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

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.

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Publication Details

Journal
Journal of Cases on Information Technology
Published
2024-08-23
DOI
https://doi.org/10.4018/jcit.349740
Citations
7
Primary Topic
Underground infrastructure and sustainability
Type
article
Field-Weighted Citation Impact
1.86
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article

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

Wenbo Yu, Libo Xu
7 citations
Journal of Cases on Information Technology
Underground infrastructure and sustainability
1.86
article

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

Wenbo Yu, Libo Xu
article en
7 citations

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.

Journal of Cases on Information TechnologyVol. 26(1)
Shenyang Institute of Engineering (CN)
Openalex Percentile: Top 16%
Underground infrastructure and sustainability
1.86
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Design and Implementation of Artificial Intelligence Online Learning Platform Based on Resource Scheduling Technology — Wenbo Yu, Libo Xu · Journal of Cases on Information Technology (2024) | TGRS Research Map | TGRS