Predicting student academic performance in an engineering dynamics course: A comparison of four types of predictive mathematical models

Computers and Education

Volumn 61, Issue 1, 2013, Pages 133-145

  Huang, Shaobo ^a   Fang, Ning ^a  

^a Utah State University   (United States)

Author keywords

Applications in subject areas; Postsecondary education; Teaching learning strategies

Indexed keywords

ACADEMIC PERFORMANCE; ACCURATE PREDICTION; APPLICATIONS IN SUBJECT AREAS; COMPREHENSIVE EXAMS; CORE COURSE; DATA POINTS; EDUCATIONAL INTERVENTION; ENGINEERING UNDERGRADUATES; MULTI-LAYER PERCEPTION; MULTIPLE LINEAR REGRESSION MODELS; NETWORK MODELS; POSTSECONDARY EDUCATION; PREDICTION ACCURACY; PREDICTOR VARIABLES; RADIAL BASIS FUNCTIONS; RESEARCH TOPICS; STUDENT LEARNING; SUPPORT VECTOR; TEACHING/LEARNING STRATEGY;

CALCULATIONS; DYNAMICS; FORECASTING; LINEAR REGRESSION; MATHEMATICAL MODELS; RADIAL BASIS FUNCTION NETWORKS; STUDENTS; SUPPORT VECTOR MACHINES;

EDUCATION COMPUTING;

EID: 84867619184     PISSN: 03601315     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compedu.2012.08.015     Document Type: Article

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