Searching the RRID Resource Information Network
Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
Michael Ginda, Katy Borner, Michael Richey, Mark Cousino 2020. edX Learner and Course Analytics and Visualization Pipeline. protocols.io dx.doi.org/10.17504/protocols.io.be9ijh4eCopy Citation Copied
URL: https://dx.doi.org/10.17504/protocols.io.be9ijh4e
Authors: Michael Ginda, Katy Borner, Michael Richey, Mark Cousino
Summary: The edX Student and Course Analytics and Visualization Pipeline is analytics and visualization pipeline using edX course database and user logs, written in R to 1) to extract and process student users and performance data, course structures and event logs; 2) create learner trajectory networks of use and pathways through course content and activity modules; 3) analyze the students use of course content modules; and 4) aggregate student performance and interaction measurements for a given course.
Affiliations: Indiana University at Bloomington, Indiana University at Bloomington, The Boeing Corportation, The Boeing Corporation
External URL: https://github.com/cns-iu/edx-learnertrajectorynetpipeline
Version: 5
Publication Date: 2020
Expand AllComing soon.
Check
for all resource mentions.
Coming soon.
Source: Protocols.io
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
Email: info_at_ dknet.org
