Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)

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Construction of Three-dimensional Network Teaching Resource Platform in Colleges and Universities under Big Data Technology

Authors
Yu Chen1, *, Jing Li1
1Weifang Engineering Vocational College, Qingzhou, Shandong, 262500, China
*Corresponding author. Email: adachen0909@163.com
Corresponding Author
Yu Chen
Available Online 28 September 2023.
DOI
10.2991/978-94-6463-264-4_56How to use a DOI?
Keywords
big data technology; three-dimensional teaching resources; Hadoop framework; Lucene algorithm; software application
Abstract

At present, there is a lack of unified planning for the construction and application of online teaching resources in colleges and universities, so that online teaching resources are relatively independent and scattered, and there are problems such as difficult transmission and sharing and low application efficiency. In this regard, this paper starts with the analysis of the construction and application status of online teaching resources in colleges and universities, and puts forward a set of construction scheme of three-dimensional online teaching resources platform to promote the innovative practice of teaching mode in colleges and universities. The platform takes big data technology as the core, uses Hadoop framework to complete the distributed storage and management of online teaching resources, and cooperates with Lucene algorithm tools to complete the design and development of search engines, which are encapsulated into standard Web applications under J2EE technology. Practice shows that the platform effectively solves a series of problems in the integration, circulation, application and management of online teaching resources in colleges and universities, expands the application dimension and improves the application efficiency, thus making a beneficial attempt for the construction of smart campus in colleges and universities under the big data environment.

Copyright
© 2024 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 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
28 September 2023
ISBN
10.2991/978-94-6463-264-4_56
ISSN
2589-4900
DOI
10.2991/978-94-6463-264-4_56How to use a DOI?
Copyright
© 2024 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

risenwbib
TY  - CONF
AU  - Yu Chen
AU  - Jing Li
PY  - 2023
DA  - 2023/09/28
TI  - Construction of Three-dimensional Network Teaching Resource Platform in Colleges and Universities under Big Data Technology
BT  - Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)
PB  - Atlantis Press
SP  - 496
EP  - 502
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-264-4_56
DO  - 10.2991/978-94-6463-264-4_56
ID  - Chen2023
ER  -