Performance Evaluation for College Curriculum Teaching Reform Using Artificial Neural Network

被引:1
|
作者
Li, Jia [1 ]
Zhi, Siyang [2 ]
机构
[1] UCSI Univ, UCSI Grad Business Sch, Taman Connaught, Malaysia
[2] Digital Media Co Ltd, China Publishing Grp, Beijing, Peoples R China
来源
关键词
Artificial neural network; College curriculum; Reform in education; Performance evaluation;
D O I
10.1007/978-981-19-5209-8_25
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
To address the problems of poor performance evaluation and performance management of college curriculum reform, the performance evaluation method of college curriculum reform using artificial neural networks is proposed. First, the performance evaluation index system of college curriculum reform using artificial neural network technology is constructed. Second, the performance evaluation algorithm of college curriculum reform is improved, and the performance evaluation process of college curriculum reform is simplified. The experiment proves that the performance evaluation method of college curriculum reform using artificial neural networks has higher practicality than the traditional method and fully meets the research requirements.
引用
收藏
页码:376 / 393
页数:18
相关论文
共 50 条
  • [1] Quality Evaluation Methods of College English Teaching Reform Based on Artificial Neural Network
    Yang, Ning
    [J]. JOURNAL OF ELECTRICAL SYSTEMS, 2024, 20 (02) : 1941 - 1954
  • [2] College English Teaching Evaluation with Neural Network
    Sun, Li
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2022, 2022
  • [3] College English Teaching Evaluation with Neural Network
    Sun, Li
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2022, 2022
  • [4] Study on the performance evaluation of online teaching using the quantile regression analysis and artificial neural network
    Wen-Tsao Pan
    Chiung-En Huang
    Chiung-Lin Chiu
    [J]. The Journal of Supercomputing, 2016, 72 : 789 - 803
  • [5] Study on the performance evaluation of online teaching using the quantile regression analysis and artificial neural network
    Pan, Wen-Tsao
    Huang, Chiung-En
    Chiu, Chiung-Lin
    [J]. JOURNAL OF SUPERCOMPUTING, 2016, 72 (03): : 789 - 803
  • [6] Teaching Reform on Computer Network Curriculum under College-Enterprise Cooperation
    Min, Shi
    [J]. 2011 SECOND INTERNATIONAL CONFERENCE ON EDUCATION AND SPORTS EDUCATION (ESE 2011), VOL II, 2011, : 422 - 424
  • [7] Evaluating College English Teachers' Teaching by Artificial Neural Network
    Dong Gui Jun
    [J]. 2012 INTERNATIONAL CONFERENCE ON CONTROL ENGINEERING AND COMMUNICATION TECHNOLOGY (ICCECT 2012), 2012, : 1017 - 1021
  • [8] Discussion on Teaching and Reform of Junior College English Curriculum
    Liang, Chunlin
    [J]. 2014 2ND INTERNATIONAL CONFERENCE ON ECONOMIC, BUSINESS MANAGEMENT AND EDUCATION INNOVATION (EBMEI 2014), VOL 36, 2014, 36 : 256 - 261
  • [9] Hamming Code Performance Evaluation using Artificial Neural Network Decoder
    Vaz, Aldrin Claytus
    Nayak, C. Gurudas
    Nayak, Dayananda
    [J]. 2019 15TH INTERNATIONAL CONFERENCE ON ENGINEERING OF MODERN ELECTRIC SYSTEMS (EMES), 2019, : 37 - 40
  • [10] Performance evaluation of air ejectors using artificial neural network approach
    Gupta, Pradeep
    Rao, Srisha M., V
    Kumar, Pramod
    [J]. SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES, 2023, 48 (02):