Analysis of Classroom Behavior in Vocational Education with Human-Computer Collaboration
- DOI
- 10.2991/978-94-6463-040-4_158How to use a DOI?
- Keywords
- Human-machine collaboration; vocational education; practical teaching; action research method
- Abstract
With the development of Chinese education informatization, the human-computer collaborative education model has been deeply developed and widely applied. The application of human-computer collaborative education model in vocational education has shown positive changes in learning atmosphere, students' status, concentration timing, interaction frequency, professional interest and career design. This paper is a collaborative pedagogical experimental study of teaching practices and analysis of data on student performance. We used the Kurt Lewin action research method and regression analysis for the pedagogical study. We construct a model of human-machine co-teaching which will have a positive impact on vocational students' learning. We measure the synergistic model suitable for vocational education reform based on student learning data. Combining the characteristics of vocational students and multiple online teaching data, we draw out a synergy criterion suitable for vocational student development and provide a basis for effective vocational education reform.
- Copyright
- © 2023 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.
Cite this article
TY - CONF AU - Dongjie Xiao AU - Ran Ma PY - 2022 DA - 2022/12/27 TI - Analysis of Classroom Behavior in Vocational Education with Human-Computer Collaboration BT - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022) PB - Atlantis Press SP - 1049 EP - 1055 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-040-4_158 DO - 10.2991/978-94-6463-040-4_158 ID - Xiao2022 ER -