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Mapping Network Structure and Diversity of Interdisciplinary Knowledge in Recommended MOOC Offerings
Zhang, Jingjing; Yang, Yehong; Barbera, Elena; Lu, Yu – International Review of Research in Open and Distributed Learning, 2022
In massive open online courses (MOOCs), recommendation relationships present a collection of associations that imply a new form of integration, such as an interdisciplinary synergy among diverse disciplines. This study took a computer science approach, using the susceptible-infected (SI) model to simulate the process of learners accessing courses…
Descriptors: Network Analysis, Interdisciplinary Approach, MOOCs, Electronic Learning
Reiss, Susan; Garrigan, Kathleen; Mixon, Bobbie; Hunter, Dana; Quade, Brittany; Zaninno, Denise – National Science Foundation, 2017
The National Science Foundation's (NSF) decades-long investment in science and engineering (S&E) research helped build the backbone of the U.S. scientific enterprise and transformed universities and colleges into centers of scientific innovation, creativity, knowledge and discovery. It also brought about the benefits of scientific…
Descriptors: Science Education, Engineering Education, Educational Innovation, Scientific Research