Diverse Big Data and Randomized Field Experiments in MOOCs
Diverse Big Data and Randomized Field Experiments in MOOCs
复制标题
MOOC 中的多样化大数据和随机现场实验
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
Christopher A. Brooks
中科院分区：
文献类型：
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作者：
René F. Kizilcec;Christopher A. Brooks
产生了前所未有的数量的教育IC社区，激发了人们对历史上较少参与学习跨学科社区的学科的兴趣，并在教育、计算机科学、人为因素和统计学的交叉领域产生了全新的社区。对于研究：不仅可以获得大量而且多样化的学习者级别的教育数据，并且有机会
have generated unprecedented amounts of educational ic communities and sparked interests in disciplines that were historically less involved in the learning terdisciplinary communities and given rise to entirely new communities at the intersections of education, computer science, human factors, and statistics. For research: the availability of not just big but also diverse learner-level educational data, and the opportunity to