Content-type: text/html Downes.ca ~ Stephen's Web ~ Data-driven detection and characterization of communities of accounts collaborating in MOOCs

Stephen Downes

Knowledge, Learning, Community

This article reports on the analysis of data collected from Coursera MOOCs in order to identify different types of collaboration, which they classify as 'fruitful', 'free-riding', 'illicit', CAMEO (Copying Answers using Multiple Existences Online) helper, and CAMEO premeditated. "While collaborations in MOOCs are generally considered positive for the learning process, this work has revealed that not all students' collaborations can be considered as good or beneficial," write the authors. This to me reflects more weaknesses in the design and delivery of the MOOCs. That would be why, to my mind, "the majority of the associations that we detected have shown a low interest in learning the courseware and explicit dishonest behaviors."

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Stephen Downes Stephen Downes, Casselman, Canada
stephen@downes.ca

Copyright 2024
Last Updated: Nov 21, 2024 7:00 p.m.

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