TY - JOUR AU - Yan, Hengbin PY - 2022/06/21 Y2 - 2024/03/29 TI - A Blended System for Data-Driven Learning of English for Specific Purposes JF - International Journal of Emerging Technologies in Learning (iJET) JA - Int. J. Emerg. Technol. Learn. VL - 17 IS - 12 SE - Papers DO - 10.3991/ijet.v17i12.29653 UR - https://online-journals.org/index.php/i-jet/article/view/29653 SP - pp. 121-134 AB - <p class="0abstractCxSpFirst"><span lang="EN-US">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.</span></p><p class="0abstractCxSpLast"><span lang="EN-US">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.</span></p> ER -