Design Swarm Intelligence Algorithm Based on Artificial Intelligence in Teaching Quality Evaluation Reform System in Colleges
- DOI
- 10.2991/978-94-6463-058-9_154How to use a DOI?
- Keywords
- A I; Swarm Intelligence Algorithm; T Q Evaluation System; Design Research
- Abstract
The maturity of big data has led to the emergence of artificial intelligence technology (AIT), and AIT has also begun to become a hot spot for domestic and foreign experts and scholars. Today, artificial intelligence has been applied in many fields such as military, life, and work. This paper first introduces the basic concepts and theories of AIT, expands the swarm intelligence algorithm based on artificial intelligence (AI), then explores the swarm core algorithm intelligence algorithm, and discusses the problems existing in the current university teaching quality (TQ) evaluation system in my country. The application of AI group algorithm in TQ evaluation in colleges and universities. (C A U) The experiment shows that compared with the traditional T Q evaluation, the AI-based swarm intelligence algorithm is better in the C A U T Q evaluation system, which has played a positive role in promoting the C A U education evaluation system in my country.
- 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 - Peilei Ye PY - 2022 DA - 2022/12/27 TI - Design Swarm Intelligence Algorithm Based on Artificial Intelligence in Teaching Quality Evaluation Reform System in Colleges BT - Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022) PB - Atlantis Press SP - 986 EP - 991 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-058-9_154 DO - 10.2991/978-94-6463-058-9_154 ID - Ye2022 ER -