期刊名称：International Journal of Emerging Technologies in Learning (iJET)
印刷版ISSN：1863-0383
出版年度：2022
卷号：17
期号：12
DOI：10.3991/ijet.v17i12.29653
语种：English
出版社：Kassel University Press
摘要：English for Specific Purposes (ESP) and Data-Driven Learning (DDL) are two constructivist and student-centered approaches to language pedagogy that are well-established in second language acquisition. Despite recent fruitful attempts to unify the two approaches for enhanced pedagogical effectiveness, current technological bottlenecks, characterized by a lack of specialized functionality and accessible interfaces for ESP learning, have limited their application in a broader range of scenarios such as blended language learning. To address these issues, the present paper proposes the design and development of a new DDL system tailored to the needs of ESP pedagogy, with functions specifically designed to foster student-centered learning and develop genre awareness at different stages of the ESP learning process. Built on a flexible plug-in architecture, the system utilizes state-of-the-art NLP tools for efficient multilayered linguistic annotation and indexing, made query-able through a user-friendly web interface that minimizes expertise required for DDL activities. We demonstrate the usefulness of the system with a case study showcasing its key functions for data-driven ESP learning, and discuss its potential use in an integrative blended learning environment.
