基于数据驱动学习的高中英语词汇学习实证研究

发布时间：2018-04-13 11:34

本文选题：数据驱动学习法 + 高中英语词汇学习　；参考：《湖南师范大学》2015年硕士论文

【摘要】：本文主要将基于语料库的数据驱动学习法应用于高中英语词汇学习进行了实证研究。在以往的词汇学习研究中,大量研究集中于词汇的广度习得,而对于词汇的深度习得研究则较少。同时用数据驱动学习法学习词汇也主要集中在大学或研究生阶段,较少应用于低水平学习者。数据驱动学习法具有提供大量真实语料,通过发现式学习促进学习者习得深度语言知识等优点。因此本研究对于将数据驱动学习法应用于高中英语词汇学习具有积极意义。本文主要基于输入理论与建构主义学习理论对以下问题进行了研究：1)与传统词汇演绎教学法相比,数据驱动学习法是否对高中英语词汇学习整体效果更好?2)在词汇的深度习得方面,数据驱动学习法是否效果更好?3)学习者对数据驱动学习法持什么样的态度?实验选择长沙某高中高二年级的两个平行班为研究对象分别采用传统演绎教学法和数据驱动法学习高中重点单词一个月,然后通过后测和问卷调查的方式得到学生词汇学习的成绩与学生对数据驱动学习法学习词汇的态度,最后用独立样本T检验对所得到的数据进行分析。研究结果发现：1)与传统词汇演绎教学法相比,数据驱动学习法对高中英语词汇学习整体效果更显著；2)在词汇深度习得方面,两种方法对词性和词意的学习效果没有显著差别,而对词汇搭配与词汇应用方面数据驱动学习法效果显著；3)大多数学习者对数据驱动学习法持积极态度。因此,本实验证明了数据驱动学习法应用于低水平学习者的可行性,对将其应用于高中英语词汇的深度习得具有积极意义。鉴于现实原因,本实验在实验对象与实验时间方面存在不足,在以后的研究中可以扩大样本量,增加实验时间以在更大范围内应用数据驱动学习法。
[Abstract]:In this paper, the data-driven learning method based on corpus is applied to English vocabulary learning in senior high school.In previous vocabulary learning studies, a large number of studies focused on vocabulary breadth acquisition, but less on deep vocabulary acquisition.At the same time, the data-driven learning method is mainly used in the university or graduate level, less applied to low-level learners.Data-driven learning has the advantages of providing a large amount of real data and promoting learners to acquire deep language knowledge through discovery learning.Therefore, this study is of great significance to the application of data-driven learning to high school English vocabulary learning.Based on the input theory and constructivist learning theory, this paper studies the following questions: 1) compared with the traditional lexical deductive teaching method.(2) in terms of the depth of vocabulary acquisition, is the data-driven learning method more effective? 3) what attitude does the data-driven learning approach have to the data-driven learning approach?The experiment chooses two parallel classes in a senior middle school in Changsha as the research object, and uses the traditional deductive teaching method and the data-driven method to study the key words in the senior high school for one month respectively.Then the results of vocabulary learning and the attitude of students towards data-driven learning are obtained by post-test and questionnaire survey. Finally, the data obtained are analyzed by independent sample T test.The results show that: 1) compared with the traditional lexical deduction method, the data-driven learning method has a more significant effect on senior English vocabulary learning. (2) in terms of deep vocabulary acquisition, there is no significant difference between the two methods in terms of part of speech and meaning.However, the effect of data-driven learning on lexical collocation and vocabulary application is significant (3) most learners have a positive attitude towards data-driven learning.Therefore, this experiment proves the feasibility of applying data-driven learning to low-level learners, which is of positive significance to the deep acquisition of English vocabulary in senior high school.In view of the practical reasons, there are some shortcomings in the experiment object and the experiment time. In the future research, we can enlarge the sample size and increase the experimental time to apply the data-driven learning method in a wider range.
【学位授予单位】：湖南师范大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：G633.41

【相似文献】