Predicting Students' Progression in Higher Education by Using the Random Forest Algorithm

Systems Research and Behavioral Science

Volumn 30, Issue 2, 2013, Pages 194-203

  Hardman, Julie ^a   Paucar Caceres, Alberto ^a   Fielding, Alan ^b  

^a MANCHESTER METROPOLITAN UNIVERSITY   (United Kingdom)

^b MANCHESTER METROPOLITAN UNIVERSITY   (United Kingdom)

Author keywords

Evaluation; Management information systems; Random Forest; Student progression; Virtual learning environment

Indexed keywords

EVALUATION; HIGHER EDUCATION; LARGE AMOUNTS; LEARNING ENVIRONMENTS; RANDOM FOREST ALGORITHM; RANDOM FORESTS; TIME OF DAY; VIRTUAL LEARNING ENVIRONMENTS;

ALGORITHMS; DECISION TREES; E-LEARNING; ENVIRONMENTAL MANAGEMENT; FORECASTING; MANAGEMENT INFORMATION SYSTEMS;

STUDENTS;

EID: 84875845329     PISSN: 10927026     EISSN: 10991743     Source Type: Journal    
DOI: 10.1002/sres.2130     Document Type: Article

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