图 书 馆
机器学习能为开放教育做些什么？What can machine learning do for open education? |
|
| 课程网址: | http://videolectures.net/ocwc2014_gordon_open_education/ |
| 主讲教师: | Geoffrey J. Gordon |
| 开课单位: | 卡内基梅隆大学 |
| 开课时间: | 2014-06-23 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | One of the big promises of open and massively online education is easy data collection: we can record everything from students’ habits in reading and viewing lectures, to their participation in discussion groups, to their timing and performance on exercises. So, open education is a natural fit for machine learning - for example, we can use ML to predict future student performance, to select and sequence learning activities, and even to help grade some types of assignments. But there’s a lot more left to do: I’ll argue that even-bigger gains can come from ML that’s focused on understanding educational content and how students learn it, and on communicating this understanding to human educators. To achieve such understanding and communication, we need to take advantage of ML techniques including representation learning, structured learning, and exploration / experimentation. |
| 关 键 词: | 开放式大规模在线教育; 机器学习; 教育内容 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2022-02-11：zkj |
| 最后编审: | 2022-02-11：zkj |
| 阅读次数: | 58 |