
<?xml version="1.0" encoding="UTF-8"?>
<record>
  <title>Assessing English Teaching and Evaluation Methods based on Neural Networks</title>
  <journal>International Journal of Computational Linguistics Research</journal>
  <author>Wen Zhang</author>
  <volume>16</volume>
  <issue>1</issue>
  <year>2025</year>
  <doi>https://doi.org/10.6025/ijclr/2025/16/1/18-25</doi>
  <url>https://www.dline.info/jcl/fulltext/v16n1/jclv16n1_3.pdf</url>
  <abstract>Neurolinguistics has been widely recognized for its focus on exploring the formation mechanisms of human
language and its potentially significant impact on language expressivity. This article introduces an evaluation
mechanism based on the BP neural network. It can help us better evaluate teaching effectiveness and potentially
significantly influence teaching outcomes. We aim to enhance teaching efficacy and assist learners in improving
their learning outcomes. Using MATLAB to assess the teaching efficiency of English classes, we found this
approach eliminates the subjective influence of professionals and yields satisfactory conclusions applicable in
various circumstances.</abstract>
</record>
