Design and Implementation of Artificial Intelligence Online Learning Platform Based on Resource Scheduling Technology

Abstract

Online learning (OL) is a new platform, which is used as a supplementary resource to improve the teaching and learning process in university education. The open educational resources provide supplementary resources for strengthening online learning platform. In this work, an artificial intelligence-based online learning platform is designed that can manage resources using scheduling technology. The OL platform automatically allocates resources through appropriate cluster-based scheduling technology. The proposed deep learning-based OL platform (DLOL) supports the sequential integration of the model by simplifying and adjusting the model operating environment. Combined with the fuzzy-based convolutional neural networks, the decision tree algorithm is used to implement OL platform using blockchain models. The research results proved that artificial intelligence can help students improve their learning ability and makes the learning process relatively easy and exciting.