Personalized learning model based on machine learning algorithms

Abstract

Machine  learning  algorithms  have  been  widely  applied  in  the  field  of personalized   learning   within   educational   information   technology.   By leveraging  big  data  analysis  and  data  mining  techniques,  machine  learning can   help   identify   patterns   and   trends   in   students'   learning   behaviors, preferences,  and  performance.  This  information  can  then  be  used  to  tailor educational  resources  and  experiences  to  meet  the  individual  needs  and unique  characteristics  of  each  learner. Machine  learning  has  made  great progress and achievements in the teaching process of universities, but there are  also  some  shortcomings.  Such  as  data  dependence, over-fittingand under-fitting, explanatory problems, need a lot of computing resources, data bias,  sensitive  to  outliers,  cannot  solve  allproblems, and the  challenge  of data  privacy,  through  the  analysis  of  machine  learning  algorithm  model, efforts  to  find  ways  to  expand  the  dimension  of  personalized  learning classroom,   meet   the   students   in   learning   objectives,   learning   content, learning  methods  of  the  special  characteristics  and  unique  needs,  to  guide students to actively explore and research, obtain innovation and appropriate learning results.