System Construction of Mind Map in English Vocabulary Teaching Based on Machine Learning Algorithm

Abstract

Mind map is an effective graphical thinking tool for expressing divergent thinking. It is a simple, yet effective and efficient, practical thinking tool. This paper aims to use machine learning algorithms to build a mind map system and apply it to English vocabulary teaching. This paper first introduces the classification of machine learning algorithms and then briefly expounds the overview of the mind map construction system. Finally, this paper integrates the mind map constructed by machine learning algorithms into English vocabulary teaching practice and compares it with the traditional teaching mode. The experimental results show that the accuracy rate of students’ vocabulary review and test under the vision of the English vocabulary teaching mode of the mind map constructed by the machine learning algorithm has reached 85%, which verifies the effectiveness of the method. Popularizing it in the current English vocabulary teaching can improve students’ interest and effect in learning vocabulary and has certain operability.