数据驱动学习模式对大学生词汇自主学习能力的培养——基于BNC语料库的实证研究

On the Cultivation of College Students' Vocabulary Autonomous Learning Ability by Data-driven Learning Model——An Empirical Study Based on BNC Corpus

数据驱动学习是一种基于语料库语境共现的学习方法,学习者通过接触真实语料,并采取归纳式学习主动探索语言使用规律。本研究利用英国国家语料库(BNC)提供的检索平台,对大学生的词汇自主学习能力进行培养,以期让教师的"教"转向为学生的"学",让学生的主体地位得以显现。

Data-driven learning is a corpus-based co-occurrence learning method in which learners approach real corpus and take inductive learning to explore the rules of language use. Using the retrieval platform provided by British National Corpus(BNC) and this study aims to cultivate college students' ability of autonomous vocabulary learning in order to turn teachers' "teaching" into students' "learning" and to show students' dominant position.