Massively Open Online Course for Educators (MOOC-Ed) network dataset

The dataset provides detailed information on the communications taking place between learners in two offerings of the Massively Open Online Course for Educators (MOOC-Eds) titled The Digital Learning Transition in K-12 Schools. The courses were offered to educators from the USA and abroad during the spring and fall of 2013. Though based on the same course, minor controlled variations were made to both MOOCs in terms of the course length, discussion prompts, and group size. The primary use of this dataset is to enable social network analyses (SNAs) of these communications. In particular, it allows modeling network mechanisms to better understand factors that facilitate or impede the exchange of information among educators, and includes relevant characteristics of the participants, such as their professional roles and their experience in education.

本数据集详细记录了两门名为《K-12学校中的数字化学习转型》的面向教育者的大规模开放在线课程（Massively Open Online Course for Educators，MOOC-Eds）学员之间的通信交互详情。该两门课程于2013年春季与秋季面向美国及海外教育者开放。尽管二者均依托同一套课程体系开发，但在课程时长、讨论提示以及小组规模三个维度均设置了可控的细微差异。本数据集的核心用途是支持针对上述通信交互的社会网络分析（Social Network Analyses，SNAs）。具体而言，该数据集可用于构建网络机制模型，以深入探究影响教育者间信息交流的促进与阻碍因素；同时包含了参与者的相关特征信息，例如其职业角色与教育从业经验。