Exploration of integrating biomechanical perspective into ideological education management strategy
Abstract
This paper introduced biomechanical theory into ideological education management, analyzed the impact of educational intervention and optimized intervention strategy by establishing a dynamic prediction model of ideological behavior, aiming to improve educational effect, reduce resource investment, and realize personalized and precise ideological education management. It constructed a dynamic prediction model of thought behavior based on LSTM (Long Short-Term Memory), and used the core concepts of biomechanics to analogize key variables in ideological education management. Thought tendencies can be analogized to state variables, educational interventions can be regarded as external forces, and thought inertia can be corresponded to the internal resistance of thought transformation, thereby revealing the law of change of thought state and providing quantitative basis. In terms of model optimization, GA (Genetic Algorithm) is used to optimize the educational intervention strategy, and the fitness function is used to comprehensively evaluate the degree of ideological transformation and resource costs to achieve a multi-objective balance. The experimental results show that the proposed strategy shows high accuracy in the prediction of ideological tendency scores, with an average RMSE (Root Mean Square Error) of 0.12 and an average MAE (Mean Absolute Error) of 0.08. It is superior to traditional strategies in improving class participation rate, learning management system login frequency, and reducing educational intervention costs. The ideological education management strategy based on the biomechanical perspective can provide accurate predictions of ideological states and achieve efficient use of educational resources by optimizing intervention design, which verifies the theoretical innovation and practical application value of this method.
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