MOOCCubeX: A Large Knowledge-centered Repository for Adaptive Learning in MOOCs

• DOI: 10.1145/3459637.3482010
• Publication Date: 2021-10-30T18:34:11Z
• Authors: Jifan Yu; Yuquan Wang; Qingyang Zhong; Gan Luo; Yiming Mao; Kai Sun; Wenzheng Feng; Wei Xu; Shulin Cao; Kaisheng Zeng; Zijun Yao; Lei Hou; Yankai Lin; Peng Li; Jie Zhou; Bin Xu; Juanzi Li; Jie Tang; Maosong Sun
• Keywords: Knowledge graph

The prosperity of massive open online courses provides fodder for plentiful research efforts on adaptive learning. However, current open-access educational datasets are still far from sufficient to meet the need various topics Existing released often cover only small-scale data, lack fine-grained knowledge concepts. They even difficult curate and supplement due platform limitations. In this work, we construct MOOCCubeX, a large, knowledge-centered repository consisting 4,216 courses, 230,263 videos, 358,265 exercises, 637,572 concepts over 296 million behavioral data 3,330,294 students, supporting learning in MOOCs. Licensed by XuetangX, one largest MOOC websites China, obtain abundant diverse course resources student permitted make subsequent periodic updates. We propose framework accomplish processing, weakly supervised concept graph mining, curation improve usability richness. Based concepts, re-organize perspective acquire more external web. Our is now available at https://github.com/THU-KEG/MOOCCubeX.