Research Article
Research on Teacher Evaluation Based on Artificial Intelligence and Big Data
@INPROCEEDINGS{10.4108/eai.8-9-2023.2340179, author={Hongbin Gu and Feng Jin and Kongpeng Wei}, title={Research on Teacher Evaluation Based on Artificial Intelligence and Big Data }, proceedings={Proceedings of the 4th International Conference on Modern Education and Information Management, ICMEIM 2023, September 8--10, 2023, Wuhan, China}, publisher={EAI}, proceedings_a={ICMEIM}, year={2023}, month={11}, keywords={artificial intelligence big data teacher evaluation}, doi={10.4108/eai.8-9-2023.2340179} }- Hongbin Gu
Feng Jin
Kongpeng Wei
Year: 2023
Research on Teacher Evaluation Based on Artificial Intelligence and Big Data
ICMEIM
EAI
DOI: 10.4108/eai.8-9-2023.2340179
Abstract
Big data focuses on multi-dimensional, in-depth mining and scientific analysis of a large amount of data, discovering the hidden relationship and value behind the data, which helps the evaluation of teaching quality shift from speculation based on small-sample data or fragmented information to evidence-based decision-making based on a full range of full-scale data. The use of artificial intelligence technology to analyze the evaluation results helps to improve the credibility and validity of teacher evaluation and reduce the tension and conflict in the evaluation process. In this paper, based on the characteristics of vocational education, based on artificial intelligence and big data technology, we analyze the data of each relevant factor of vocational education teacher evaluation and put forward relevant suggestions.
