Engagement Markers in EFL MOOC Lectures in Chinese Universities

Author:

Guo Xiaohua, ,Ibrahim Noor Mala

Abstract

Effective engagement is a crucial aspect of teaching and learning, particularly in online environments such as Massive Open Online Courses (MOOCs), where face-to-face interaction is limited. However, there is minimal research on how instructors employ language to engage students within MOOCs. In this regard, the concept of engagement markers becomes invaluable. These linguistic devices facilitate interaction between speakers and their online audiences. This study involves an analysis utilizing a self-built corpus of English as a Foreign Language (EFL) MOOC lectures offered by Chinese universities. Hyland’s engagement model identified the types, frequency, and functions of engagement markers employed by lecturers to engage learners in EFL MOOC lectures. In particular, the researchers compared nationally recognized EFL MOOC lectures with those from ordinary universities. The research findings indicated diverse engagement markers in EFL MOOC lectures. Nationally recognized EFL MOOCs exhibited a more extensive and frequent utilization of these markers than their counterparts from ordinary universities. For example, EFL MOOC lectures from top universities made significantly greater use of personal pronouns than those from ordinary Chinese universities. These results hold significant implications for EFL lecturers, providing valuable insights into effective engagement strategies for MOOCs. Furthermore, the present study contributes to the professional development of educators in this dynamic educational landscape.

Publisher

EJournal Publishing

Subject

Computer Science Applications,Education

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Implementation of Jigsaw Teaching Model in College English Reading Classes to Improve Student Engagement;Proceedings of the 2023 International Conference on Information Education and Artificial Intelligence;2023-12-22

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3