| 期刊全称 | Adoption of Data Analytics in Higher Education Learning and Teaching | | 影响因子2023 | Dirk Ifenthaler,David Gibson | | 视频video | http://file.papertrans.cn/146/145066/145066.mp4 | | 发行地址 | Provides insights into how higher education institutions adopt learning analytics and data mining studies.Contributions from distinguished international researchers.Considers theoretical perspectives, | | 学科分类 | Advances in Analytics for Learning and Teaching | | 图书封面 |  | | 影响因子 | .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 | | Pindex | Book 2020 |
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