An Analysis of Grid-Based Digitized and Intelligent Teaching System for Vocational Education Resources in Minority Regions
- DOI
- 10.2991/978-94-6463-192-0_119How to use a DOI?
- Keywords
- Minority regions; vocational education resources; grid-based mode and teaching system
- Abstract
Restricted by many factor, it is difficult for minority regions to acquire the quality and abundant educational resources equivalent to what economically developed regions can have. This has significantly hindered the development of vocational education in minority regions. A digitized and intelligent teaching system was established. The system adopts a multi-layer architecture, and comprises the interaction layer, the content layer, the service layer and the data layer. It covers two sub-systems, namely the curriculum resources and the teaching resources, and opens up diversified teaching channels for the vocational education in minority regions. Through systematic simulation and test, the learning situations, the teaching results and the attention rates were compared and contrasted between the traditional teaching model and the digitized and intelligent teaching system for vocational education resources in minority regions, so as to analyze the rationality and necessity of the design on this teaching system.
- 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 - Jia Qiu PY - 2023 DA - 2023/07/04 TI - An Analysis of Grid-Based Digitized and Intelligent Teaching System for Vocational Education Resources in Minority Regions BT - Proceedings of the 2023 2nd International Conference on Educational Innovation and Multimedia Technology (EIMT 2023) PB - Atlantis Press SP - 908 EP - 915 SN - 2667-128X UR - https://doi.org/10.2991/978-94-6463-192-0_119 DO - 10.2991/978-94-6463-192-0_119 ID - Qiu2023 ER -