Research and Design of Decision-Making and Reference Information System for Discipline Construction in Application-Oriented Undergraduate Universities Based on Big Data Technology
- DOI
- 10.2991/978-94-6463-238-5_121How to use a DOI?
- Keywords
- Decision-making and Reference; Decision and reference; Information System
- Abstract
With the increasing popularity and application of big data in Chinese colleges and universities, profound changes have taken place in school management, teaching activities, informatization level, education research paradigms, and evaluation methods for various jobs. However, the management of discipline construction is still lagging behind. The current management mode of application-oriented undergraduate universities has several shortcomings, including reliance only on basic discipline data, inaccurate results, lack of in-depth analysis of discipline data, difficulty in accurately predicting the development trend of various disciplines, and the inability to achieve targeted management and sound decision-making. In this paper, a decision-making and reference information system for discipline construction is designed based on big data technology, which can partially solve the above-mentioned problems.
- 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
TY - CONF AU - Meijuan Zhou AU - Supeng Huang AU - Jiangdi Zhou PY - 2023 DA - 2023/09/26 TI - Research and Design of Decision-Making and Reference Information System for Discipline Construction in Application-Oriented Undergraduate Universities Based on Big Data Technology BT - Proceedings of the 2023 4th International Conference on Big Data and Informatization Education (ICBDIE 2023) PB - Atlantis Press SP - 937 EP - 945 SN - 1951-6851 UR - https://doi.org/10.2991/978-94-6463-238-5_121 DO - 10.2991/978-94-6463-238-5_121 ID - Zhou2023 ER -