Florence Gabriel|Jason Signolet|Martin S. Westwell
A machine learning approach to investigating the effects of mathematics dispositions on mathematical literacy
Flinders University|University of South Australia|Flinders University
mathematics competency fast becoming essential requirement ever greater parts daytoday work life thus creating strategies improving mathematics learning students major goal education research however requires ability look many aspects mathematics learning demographics psychological dispositions integrated way part system largescale assessments programme international student assessment pisa provide accessible large volume coherent data gives researchers opportunity employ datadriven approaches gain overview system reasons used machine learning explore relationships psychological dispositions mathematical literacy australian 15yearolds using pisa 2012 data set results strongly datadriven approach reaffirm primacy mathematics selfefficacy highlight novel complex interactions mathematics selfefficacy mathematics anxiety socioeconomic status paper demonstrate education researchers usefully employ datadriven modelling techniques find complex nonlinear relationships novel interactions multidimensional data set