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PROACTIVE CONTENT RECOMMENDATION IN TEACHING SPACE

机译:教学空间中的积极内容推荐

摘要

A modern, personalized, adaptive learning experience may be enabled for distinct groups of students. Content entered in a notebook application or similar platform may be analyzed. Content from a learning object repository may then be selected to be suggested based on comparison with the entered content. A style may also be determined based on one or more of a common attribute of a group of teachers, a common attribute of a group of students, or a rule of an organization. The selected content to be suggested may be automatically customized to conform to the style and a lesson plan, and the customized content may be provided to a client application or another service to be displayed in conformance with the lesson plan to students supporting teachers by freeing teachers' time through optimization of the learning process, creation of easy and simple to use experiences, and actionable analytics and proactive alerts.
机译:可以为不同的学生群体提供现代的,个性化的适应性学习体验。可以分析在笔记本应用程序或类似平台中输入的内容。然后可以基于与输入内容的比较来选择来自学习对象存储库的内容以提出建议。也可以基于一组教师的共同属性,一组学生的共同属性或组织的规则中的一个或多个来确定样式。可以自动定制要建议的所选内容以符合样式和课程计划,并且可以通过释放教师将定制的内容提供给客户端应用程序或另一种服务,以根据课程计划向支持老师的学生显示通过优化学习过程,创建简单易用的体验以及可行的分析和主动警报来节省时间。

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