Evaluating the effectiveness of educational data mining techniques for early prediction of students’ academic failure in introductory programming courses

Computers in Human Behavior

Volumn 73, Issue , 2017, Pages 247-256

  Costa, Evandro B ^a   Fonseca, Baldoino ^a   Santana, Marcelo Almeida ^a   de Araújo, Fabrísia Ferreira ^b,c   Rego, Joilson ^d  

^a FEDERAL UNIVERSITY OF ALAGOAS   (Brazil)

^b Federal Institute of Alagoas (IFAL)   (Brazil)

^c FEDERAL UNIVERSITY OF CAMPINA GRANDE   (Brazil)

^d FEDERAL UNIVERSITY OF RIO GRANDE DO NORTE   (Brazil)

Author keywords

Artificial intelligence in education; Automatic instructional planner; Automatic prediction; Educational data mining; Interactive learning environment; Learner modeling

Indexed keywords

COMPUTER AIDED INSTRUCTION; DATA MINING; DISTANCE EDUCATION; FAILURE ANALYSIS; FORECASTING; LEARNING SYSTEMS; STUDENTS;

ARTIFICIAL INTELLIGENCE IN EDUCATION; AUTOMATIC INSTRUCTIONAL PLANNER; AUTOMATIC PREDICTION; EDUCATIONAL DATA MINING; INTERACTIVE LEARNING ENVIRONMENT; LEARNER MODEL;

EDUCATION;

ACADEMIC FAILURE; ARTIFICIAL INTELLIGENCE; COMPARATIVE EFFECTIVENESS; DATA MINING; HUMAN; HUMAN EXPERIMENT; LEARNING ENVIRONMENT; MODEL; PREDICTION; STUDENT; SUPPORT VECTOR MACHINE; UNIVERSITY;

EID: 85016290685     PISSN: 07475632     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chb.2017.01.047     Document Type: Article

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