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

该试点项目旨在开始组织世界各地的数字学习资源，为学习者提供个性化的建议，这些建议能够有效提高数学学习成果。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 7 年级数学学生和教师。该项目建立在 Gooru 平台之上，该平台为 140 个国家和美国所有 50 个州的 500,000 多个社区提供服务。 该平台利用社区众包来管理超过 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。该项目以 Gooru 资源为基础，通过对 Gooru 内的用户交互进行学习分析来发现最有利于学生的资源。 因此，可以针对个别学生量身定制学生资源，以最大程度地吸引学生并提高学生的学习效果。由于 Gooru 用户拥有自己的数据，因此需要明确选择加入才能共享数据，从而保护不想共享数据的学生的隐私。 Gooru 是开源且免费的，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.