Using questions in non-interactive presentations: Multimodal analysis of an audience-engaging strategy

Author:

Ruiz Garrido MiguelORCID,Palmer-Silveira Juan CarlosORCID

Abstract

Open science, an approach based on making research available and understandable to everyone, is currently attracting considerable attention. Online genres are a well-accepted means of democratizing science and spreading scientific research to reach the widest audience (Luzón & Pérez-Llantada, 2019). This paper explores one of these genres devoted to laypeople: FameLab presentations. These are online 3-minute talks on scientific and/or technological subjects which are part of an international competition. One aim of these talks is to engage the audience, and this strategy can be developed by both different language resources (Hyland & Zou, 2021), and multimodal ones (Fortanet-Gómez & Ruiz-Madrid, 2016; Luzón, 2019).    Our study focuses on analyzing how questions are used as an engagement device to attract the audience’s attention, and how they are complemented by multimodal features. Our dataset includes 20 FameLab presentations from the 2020 (10) and 2021 (10) editions, when they became live-stream, pre-recorded events because of the COVID-19 pandemic, unlike the traditional dynamics, when they were delivered as in-person live events. Following prior research (e.g., Thompson, 1998), we identified the questions appearing in our dataset, and found similar results to previous findings in comparable genres. We then conducted a multimodal analysis to determine common features among speakers. The results show the need to consider certain non-verbal features which accompany questions, supporting and emphasizing their engagement function. Our research may help understand how multimodal discursive practices are used to explain science, and how they can be transferred to the classroom of Languages for Specific Purposes.

Publisher

Universidad de Extremadura - Servicio de Publicaciones

Subject

Linguistics and Language,Language and Linguistics

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