Exploration of a Mixed International Education Approach for Comprehensive Assessment of Chinese and International Students

DOI

10.2991/978-94-6463-192-0_107How to use a DOI?

Keywords

Course evaluation; Comprehensive evaluation; Neural network; Skill development

Abstract

With the deepening of international cooperation and exchange in Chinese education, more and more international students come to universities for exchange and study. In this paper, based on the education of international students in the international experimental classes of our department, we explore the establishment of comprehensive evaluation and assessment indexes for the courses of these international experimental classes according to the evaluation objects, evaluation subjects, evaluation contents and evaluation methods, and form a comprehensive evaluation method of Chinese and foreign mixed international education courses based on neural network, which changes the previous traditional evaluation method. This method changes the traditional evaluation method and flexibly combines multiple evaluation methods to avoid the bias of students’ performance caused by a single evaluation method, and to evaluate students’ mastery of the course in a comprehensive way.

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.

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TY  - CONF
AU  - Xinwen Gao
PY  - 2023
DA  - 2023/07/04
TI  - Exploration of a Mixed International Education Approach for Comprehensive Assessment of Chinese and International Students
BT  - Proceedings of the 2023 2nd International Conference on Educational Innovation and Multimedia Technology (EIMT 2023)
PB  - Atlantis Press
SP  - 828
EP  - 834
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-192-0_107
DO  - 10.2991/978-94-6463-192-0_107
ID  - Gao2023
ER  -