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Study of Methods for Constructing Intelligent Learning models Supported by Artificial Intelligence

EAI ENDORSED TRANSACTIONS ON SCALABLE INFORMATION SYSTEMS 2024年第2期11卷 1-12页

作者： Pan, Lijun Zhengzhou Normal Univ Coll Elementary Educ Zhengzhou 450044 Henan Peoples R China

INTRODUCTION: As the essential part of intelligent learning, innovative learning model construction is conducive to improving the quality of intelligent new teaching models, thus leading the deep integration of teaching and artificial intelligence and accelerating the change and development of teaching supported by artificial ***: Aiming at the current intelligent teaching evaluation design method, there are problems such as more objectivity, poor precision, and a single method of evaluation ***: his paper proposes an intelligent learning construction method based on cluster analysis and deep learning algorithms. First of all, the intelligent learning model construction process is sorted out by clarifying the idea of clever learning model construction and extracting model elements;then, the intelligent learning model is constructed through a K-means clustering algorithm and deep compression sparse self-encoder;finally, the effectiveness and high efficiency of the proposed method is verified through simulation experiment ***: Solved the problem that the intelligent learning model construction method is not objective enough, has poor accuracy and is not efficient ***: The results show that the proposed method improves the model's accuracy.

关键词： Intelligent learning model model element extraction K-means clustering algorithm Deep compression sparse self-encoder

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