数据驱动式新财经学术英语体裁教学模式构建与实践  

Data-Driven Genre Pedagogy for Financial and Economic Academic English:Model Construction and Pedagogical Implementation

作　　者：李立人 武少霞[1] 陈龙 Li Liren;Wu Shaoxia;Chen Long(Hebei University of Economics and Business,Shijiazhuang,Hebei,050061)

机构地区：[1]河北经贸大学,河北石家庄050061

出　　处：《现代英语》2024年第22期23-25,共3页Modern English

基　　金：河北省高等学校英语教学改革研究与实践项目“数据驱动视域下新财经学术英语教学模式构建”(项目编号:2023YYJG029)的研究成果之一

摘　　要：本研究以建构主义和数据驱动学习理念为理论基础,构建了借助语料库技术的新财经学术英语体裁教学模式。通过整合财经领域国际期刊论文的真实语料,设计“语步结构标注—话语特征分析—体裁规范归纳”的三维教学框架,引导学习者开展基于语料库的发现式学习。研究表明,该模式能有效提升学习者四个维度的能力:国际期刊论文的读写能力、学科的体裁意识与学术规范、基于证据的科学思维能力以及借助技术开展自主探究的学习能力。This study constructs a data-driven genre-based pedagogy for financial and economic academic English,grounded in constructivism theory and data-driven learning principles,utilizing corpus technology.By selecting authentic resources from international financial journals,a three-dimensional instructional framework of“move-annotation,discourse-analysis,and genre-norm induction”was designed to facilitate corpus-assisted discovery learning.Empirical findings demonstrate that this model significantly enhances learners'competencies in four dimensions:reading and writing proficiency for journal articles,genre awareness in financial discourse,evidence-based scientific thinking skills,and self-directed learning abilities with the help of technology.

关 键 词：数据驱动 体裁教学 语料库技术 财经学术英语 

分 类 号：G434[文化科学—教育学]