| 书目名称 | Machine Learning Paradigms |
| 副标题 | Advances in Learning |
| 编辑 | Maria Virvou,Efthimios Alepis,Lakhmi C. Jain |
| 视频video | |
| 概述 | Presents recent machine learning paradigms and advances in learning analytics.Provides concise coverage from the vantage point of a newcomer, but will also appeal to experts/researchers in learning an |
| 丛书名称 | Intelligent Systems Reference Library |
| 图书封面 |  |
| 描述 | .This book presents recent machine learning paradigms and advances in learning analytics, an emerging research discipline concerned with the collection, advanced processing, and extraction of useful information from both educators’ and learners’ data with the goal of improving education and learning systems. In this context, internationally respected researchers present various aspects of learning analytics and selected application areas, including:.• Using learning analytics to measure student engagement, to quantify the learning experience and to facilitate self-regulation;.• Using learning analytics to predict student performance;.• Using learning analytics to create learning materials and educational courses; and.• Using learning analytics as a tool to support learners and educators in synchronous and asynchronous eLearning.. .The book offers a valuable asset for professors, researchers, scientists, engineers and students of all disciplines. Extensive bibliographies at the end of each chapter guide readers to probe further into their application areas of interest.. |
| 出版日期 | Book 2020 |
| 关键词 | Learning Analytics; Mobile Learning; Educational Tools; Social Network Learning; Big Learning Data; Analy |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-13743-4 |
| isbn_ebook | 978-3-030-13743-4Series ISSN 1868-4394 Series E-ISSN 1868-4408 |
| issn_series | 1868-4394 |
| copyright | Springer Nature Switzerland AG 2020 |
发表于 2025-3-21 17:11:46
