Collaborative Research: Personalizing Recommendations in a Large-scale Education Analytics Pipeline

该试点项目的目标是开始组织世界上的数字学习资源，为学习者提供个性化的建议，使他们能够参与并有效地提高数学学习成果。该项目通过开发众包技术来组织学习资源，并通过分析学生的在线学习活动来实现这一目标。教师是这个项目不可或缺的一部分。 该试点项目的目标受众是七年级数学学生和教师。该项目建立在Gooru平台上，该平台为140个国家和美国所有50个州的50多万社区提供服务。 该平台利用其社区的众包来管理超过70，000个免费网络资源集合，其中包括超过16，000，000个教育资源。该项目建立在Gooru资源的基础上，通过对Gooru中的用户交互进行学习分析，发现最有利于学生的资源。 因此，学生资源可以针对单个学生进行定制，以最大限度地吸引学生并改善学生的学习。由于Gooru用户拥有他或她的数据，因此需要明确选择共享数据，从而保护不希望共享数据的学生的隐私。Gooru是开源和免费的，因此使用该平台没有经济障碍（除了互联网接入）。

This pilot project aims to begin to organize the world's digital learning resources to make personalized recommendations to learners that are engaging and effective in increasing mathematics learning outcomes. The project accomplishes this goal by developing crowdsourcing techniques to organize learning resources and by analyzing the online learning activities of the student. Teachers are an integral part of this project. The target audience for this pilot is 7th grade mathematics students and teachers.This project builds upon the Gooru platform that serves a community of over 500,000 in 140 countries and all 50 US states. The platform uses crowdsourcing by its community to curate over 70,000 collections of free web resources consisting of over 16,000,000 education resources. This project builds upon the Gooru resources by using learning analytics on the user interactions within Gooru to discover the resources that most benefit students. Thus, student resources can be tailored to the individual student to maximally engage the student and improve the students learning. Since the Gooru user owns his or her data, explicit opt-in is required for the sharing of data thus protecting the privacy of students who wish not to share their data. Gooru is open source and free so there are no economic barriers (besides internet access) to using the platform.