CAMEO Dataset: Detection and Prevention of "Multiple Account" Cheating in Massively Open Online Courses
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
View Archive InfoField | Value | |
Title |
CAMEO Dataset: Detection and Prevention of "Multiple Account" Cheating in Massively Open Online Courses
|
|
Identifier |
https://doi.org/10.7910/DVN/3UKVOR
|
|
Creator |
Northcutt, Curtis
Ho, Andrew Chuang, Isaac |
|
Publisher |
Harvard Dataverse
|
|
Description |
[NOTE: Data are currently only accessible to qualified reviewers. For reviewers, detailed dataset descriptions are provided as text files associated with each dataset.] This dataset includes statistics about student actions in MITx and HarvardX courses, used in an analysis of Copying Answers using Multiple Existences Online (CAMEO) behavior. The data are partially anonymized, but insufficiently so for open release. |
|
Subject |
Computer and Information Science
Social Sciences Other CAMEO |
|
Contributor |
Northcutt, Curtis
|
|