WAVE: An architecture for predicting dropout in undergraduate courses using EDM

Proceedings of the ACM Symposium on Applied Computing

Volumn , Issue , 2014, Pages 243-245

  Manhães, Laci Mary Barbosa ^a   Da Cruz, Sérgio Manuel Serra ^b   Zimbrão, Geraldo ^a  

^a FEDERAL UNIVERSITY OF RIO DE JANEIRO   (Brazil)

^b FEDERAL RURAL UNIVERSITY OF RIO DE JANEIRO   (Brazil)

Author keywords

Academic Management System; Dropout; Educational Data Mining

Indexed keywords

EXPERIMENTS; FORECASTING;

ACADEMIC MANAGEMENTS; ACADEMIC REQUIREMENTS; DROPOUT; EDUCATIONAL DATA MINING; PUBLIC UNIVERSITIES; TRUE POSITIVE RATES; UNDERGRADUATE COURSES; UNDERGRADUATE ENGINEERING COURSE;

STUDENTS;

EID: 84905659674     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2554850.2555135     Document Type: Conference Paper

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