Research Article
Innovation and Management Suggestions for Generation Z Education: Semantic Network Analysis Based on Students' Feedback
@INPROCEEDINGS{10.4108/eai.24-11-2023.2343695, author={Ruo Yang and Xueqian Song and Yu Zhang}, title={Innovation and Management Suggestions for Generation Z Education: Semantic Network Analysis Based on Students' Feedback}, proceedings={Proceedings of the 3rd International Conference on Internet Technology and Educational Informatization, ITEI 2023, November 24--26, 2023, Zhengzhou, China}, publisher={EAI}, proceedings_a={ITEI}, year={2024}, month={4}, keywords={generation z education students’ feedback semantic network analysis}, doi={10.4108/eai.24-11-2023.2343695} }- Ruo Yang
Xueqian Song
Yu Zhang
Year: 2024
Innovation and Management Suggestions for Generation Z Education: Semantic Network Analysis Based on Students' Feedback
ITEI
EAI
DOI: 10.4108/eai.24-11-2023.2343695
Abstract
In recent years, educators pay more and more attention to students' feedback. Based on students' feedback to the course, semantic network analysis was used in this study to explore the innovation and management suggestions of Generation Z education. The results show that Generation Z students in the sample pay much attention to the process of learning knowledge rather than specific knowledge points; At the same time, they also attach importance to the use of knowledge and the teacher's fair evaluation of student performance. The results of this study will be helpful for educators to further try to optimize educational measures in order to pursue the improvement of teaching effectiveness.
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