Research on Quality Evaluation of Vocational Education Based on Big Data Technology

DOI

10.2991/978-94-6463-238-5_24How to use a DOI?

Keywords

Education Evaluation; Vocational Education; Big Data Technology

Abstract

The evaluation of pedagogical quality is the key to continuous improvement of the quality assurance system at school. Based on big data technology, the connotation, and characteristics of current pedagogical evaluation are analyzed in this paper, focusing on the management and measurement of daily teaching. From the perspectives of the organizational, institutional, and monitoring systems, a pedagogical quality evaluation system underpinned by process-oriented evaluation forms, distinctive evaluation criteria, diversified evaluation subjects, and modern evaluation methods is built up. In this paper, the challenges facing pedagogical evaluation in the big data era are summarized and corresponding countermeasures are proposed as well.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yang Zhang
PY  - 2023
DA  - 2023/09/26
TI  - Research on Quality Evaluation of Vocational Education Based on Big Data Technology
BT  - Proceedings of the 2023 4th International Conference on Big Data and Informatization Education (ICBDIE 2023)
PB  - Atlantis Press
SP  - 176
EP  - 182
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-238-5_24
DO  - 10.2991/978-94-6463-238-5_24
ID  - Zhang2023
ER  -