Vanessa T Siy Van, Victor A Antonio, Carmina P Siguin, Normahitta P Gordoncillo, Joselito T Sescon, Clark C Go, Eden P Miro
Predicting undernutrition among elementary schoolchildren in the Philippines using machine learning algorithms
Nutrition (Burbank, Los Angeles County, Calif.)
studys goal identify beginning 1st grade quantitative competencies predict mathematics achievement start point growth 5th grade measures number counting arithmetic competencies administered early 1st grade used predict mathematics achievement 5th n 177 controlling intelligence working memory processing speed multilevel models revealed intelligence processing speed central executive component working memory predicted achievement achievement growth mathematics contrast domain word reading phonological loop uniquely predictive word reading visuospatial sketch pad mathematics early fluency processing manipulating numerical set size arabic numerals accurate use sophisticated counting procedures solving addition problems accuracy making placements mathematical number line uniquely predictive mathematics achievement use memorybased processes solve addition problems predicted mathematics reading achievement different ways results identify early quantitative competencies uniquely contribute mathematics learning