Abstract
Abstract The advancement of information technology in the digital era has raised the standards for the content and methods of civic and political education in colleges and universities. This paper utilizes knowledge mapping technology as its foundation, integrates resources from civic and political education in colleges and universities, and builds a knowledge mapping system for civic and political courses. This system enables the digital and intelligent development of civic and political education in these institutions. The entities of Civics and Political Science courses are obtained through the Hidden Markov Model and BiLSTM-CRF model; semi-structured and unstructured data are crawled from web pages to constitute the entity relations of the Civics and Political Science domain, and the knowledge of Civics and Political Science courses is fused by using the double-layer filtering method. In addition, this paper constructs a Civics knowledge mapping system, which includes data modules and application modules, to visualize the complexity of the Civics knowledge system. This system is then applied to the practice of Civics teaching in colleges and universities. Based on the empirical analysis of the TAM model, it is concluded that the mean value of five potential variables (PEU, PUA, TU, BI, and SU) of the Civic Political Knowledge Mapping System constructed in this paper is high, and the acceptance of the system by students is long. The implementation of this paper’s system in actual teaching can significantly improve the overall civics learning objectives of the class.
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