Ting-Yu Huang, Jorn Chi Chung Yu
Assessment of artificial intelligence to detect gasoline in fire debris using HS-SPME-GC/MS and transfer learning
Journal of forensic sciences
even though field learning analytics la experienced expressive growth last years vast majority works found literature usually focusing experimentation techniques methods datasets restricted given discipline course institution still works manipulating region countrywide datasets may since implementation la national regional scope using data governments institutions poses many challenges may threaten success initiatives including availability data present article describes experience la latin america using governmental data elementary middle schools state norte de santander colombia study focusing students performance data 2013 2018 collected containing information related 1 students enrollment school disciplines provided regional education secretary 2 students qualifications provided educational institutions 3 students qualifications provided national agency education evaluation methodology followed includes process cleaning integration data subsequently descriptive visualization analysis made educational data mining techniques used decision trees clustering modeling extraction educational patterns total eight patterns interest extracted addition decision trees feature ranking analysis performed using xgboost facilitate visual representation clusters tsne selforganized maps som applied result projection techniques finally paper compares main challenges mentioned literature according colombian experience proposes uptodate list challenges solutions used baseline future works area aligned latin american context reality