Research On The Assessment Of Ideological And Political Theory Courses In Universities Under The Background Of Big Data Era

In recent years,the construction of Ideological and political theory courses in universities has focused on the innovation of the courses,giving full play to their main channels and positions of moral cultivation.As one of the teaching links of the courses,the scientific and innovative process of assessment is a breakthrough to improve the effectiveness of the courses in universities.Under the historical background of the new era,the new social environment features such as information construction,artificial intelligence,big data and other technological development provide thinking and technical support for innovation.To explore whether and how big data can help the assessment is an important topic to optimize the assessment of Ideological and political courses in the era of big data.This study adopts the methods of literature research,practice research and system analysisusing literature research.Based on the correlation between the era of big data and assessment of Ideological and political courses in universities,demonstrates the feasibility of the combination of theory and practice in the process of the present situation,the value and problems,and puts forward the systematic course examination scheme,to optimize the assessment process under the background of big data.The particularity of Ideological and political courses in universities endows them with new characteristics of assessment,and the technological and thinking changes in the era of big data endow them with new ideas of assessment.With the support of the principles of Ideological and political education,advanced course assessment theory,learning analysis theory and feedback theory,based on the feasibility of the combination of big data and the assessment of the courses in universities,this study starts from the feasibility of combining big data with the assessment of the courses,and divides the existing problem from the perspective of big data into two levels.The first level of the problem is to maintain the original assessment ideas but there are problem caused by low assessment efficiency.The second level of the problem is that there are problem in the assessment thinking and methods that affect the performanceof the assessment function.After making clear the feasibility of the combination,this paper analyzes the current situation of the assessment the courses in the era of big data: the assessment services provided by MOOC,related mobile platforms,and intelligent platforms are the performance of the combination of big data and assessment.Although these attempts have a positive effect on assessment of the courses,there are problems such as Systematic construction,the protection of ethical privacy and the excessive dependence on tools.It needs further reflection.On the basis of the existing demonstration,the principles of data sharing,fairness and openness,and people-orientation are observed to provide principled guidance for solving the problems existing in the assessment of ideological and political courses in universities under the background of big data.Based on big data thinking and support of big data technologyg;taking pre-class,on-class and after-class as the longitudinal process of the course,the assessment contents and objectives of understanding differences before class,real-time interaction in class and paying attention to feedback after class are emphasized;taking data collection,data processing and data feedback as the horizontal processing steps,a set of systematic assessment scheme integrating examination,data analysis and evaluation feedback is designed.It fully reflects the process assessment idea with the examinee as the center,data analysis as the thinking and feedback as the focus,and plays an active role in the assessment of Ideological and political courses in universities in the era of big data.