Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)

Research on the Development Technology of B-learning System Based on Web3.0

Authors
Rui Ge1, *
1College of Public Finance and Administration, Harbin University of Commerce, Harbin, Heilongjiang, China
*Corresponding author. Email: hebgerui96@163.com
Corresponding Author
Rui Ge
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-040-4_13How to use a DOI?
Keywords
Web3.0; B-learning; Educational technology; Collaborative filtering; Gradient Boosting Decision Tree
Abstract

With the continuous promotion of educational informatization, blended learning, which combines the advantages of traditional teaching and learning methods with the advantages of online learning, has become the core issue of education reform in the era of Web3.0. Based on the theory of constructivism and humanism, guided by the basic idea of B-learning, this paper constructs a blended learning support service system from five dimensions of subject-object support, community support, resource support, collaborative support and evaluation support according to the thought and technology of Web3.0. At the same time, according to the technical architecture, it analyzes the development technology for realizing B-Learning3.0 system, including PHP application development technology, Web database technology, x API monitoring technology, personalized recommendation technology, and Web3.0 technology, etc. and completes the basic work from system construction to technology implementation. In addition, we conducted two case studies: (1) Based on the Gradient Boosting Decision Tree (GBDT) model and two different educational data sets, the teaching quality is evaluated with the accuracy of 0.891 and 0.879 respectively. The experimental results show that our proposed model outperforms all the benchmark models; (2) To recommend a more accurate courses to students, a course recommendation algorithm is designed based on collaborative filtering, and achieved more than 80% accuracy.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
27 December 2022
ISBN
978-94-6463-040-4
ISSN
2589-4900
DOI
10.2991/978-94-6463-040-4_13How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Rui Ge
PY  - 2022
DA  - 2022/12/27
TI  - Research on the Development Technology of B-learning System Based on Web3.0
BT  - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)
PB  - Atlantis Press
SP  - 78
EP  - 84
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-040-4_13
DO  - 10.2991/978-94-6463-040-4_13
ID  - Ge2022
ER  -