Mining Wellness and Performance Data to Identify At-Risk First-Year Engineering Students
dc.contributor.author | Du Plessis SA | |
dc.contributor.author | Botha HL | |
dc.date.accessioned | 2013-07-03T08:31:26Z | |
dc.date.available | 2013-07-03T08:31:26Z | |
dc.date.issued | 2012 | |
dc.description | Algemeen | |
dc.description | Afdeling Studente- en Akademiese Steun (SAS) | |
dc.description | Please help us populate SUNScholar with the post print version of this article. It can be e-mailed to: scholar@sun.ac.za | |
dc.identifier.uri | http://hdl.handle.net/10019.1/82887 | |
dc.title | Mining Wellness and Performance Data to Identify At-Risk First-Year Engineering Students | |
dc.type | Proceedings International |