On How Artificial Intelligence Can Help Personalise the Development of Teaching Methods for the Fundamental Principles of Marxism
Year: 2025
Type: conference-paper
Abstract: This paper discusses the current state and potential of the application of AI technology in teaching the fundamentals of Marxism. First, it analyses the current state of development of AI technology and its application scenarios in the field of education, especially for the teaching of social sciences. It then discusses the challenges and opportunities for teaching the basic principles of Marxism, highlighting the problems of traditional teaching methods and the changes that AI technology may bring. Further, the article delves into the analysis and identification of personalised learning needs, discusses the impact of individual student variability on teaching effectiveness, and introduces the design method of personalised learning paths based on big data. Regarding the construction of an intelligent course system for Basic Principles of Marxism, the article proposes a strategy of content adaptation and form diversification, which aims to adapt the content of teaching materials through algorithms and use multimedia means to enhance the interactive experience. It also discusses the optimisation of the evaluation and feedback mechanism, including the development of an intelligent evaluation system and the implementation of continuous improvement strategies. Finally, it looks forward to how AI technology can further promote innovation in Marxist education in the future.
Authors: Zexi Zhou, Shuying Zhao, Jiahuan Li, Shujian Tang
Institution: Guangdong University of Science and Technology
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: gold
OpenAlex ID: W4412923724