file.papertrans.cn/583/582682/582682.mp4
概述Consolidates current Learning Analytics research into one volume.Includes numerous examples of Learning Analytics implementations.Provides strategies for integrating Learning Analytics at the classroo
圖書封面Titlebook: Learning Analytics; From Research to Pra Johann Ari Larusson,Brandon White Book 2014 Springer Science+Business Media New York 2014 Data Min
描述.In education today, technology alone doesn‘t always lead to immediate success for students or institutions. In order to gauge the efficacy of educational technology, we need ways to measure the efficacy of educational practices in their own right. Through a better understanding of how learning takes place, we may work toward establishing best practices for students, educators, and institutions. These goals can be accomplished with learning analytics..Learning Analytics: From Research to Practice .updates this emerging field with the latest in theories, findings, strategies, and tools from across education and technological disciplines. Guiding readers through preparation, design, and examples of implementation, this pioneering reference clarifies LA methods as not mere data collection but sophisticated, systems-based analysis with practical applicability inside the classroom and in the larger world..Case studies illustrate applications of LA throughoutacademic settings (e.g., intervention, advisement, technology design), and their resulting impact on pedagogy and learning. The goal is to bring greater efficiency and deeper engagement to individual students, learning communities, a
出版日期Book 2014
關鍵詞Data Mining and Education; Knowledge Assessment in Education; LA and Education; Learning Analytics and
版次1
doihttps://doi.org/10.1007/978-1-4614-3305-7
isbn_softcover978-1-4939-4440-8
isbn_ebook978-1-4614-3305-7
copyrightSpringer Science+Business Media New York 2014
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發(fā)表于 2025-3-21 22:52:33 | 只看該作者
Analytics Through an Institutional Lens: Definition, Theory, Design, and Impactetention, and institutional decision-making (Long and Siemens 2011). But what does analytics mean to an institution and how might an institution implement some form of analytics? Further, what can institutions expect from the successful implementation of analytics?
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發(fā)表于 2025-3-22 12:00:02 | 只看該作者
Educational Data Mining and Learning Analyticsarticular interest in the EDM and learning analytics communities, and how this has changed as the field matures and has moved to making significant contributions to both educational research and practice.
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發(fā)表于 2025-3-22 14:18:15 | 只看該作者
The Data-Assisted Approach to Building Intelligent Technology-Enhanced Learning Environments information visualization in online discussion forums, the use of clustering for lecture capture viewership, and the ability to customize indexes in lecture capture playback. As each case study is described, the sensemaking process is contextualized to the different instructional experts that are involved.
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發(fā)表于 2025-3-22 20:34:21 | 只看該作者
trategies for integrating Learning Analytics at the classroo.In education today, technology alone doesn‘t always lead to immediate success for students or institutions. In order to gauge the efficacy of educational technology, we need ways to measure the efficacy of educational practices in their ow
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發(fā)表于 2025-3-23 05:19:20 | 只看該作者
Harnessing the Currents of the Digital Oceangital “digital desert” to a post-digital “digital ocean.” Using the framework of Evidence Centered Design (Language testing, 19(4), 477–496, 2002) they suggest that the core processes of educational assessment and data collection can be re-thought in terms of new capabilities from computing devices
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