Development and Practice of an AI‐Enabled Smart Teaching Model in Basic Mechanics Education

ABSTRACT To address the prominent challenges in traditional Basic Mechanics teaching, including the disconnection between theoretical instruction and practical application, delayed feedback on students' learning progress, and insufficient personalized support, this study constructs an AI‐enabled smart teaching model based on the Chaoxing Fanya Platform. The model is characterized by “AI empowerment, conceptual innovation, methodological optimization, platform support, and curriculum implementation.” Grounded in the core educational philosophy of “technology integration, literacy orientation, and precision teaching,” this study designs innovative teaching strategies such as “AI + flipped classroom” and “virtual simulation + data‐driven instruction,” and upgrades the functional modules of the smart teaching platform. A modular and interactive smart curriculum system for Basic Mechanics is established to support the implementation of these strategies. Teaching practice verification shows that: (1) The average score of the experimental group was 6.7 points higher than that of the control group, with the pass rate and excellent rate increased by 8.5 and 12.1 percentage points, respectively; (2) The experimental group outperformed the control group in all competency dimensions, especially in practical operation ability and innovative awareness; and (3) Regarding learning satisfaction, the satisfaction rate of students in the experimental group reached as high as 92.8%, 14.5 percentage points higher than the 78.3% in the control group. This mode effectively improves students' mechanical thinking, practical ability and innovative awareness, and provides a replicable practical path for the intelligent reform of basic engineering courses.