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Predicting Academic Achievement of High-School Students Using Machine Learning
Author(s) -
Hudson Golino,
Cristiano Mauro Assis Gomes,
D. A. Andrade
Publication year - 2014
Publication title -
psychology
Language(s) - English
Resource type - Journals
eISSN - 2152-7199
pISSN - 2152-7180
DOI - 10.4236/psych.2014.518207
Subject(s) - rasch model , psychology , metacognition , test (biology) , scale (ratio) , academic achievement , set (abstract data type) , mathematics education , random forest , class (philosophy) , sample (material) , machine learning , artificial intelligence , developmental psychology , cognition , computer science , paleontology , chemistry , physics , chromatography , quantum mechanics , neuroscience , biology , programming language

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