Comparison of Artificial Neural Networks and Logistic Regression Analysis in PISA Science Literacy Success Prediction

Volume: 7, Issue: 2, Pages: 99 - 111
Published: Oct 30, 2022
Abstract
The present study aims to determine which analysis technique-Artificial Neural Networks (ANNs) or Logistic Regression (LR) Analysis-is better at predicting the science literacy success of the 15-year Turkish students who participated in PISA research carried out in 2015 by using learning time spent on science, test anxiety, environmental awareness, environmental optimism, epistemological beliefs, inquiry-based science teaching and learning...
Paper Details
Title
Comparison of Artificial Neural Networks and Logistic Regression Analysis in PISA Science Literacy Success Prediction
Published Date
Oct 30, 2022
Volume
7
Issue
2
Pages
99 - 111
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.