location:Home > 2025 Vol.8 Feb.N01 > Reform of the Job Evaluation and Appointment Model for University Teachers in the Era of Big Data

2025 Vol.8 Feb.N01

  • Title: Reform of the Job Evaluation and Appointment Model for University Teachers in the Era of Big Data
  • Name: A-fang LI
  • Company: Shandong Vocational College of Information Technology, weifang 261061, China
  • Abstract:

     With the advent of the big data era, the job evaluation and appointment model for university teachers is facing an opportunity for reform. This study first elaborates on the connotation and constituent elements of job evaluation and appointment for university teachers, and analyzes the problems of single evaluation criteria, strong subjectivity, and opaque information in the traditional evaluation and appointment model. Next, we will explore the advantages of applying big data in the reform of the job evaluation and appointment model for university teachers, including comprehensiveness, objectivity, and dynamism. On this basis, specific strategies for reforming the evaluation and appointment model of university teachers in the era of big data are proposed, providing reference for universities to build a more scientific, fair, and effective teacher evaluation and appointment model.


  • Keyword: The era of big data; Universities; Teacher position; Evaluation and appointment model;
  • DOI: 10.12250/jpciams2025090207
  • Citation form: A-fang LI.Reform of the Job Evaluation and Appointment Model for University Teachers in the Era of Big Data[J]. Computer Informatization and Mechanical System,2025,Vol.8,pp.
Reference:

[1]Tian Z, Xin C.Teacher data generation method, trained model generation method, position estimation method and position estimation system:JP20200190424[P].JP2022079310A[2024-11-25].

[2] Richards J C .Teacher, Learner and Student-Teacher Identity in TESOL:[J].RELC Journal, 2023, 54(1):252-266.

[3]WANG Sy, ZHANG S. University Faculty Personnel Field Under Multi⁃Institutional Logics:Evolution and Reform[J]. Journal of Hebei Normal University(Educational Science),2022,24(2):96-103.


Tsuruta Institute of Medical Information Technology
Address:[502,5-47-6], Tsuyama, Tsukuba, Saitama, Japan TEL:008148-28809 fax:008148-28808 Japan,Email:jpciams@hotmail.com,2019-09-16