Research on the Realization Mechanism and Evaluation System of High-Quality Undergraduate Education in Private Universities Based on Deep Learning

被引:0
|
作者
Guo X. [1 ]
Jiang Y. [1 ]
Jiang H. [1 ]
机构
[1] Dongguan City University, Guangdong, Dongguan
关键词
Assessment system; Deep learning; High-quality undergraduate education; Private universities; Realization mechanism;
D O I
10.2478/amns.2023.1.00477
中图分类号
学科分类号
摘要
Due to the new development stage, it is especially important to improve the education quality of private undergraduate universities. As a result, it is a new hot issue for the construction of mechanisms and assessment systems for the quality improvement of private undergraduate education. In this paper, after analyzing and researching the quality of undergraduate education in present-day universities, the mechanism of deep learning is applied to the establishment of the assessment system. Finally, 1082 samples collected from the data center platform of a private university are analyzed as the research object. From the results, the final size of the combined weights of the seven evaluation items constituting the assessment system differed little. They were 12.81%, 15.78%, 15.28%, 14.38%, 12.83%, 12.81%, 15.01%, and 13.27%, respectively. In the comparison of this paper's method with FAHP+TOPSIS combined evaluation, euclidean map method, and genetic algorithm assignment, the difference between the seven weight values of the Euclidean map method is larger, 5.56%. The evaluation times of the four methods were 41 s, 38 s, 47 s, and 118 s. Compared with the other three methods, the genetic algorithm assignment took the most time. © 2023 Xiaomei Guo et al.;published by Sciendo.
引用
收藏
相关论文
共 50 条
  • [41] DRIIS: Research on Image Classification of Art Education System Based on Deep Learning
    Yi, Xiaofen
    INTERNATIONAL JOURNAL OF COOPERATIVE INFORMATION SYSTEMS, 2022, 31 (1-2)
  • [42] Motion capture and evaluation system of football special teaching in colleges and universities based on deep learning
    Yin, Xiaohui
    Vignesh, C. Chandru
    Vadivel, Thanjai
    INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT, 2022, 13 (06) : 3092 - 3107
  • [43] Motion capture and evaluation system of football special teaching in colleges and universities based on deep learning
    Xiaohui Yin
    C. Chandru Vignesh
    Thanjai Vadivel
    International Journal of System Assurance Engineering and Management, 2022, 13 : 3092 - 3107
  • [44] DMSS: An Attention-Based Deep Learning Model for High-Quality Mass Spectrometry Prediction
    Ren, Yihui
    Wang, Yu
    Han, Wenkai
    Huang, Yikang
    Hou, Xiaoyang
    Zhang, Chunming
    Bu, Dongbo
    Gao, Xin
    Sun, Shiwei
    BIG DATA MINING AND ANALYTICS, 2024, 7 (03): : 577 - 589
  • [45] Identifying High-Quality Technology Patents Based on Deep Learning and Multi-Category Polling Mechanism——Case Study of Patent Applications
    Zhao X.
    Wu D.
    Wu W.
    Sun Z.
    Hu J.
    Lian Y.
    Shan J.
    Data Analysis and Knowledge Discovery, 2023, 7 (08) : 30 - 45
  • [46] Research on the construction of high-quality personnel training system and mental health in colleges and universities under the background of core literacy
    Nie, Huili
    INTERNATIONAL JOURNAL OF MENTAL HEALTH NURSING, 2024, 33 : 52 - 53
  • [47] Research on Evaluation Method of Physical Education Teaching Quality in Colleges and Universities Based on Decision Tree Algorithm
    Li, Weicai
    MOBILE INFORMATION SYSTEMS, 2022, 2022
  • [48] HQ2CL: A High-Quality Class Center Learning System for Deep Face Recognition
    Lv, Xianwei
    Yu, Chen
    Jin, Hai
    Liu, Kai
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 31 : 5359 - 5370
  • [49] Research on high-quality projecting reduction lithography system based on digital mask technique
    Gao, YQ
    Shen, TZ
    Chen, JS
    Luo, NN
    Qi, XM
    Jin, Q
    OPTIK, 2005, 116 (07): : 303 - 310
  • [50] Design of English pronunciation quality evaluation system based on the deep learning model
    Zhang F.
    Zhou Z.
    Applied Mathematics and Nonlinear Sciences, 2023, 8 (02) : 2805 - 2816