All Title Author
Keywords Abstract

Publish in OALib Journal
ISSN: 2333-9721
APC: Only $99


Relative Articles


Predicting Learners Performance Using Artificial Neural Networks in Linear Programming Intelligent Tutoring System

Keywords: Linear Programming , Intelligent Tutoring System , backprobagation , Artificial Neural Network

Full-Text   Cite this paper   Add to My Lib


In this paper we present a technique that employ Artificial Neural Networks and expert systems to obtain knowledge for the learner model in the Linear Programming Intelligent Tutoring System(LP-ITS) to be able to determine the academic performance level of the learners in order to offer him/her the properdifficulty level of linear programming problems to solve. LP-ITS uses Feed forward Back-propagation algorithm to be trained with a group of learners data to predict their academic performance. Furthermore, LP-ITS uses an Expert System to decide the proper difficulty level that is suitable with the predicted academic performance of the learner. Several tests have been carried out to examine adherence to real time data. The accuracy of predicting the performance of the learners is very high and thus states that the Artificial Neural Network is skilled enough to make suitable predictions.


comments powered by Disqus

Contact Us


WhatsApp +8615387084133

WeChat 1538708413