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Titlebook: Adoption of Data Analytics in Higher Education Learning and Teaching; Dirk Ifenthaler,David Gibson Book 2020 Springer Nature Switzerland A

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發(fā)表于 2025-3-21 19:11:59 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Adoption of Data Analytics in Higher Education Learning and Teaching
影響因子2023Dirk Ifenthaler,David Gibson
視頻videohttp://file.papertrans.cn/146/145066/145066.mp4
發(fā)行地址Provides insights into how higher education institutions adopt learning analytics and data mining studies.Contributions from distinguished international researchers.Considers theoretical perspectives,
學(xué)科分類Advances in Analytics for Learning and Teaching
圖書封面Titlebook: Adoption of Data Analytics in Higher Education Learning and Teaching;  Dirk Ifenthaler,David Gibson Book 2020 Springer Nature Switzerland A
影響因子.The book aims to advance global knowledge and practice in applying data science to transform higher education learning and teaching to improve personalization, access and effectiveness of education for all. Currently, higher education institutions and involved stakeholders can derive multiple benefits from educational data mining and learning analytics by using different data analytics strategies to produce summative, real-time, and predictive or prescriptive insights and recommendations. Educational data mining refers to the process of extracting useful information out of a large collection of complex educational datasets while learning analytics emphasizes insights and responses to real-time learning processes based on educational information from digital learning environments, administrative systems, and social platforms..This volume?provides insight into the emerging paradigms, frameworks, methods and processes of managing change to better facilitate organizational transformation toward implementation of educational data mining and learning analytics. It features current research exploring the (a) theoretical foundation and empirical evidence of the adoption of learning analyt
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Stakeholder Perspectives (Staff and Students) on Institution-Wide Use of Learning Analytics to Improxtensive use of sensitivity analyses.Emphasis is on getting Since the 1960s, operations research (or, alternatively, management science) has become an indispensable tool in scientific management. In simple words, its goal on the strategic and tactical levels is to aid in decision making and, on the
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How and Why Faculty Adopt Learning Analyticss that deflationary monetary policy supported by lump-sum taxation is able to implement a Pareto-optimal allocation as stationary perfect-foresight equilibrium. He himself raises the question whether his “conclusions are robust to other assumptions about the nature of competition or the monetary sec
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Supporting Faculty Adoption of Learning Analytics within the Complex World of Higher Educatione bestimmte L?sung zu bestimmen. Bei optimierenden Verfahren ist die Optimalit?t der L?sung garantiert, so dass früher die wesentlichen Merkmale für den Vergleich von Algorithmen der ben?tigte Speicherplatz und die notwendige Rechenzeit bis zur L?sung des Modells waren. Bereits in Abschnitt 3.12 wur
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Experiences in Scaling Up Learning Analytics in Blended Learning Scenariosder Simulation mit Risikoanalyse und der Warteschlangentheorie dar...An didaktisch sinnvoll ausgew?hlten praktischen Beispielen aus der Planungsrechnung verschiedener Funktionsbereiche werden zum einen L?sungsmethoden wie die Simplexmethode mit ihren Varianten, die parametrische Planungsrechnung und
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