基于改进Adaboost算法的小学生学习习惯对英语词汇水平影响的研究

Xueyan Wu, Lili Jiang
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摘要

英语教育对儿童的终身发展具有重要意义。孩子的学习习惯对提高孩子的英语水平影响很大。在本研究中,从小学英语教学内容中随机抽取许多单词组成英语词汇测试问卷A,并邀请几名学生完成调查。这些分数被量化为三值变量作为儿童英语词汇水平的测量,并作为研究的因变量。然后,根据教育心理学的原理,在问卷B中选择了20种学习习惯的组合,并邀请学生和家长作为研究的自变量填写。最后,提出了一种改进的Adaboost算法。在训练数据集的基础上,构建了儿童英语词汇水平与儿童学习习惯的分类模型。模型经对折交叉检验F1得分为85.5%。该模型指出,英语水平较高的儿童的特点包括大声说英语,经常与英语母语者接触,愿意与他人交流,经常提出与英语学习有关的问题,经常随时随地学习英语。
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Improved Adaboost Algorithm Method-Based Research on Influence of Pupils' Learning Habits on English Vocabulary Level
English education is of great significance to children's lifelong development. Children's learning habits have a great impact on improving children's English level. In this study, many words were randomly selected from the primary school English teaching content to form the English vocabulary test questionnaire A, and several students were invited to complete the survey. The scores were quantified as three values variable as the measurement of children's English vocabulary level and as the dependent variable of the study. Then, based on the principles of educational psychology, 20 combinations of study habits were selected in questionnaire B, and students and parents were invited to fill in as the independent variables of the study. Finally, an improved Adaboost algorithm was proposed. Based on the training data set, a classification model of children's English vocabulary level and children's study habits was constructed. The F1 score of the model after the to-fold cross-test was 85.5%. The model pointed out that the characteristics of children with higher English levels include speaking English loudly, often contacting native speakers of English, being willing to communicate with others, often raising questions related to English learning, and often learning English anytime and anywhere.
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