Construction and Empirical Study of a Lifelong Learning Evaluation Mechanism Model Integrating Multiple Intelligence Algorithms

In view of the problems of single evaluation dimension and neglect of individual differences of students in the traditional lifelong learning evaluation mechanism, this paper explores the lifelong learning evaluation mechanism integrating multiple intelligence algorithms to comprehensively and accurately reflect the development level of students’ multiple intelligences and improve the scientificity and personalization of educational evaluation. First, based on the theory of multiple intelligences, this paper constructs an evaluation mechanism model integrating multiple intelligences and clarifies the theoretical basis. Then, a multiple intelligence algorithm is designed, which can comprehensively consider the performance of students in different intelligence fields and conduct intelligent evaluation. In the model implementation stage, this paper integrates multi-dimensional learning data to ensure the accuracy of the evaluation. Through empirical research, this paper verifies the reliability of the evaluation mechanism. The experimental results show that the mechanism can not only improve the transfer efficiency and forgetting rate of students’ learning knowledge, promote the diversification of teachers’ teaching strategies but also provide students with personalized learning feedback, which is conducive to their comprehensive development in the field of multiple intelligences.