An Empirical Study on IPO Model Construction of Undergraduate Education Quality Evaluation in China from the Statistical Pattern Recognition Approach In NLP

Author:

Chen Zhaojun1ORCID,Bao Yanhai2ORCID,Zhu Tongxun2ORCID

Affiliation:

1. College of Humanities, Yantai Nanshan University and Institute of Education, Xiamen University, Xiamen City, Fujian, China

2. College of Humanities, Yantai Nanshan University, Yantai City, Shandong, China

Abstract

Based on the analysis of 1,497 samples from the survey of national undergraduate educational administrators, the IPO model of undergraduate education quality evaluation from the perspective of managers can be effectively verified. The quality of higher education needs the accountability of higher education and evaluation of student learning outcomes. The empirical studies show the effects on the various dimensions of quality provisions which were not the same. The main findings are that the input of undergraduate education and teaching can not only directly and positively predict the output of undergraduate education and teaching, but also can positively predict the output of undergraduate education and teaching through the partial mediating effect of the process of undergraduate education and teaching. The research suggests that under the given material conditions, it is essential to enhance the “soft input” of undergraduate education and teaching, to strengthen the process construction of undergraduate education and teaching, to enhance the process quality control in the implementation of humanistic care, to pay attention to the development effect of teachers and students and the development effect of school-running characteristics, and to promote the connotative development of colleges and universities. The study provides a practical framework, model, and guidelines that can be used for undergraduate education institutions to evaluate and enhance the performance to effectively work in society. The quality evaluation of undergraduate education needs to focus from the quality of students' learning outcomes to the comprehensive consideration of “input-process-outcome”.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

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