Contrasting profiles of low-performing mathematics students in public and private schools in the philippines: insights from machine learning

HIGHLIGHTS

• who: Allan B. I. Bernardo et al. from the Schools in the Philippines: Insights Department of Psychology, have published the Article: Contrasting Profiles of Low-Performing Mathematics Students in Public and Private Schools in the Philippines: Insights from Machine Learning, in the Journal: (JOURNAL) of 25/Nov/2021
• what: The study aims to identify the factors (personal and contextual) that differentiate the lowest-performing students from the other Filipino students in mathematics in public and private schools in the Philippines. Previous studies have shown that public and private schools in the Philippines have very different . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or E-mail:

  If you don't have an account, you can create one here.