five

Supporting data for “Developing algorithms to optimize recommender system for self-regulated learning promotion in online contexts: a design-based study”

收藏
Figshare2025-06-06 更新2026-04-28 收录
下载链接:
https://figshare.com/articles/dataset/Supporting_data_for_Developing_algorithms_to_optimize_recommender_system_for_self-regulated_learning_promotion_in_online_contexts_a_design-based_study_/28979072
下载链接
链接失效反馈
官方服务:
资源简介:
The database provides anonymous data of 107 students (only anonymous registered accounts are provided as identifiers), and contains the tracking data of students on the website (indicated by usage frequency). The self-reported pre - and post-measurement self-regulation ability (SRL) scores within 3 days, 5 days, 7 days, 15 days, 30 days and all days were provided respectively (measured by the online self-regulation learning questionnaire), and the pre - and post-measurement performance data before and after learning (using GRE argumentative essay writing as the task evaluation). The students participated in a fully online GRE argumentative essay writing course, which consisted of six classes. The students arranged their own time for the classes (to be completed within two months at the latest). The measurements of SRL and learning performance were conducted respectively before and after the start of the course.
创建时间:
2025-06-06
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作