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Facebook is a frequently used Computer Mediated Environment (CME) for students and others to build social connections, with identities and deposited self-expression. Its widespread use makes it appropriate for consideration as an educational tool; though one that does not yet have clear guidelines for use. Whether a social networking site can be used for(More)
This paper proposes the use of data available at Manchester Metropolitan University to assess the variables that can best predict student progression. We combine Virtual Learning Environment and MIS student records data sets and apply the Random Forest (RF) algorithm to ascertain which variables can best predict students' progression (students(More)
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