A student's grade evaluation model for network teaching system based on BP algorithm

The development of network technology is promoting the rapid transformation of human education mode. How to properly and effectively evaluate a student's grade in the new education environment is a difficult problem. In the paper, firstly, the characteristics of student learning in the network...

Full description

Saved in:
Bibliographic Details
Main Authors: Xia Jun, Zhang Yinshuo, Wang Peng
Format: Conference Proceeding
Language:English
Subjects:
BP algorithm
grade evaluation model
MATLAB
network teaching system
Neurons
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The development of network technology is promoting the rapid transformation of human education mode. How to properly and effectively evaluate a student's grade in the new education environment is a difficult problem. In the paper, firstly, the characteristics of student learning in the network teaching are introduced. Then, a student's grade evaluation model based on the characteristics of network teaching is designed, and the BP network with three-layer structure is used to evaluate the student's grade after trained with some representative samples. Lastly, the result shows that the training process is changing to the convergence, and the convergence effect is good. The model is helpful to give some suggestions for a student changing his learning strategies and learning contents in the next step, reminding him timely to adjust his learning schedule and learning methods.
DOI:10.1109/MIC.2013.6758022