AI-enabled The Reform of Teacher Management and Evaluation
DOI:
https://doi.org/10.6918/IJOSSER.202501_8(1).0011Keywords:
Teacher management and evaluation,Construction of teachers, Artificial intelligence, Teacher evaluation reform.Abstract
Under the background of current education reform, teacher evaluation, as a key link to motivate teachers' enthusiasm and improve the quality of education, has important practical significance. Artificial intelligence (AI) technology plays an important role in improving the fairness and accuracy of the evaluation process and also achieves real-time monitoring and dynamic feedback of the evaluation through big data analysis and intelligent algorithms. In addition, artificial intelligence provides more scientific support for the personalized development of teachers, so that teachers can obtain more targeted growth plans according to individual differences, and promote professional and modern developments. Through AI technology, teacher evaluation is no longer limited to static evaluation, but to process evaluation, value-added evaluation comprehensive evaluation, and other multi-dimensional expansion, which promotes the reform of the teacher management model, and enhances the scientific and objective evaluation. Therefore, this paper will focus on the new requirements for teacher evaluation and management in the current age of AI, and deeply explore the practical path of AI-enabled teacher management and evaluation reform.
Downloads
References
[1] Central Government of the People's Republic of China. Opinions of the CPC Central Committee and The State Council on Comprehensively Deepening the Reform of the Construction of Teachers in the New Era.
Information on: http://www.gov.cn/zhengce/2018-01/31/content_5262659.htm.
[2] Ministry of Education of the People's Republic of China. The guiding opinions of the Ministry of Education on deepening the reform of the evaluation system for college teachers.
Information on: http://www.moe.gov.cn/srcsite/A10/s7151/201609/t20160920_281586.html.
[3] Peng Jing, WU Nan-zhong. Artificial Intelligence Empowering lntegrated Development of Teachers: Logical Framework and Pathways [J].Modern education technology,2024,34(10):23-31.
[4] Central Government of the People's Republic of China. CPC Central Committee Issues Opinions on Deepening the Reform of the System and Mechanism for Talent Development.
Information on: http://www.gov.cn/zhengce/2016-03/21/content_5056113.htm.
[5] ZeweiZhang.Difficulties and Reform Suggestions of University Teachers’ Evaluation—From the Perspective of Humanistic Management Theory[J]. Shanghai Journal of Educational Evaluation, 2022, 11(1): 36-40.
[6] LijiangLv , Wu Jian. Analysis on the Reform of Faculty Evaluation System in Universities’ Construction in the New Era[J]. Zhejiang social sciences, 2021(7): 144-149.
[7] Wang, Wei and Wang, Guangming and Ding, Xiaoming and Zhang, Baoju. Artificial Intelligence in Education and Teaching Assessment[M],2021, Springer.
[8] MengxingLiu, HongxiaZhang. Problems, trends and reform strategies of scientific research evaluation in colleges and universities[J]. Journal of Higher Education Management, 2021, 15(1): 117-124.
[9] Wang Bin, Chen Jiang. Research on the reform of college teachers' evaluation mechanism under the background of breaking the "Five Only"[J].Accounting newsletter, 2023(19): 171-176.
[10] The CPC Central Committee and The State Council. Overall plan for deepening the reform of educational evaluation in the new era.
Information on: https://www.gov.cn/zhengce/2020-10/13/content_5551032.htm
[11] ZhizhenZhang, WenxinOi. Information technology in educational Challenges assessment: empowerment, and solutions [J]. Distance education in China, 2021(3): 1-12.
[12] Congratulatory letter to International Conference on Artificial Intelligence and Education. Information on: https://www.gov.cn/xinwen/2019-05/16/content_5392134.htm.
[13] Sperling K, Stenberg C J, McGrath C, et al. In search of artificial intelligence (AI) literacy in Teacher Education: A scoping review[J]. Computers and Education Open, 2024: 100169.
[14] Alper A. Evaluating the evaluators: A comparative study of AI and teacher assessments in Higher Education[J]. Digital Education Review, 2024 (45): 124-140.
[15] Chen Liang, Evaluation of High-quality Teacher Education: Connotation Characteristics, Logical Structure and Promotion Strategies[J]. Journal of Shaanxi Normal University ( Philosophy and Social Sciences Edition) ,2022(6): 25-35.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 International Journal of Social Science and Education Research
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
How to Cite
