On the Path of AIGC Empowering Deep Learning of Moral and Rule of Law Course in Junior Middle School

Abstract

Under the background of core literacy-oriented education reform, generative artificial intelligence provides a new solution to break through the bottleneck of classroom teaching of morality and rule of law in junior high school. Based on the consistency of "teaching-learning-evaluation" as the theoretical framework, combined with specific teaching cases, this paper systematically explains the practical path of AIGC in five dimensions: empowering classroom situation creation, driving task inquiry, stimulating interactive debate, expanding generation expression and constructing knowledge map. The application of AIGC reshapes the new teaching mode of "teacher-student-machine" interaction, which significantly improves the attraction, thinking depth and educational effect of the classroom. At the same time, this paper also dialectically considers the problems that may occur in the process of technology application, such as value orientation, technology dependence and humanistic care, and puts forward that teachers should uphold the right path and innovate in "positive acceptance" and "rational examination" to ensure that AIGC can effectively serve students' value cognition, thinking development and personality improvement.

Keywords

• AIGC
• Morality and rule of law
• Deep learning
• Teaching path

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