The Curriculum Knowledge Analysis of Marxist Philosophy and System Theory Based on Association Rules

Abstract

Systems theory and Marxist philosophy are inextricably linked. Systems theory and Marxist philosophy are both methodologies in a sense and share the perspective of movement and development. The system theory is also embodied in the Marxist philosophy’s conceptions of nature, social history, and epistemology. Studying the system theory in Marxist philosophy will undoubtedly benefit from having a solid understanding of the connection between system theory and that philosophy. It has become crucial to enhance the quality of instruction by analyzing student learning data and providing constructive criticism for teaching methods. The students’ learning data from the course teaching Marxist philosophy and systems theory were mined and analyzed based on the Apriori algorithm, and strong association rules between the course teaching contents were generated. We can determine the challenging teaching material that has an impact on students’ performance through the analysis of these generation rules, enabling teachers to use this feedback information to enhance their pedagogical approaches.