Research on evaluation system of ideological and political education of college students based on decision system

Abstract

Nowadays, the ideological and political (IAP) training of the college and university students is of a great interest for everyone due to the rapid change in the political issues and the race of super power. By analyzing the present states and research on the system of evaluating the IAP training of college students, it is obvious that the current evaluation systems are not satisfactory and have different deficiencies such as openness, transparency, and lack of supervision. The existing systems are pretty straightforward, and the assessment process is not open enough. The evaluation systems are not solid, and there are still many challenges for the evaluation system of IAP training of college students. Students can only accomplish a comparably fair and scientific assessment result by building an efficient and innovative decision-making system with the help of analyzing the evaluation system of the IAP education of the students. This allows the students to get to know each other more closely and better promote their overall growth. In this research work, we examined the present assessment systems of IAP education and presented a paper in order to emphasize its shortcomings and flaws such as openness, transparency, the lack of a distinct evaluation system, and supervision. Further, we examined the values of big data analytics in assessing college students’ IAP education and present a new evaluation method based on big data analytics. The new approach assures the results transparency and openness, and hence, the evaluation system is assessed more accurately. Based on the experimental and evaluation results, it is recommended that the college teachers should understand the value of big data, and a separate platform needs to be developed through which different institutions may exchange data about the assessment system.