MARC状态：审校 文献类型：电子图书 浏览次数：23
- 题名/责任者:
- Data Driven Approaches in Digital Education 12th European Conference on Technology Enhanced Learning, EC-TEL 2017, Tallinn, Estonia, September 12–15, 2017, Proceedings / edited by Élise Lavoué, Hendrik Drachsler, Katrien Verbert, Julien Broisin, Mar Pérez-Sanagustín.
- 出版发行项:
- Cham : Springer International Publishing : Imprint: Springer, 2017.
- ISBN:
- 9783319666105
- 其它标准号:
- 10.1007/978-3-319-66610-5
- 载体形态项:
- XIX, 621 p. 115 illus. online resource.
- 主文献:
- Springer eBooks
- 其他载体形态:
- Printed edition: 9783319666099
- 丛编说明:
- Lecture Notes in Computer Science, 0302-9743 ; 10474
- 丛编统一题名:
- Lecture Notes in Computer Science, 10474
- 附加个人名称:
- Lavoué, Élise. editor.
- 附加个人名称:
- Drachsler, Hendrik. editor.
- 附加个人名称:
- Verbert, Katrien. editor.
- 附加个人名称:
- Broisin, Julien. editor.
- 附加个人名称:
- Pérez-Sanagustín, Mar. editor.
- 附加团体名称:
- SpringerLink (Online service)
- 论题主题:
- Computer science.
- 论题主题:
- Artificial intelligence.
- 论题主题:
- Application software.
- 论题主题:
- Education-Data processing.
- 论题主题:
- Computer Science.
- 论题主题:
- Computers and Education.
- 中图法分类号:
- O29
- 内容附注:
- Technology-Enhanced Learning -- Computer-assisted instruction.- Interactive learning environments.- Collaborative learning.- Learning management systems -- Distance learning -- E-Learning -- Data analytics -- Visual analytics -- Information visualization -- Online learning algorithms -- Machine learning -- Learning Anlaytics -- Recommender Systems.
- 摘要附注:
- This book constitutes the proceedings of the 12th European Conference on Technology Enhanced Learning, EC-TEL 2017, held in Tallinn, Estonia, in September 2017. The 24 full papers, 23 short papers, 6 demo papers, and 22 poster papers presented in this volume were carefully reviewed and selected from 141 submissions. The theme for the 12th EC-TEL conference on Data Driven Approaches in Digital Education' aims to explore the multidisciplinary approaches that eectively illustrate how data-driven education combined with digital education systems can look like and what are the empirical evidences for the use of datadriven tools in educational practices.
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