Teaching Application and Evaluation of Ideological and Political Courses Based on Multisource Data Fusion

Domestic education and scientific nature of realization automatic evaluation have become issues of concern. The integration of information technology in the teaching field of ideological and political theory courses in colleges and universities (hereinafter referred to as “ideological and political courses”) inevitably has an important impact on the teaching of traditional ideological and political courses. ASP.NET is the main interface technology of .NET. .NET is an environment that can provide support for building development and execution in multiple languages, and realizes the functions of language development, code compilation, building configuration, program operation, and object interaction. The system development tool is ASP.NET (Visual Studio 2013), the background database development tool is Microsoft SQL Server 2008, and the system development environment is Windows 7 ×64. The core of the system is multisource data fusion. Firstly, the data are preprocessed to extract useful information data to form data object fusion. Then, convert the code table into a transaction library. In view of the large amount of data to be mined and easily affect mining quality, the improved Apriori-P algorithm based on partitioning in association with rule technology is applied. This algorithm is used to generate frequent itemsets. According to the given minimum confidence, a data fusion rule is generated. Then, the fusion result is generated from the corresponding data report. Before data fusion, system administrators should select data sources from historical databases or existing evaluation databases. When querying rules, different users can log in to the system to query their own data content, students can query the teacher’s evaluation results, teachers can query their own evaluation results, and school administrators can view the data fusion results. After evaluating teachers through the campus network, all evaluation data can be integrated and analyzed, and the system automatically generates analysis results corresponding to users. The stability of the teaching evaluation system is better, and the system performance can reach 89% at 5,000 person-hours. The degree of integration between the form of informatization teaching and the teaching content of ideological and political courses, and the information literacy of teachers of ideological and political courses in colleges and universities need to be further improved. This research helps in scientific education.