A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf
.
Visualizing learner engagement, performance, and trajectories to evaluate and optimize online course design
2019
PLoS ONE
Learning analytics and visualizations make it possible to examine and communicate learners' engagement, performance, and trajectories in online courses to evaluate and optimize course design for learners. This is particularly valuable for workforce training involving employees who need to acquire new knowledge in the most effective manner. This paper introduces a set of metrics and visualizations that aim to capture key dynamical aspects of learner engagement, performance, and course
doi:10.1371/journal.pone.0215964
pmid:31059546
pmcid:PMC6502341
fatcat:wvmsoofmw5g7zitqnazxoesqmq