Research Article
Approaches of Higher Vocational Education Method Based on Machine Vision Technology
@INPROCEEDINGS{10.4108/eai.26-5-2023.2337269, author={Shanguo Zhao and Guangmei Hai and Xiaoqing Wu and Xiaoyan Qian}, title={Approaches of Higher Vocational Education Method Based on Machine Vision Technology}, proceedings={Proceedings of the 4th International Conference on Education, Knowledge and Information Management, ICEKIM 2023, May 26--28, 2023, Nanjing, China}, publisher={EAI}, proceedings_a={ICEKIM}, year={2023}, month={9}, keywords={machine vision; vocational education; design; neural networks; teaching assistance}, doi={10.4108/eai.26-5-2023.2337269} }- Shanguo Zhao
Guangmei Hai
Xiaoqing Wu
Xiaoyan Qian
Year: 2023
Approaches of Higher Vocational Education Method Based on Machine Vision Technology
ICEKIM
EAI
DOI: 10.4108/eai.26-5-2023.2337269
Abstract
With the continuous development and improvement of vocational education, more and more higher vocational education institutions are beginning to explore the integration of machine vision technology into teaching. The goal is to improve the effectiveness and quality of teaching, including intelligent education systems, human-computer interaction, and course assistance. By analyzing the impact of machine vision technology on instructional design and evaluation, a teaching method based on machine vision and intelligent learning has been designed. This method can detect student conditions in the classroom and provide evaluation opinions and teaching suggestions based on big data experience and artificial intelligence algorithms, thus achieving intelligent assisted teaching. Finally, the important significance and development trends of machine vision technology in higher vocational education are summarized.
