| 書目名稱 | Machine Learning in Educational Sciences |
| 副標題 | Approaches, Applicat |
| 編輯 | Myint Swe Khine |
| 視頻video | http://file.papertrans.cn/621/620669/620669.mp4 |
| 概述 | Focuses on real-world applications of machine learning in education.Discusses the potential of machine learning for improving education and training processes.Promotes ongoing research and the refinem |
| 圖書封面 |  |
| 描述 | .This comprehensive volume investigates the untapped potential of machine learning in educational settings. It examines the profound impact machine learning can have on reshaping educational research. Each chapter delves into specific applications and advancements, sheds light on theory-building, and multidisciplinary research, and identifies areas for further development. It encompasses various topics, such as machine-based learning in psychological assessment. It also highlights the power of machine learning in analyzing large-scale international assessment data and utilizing natural language processing for science education. With contributions from leading scholars in the field, this book provides a comprehensive, evidence-based framework for leveraging machine-learning approaches to enhance educational outcomes. The book offers valuable insights and recommendations that could help shape the future of educational sciences.?. |
| 出版日期 | Book 2024 |
| 關(guān)鍵詞 | Learning Analytics; Data Science in Education; Educational Data Mining; Machine Learning; Natural Langua |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-99-9379-6 |
| isbn_softcover | 978-981-99-9381-9 |
| isbn_ebook | 978-981-99-9379-6 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
|Archiver|手機版|小黑屋|
派博傳思國際
( 京公網(wǎng)安備110108008328)
GMT+8, 2025-11-1 15:56
發(fā)表于 2025-3-21 16:31:53
