Influence of semiotic resources on peer interactions during collaborative digital multimodal composing

符号学 计算机科学 多模态 计算机辅助通信 多媒体 万维网 语言学 人机交互 自然语言处理 互联网 哲学
作者
Anisa Cheung
出处
期刊:Computer Assisted Language Learning [Routledge]
卷期号:: 1-31
标识
DOI:10.1080/09588221.2024.2393317
摘要

Collaborative digital multimodal composing (CDMC) has recently gained traction in the advent of technology-enhanced language learning, yet scant attention was paid to the influence of semiotic resources on the interaction patterns between learners. The present study attempted to fill the research gap by examining the interactions between English as a Second Language (ESL) learners in an online English for Academic Purpose (EAP) course. Using a multiple case-study design, three pairs of undergraduates completed a collaborative multimodal writing and video-making task for presentation using ZOOM. Influence of semiotic resources can be unveiled through manipulating the mode of presentation. Data of this study includes the verbal exchanges and non-verbal on-screen interactions between the participants while they are working on the tasks. Their interaction patterns were analyzed through conversation analysis and two aspects of collaborations, namely equality and mutuality, were also examined. Their interaction patterns were found to be strikingly different across both tasks, and languaging mainly serves the function of verbalization of content-related issues, such as searching for information and assembling various multimodal elements, with only rare instances of either grammar-based or lexis-based language-related episodes (LRE). Another striking finding is that pairs who are working collaboratively with balanced division and mutual contribution are less susceptible to our manipulation, as compared to those who are demonstrating a dominant-dominant or expert-novice working pattern. Implications of these findings on fostering peer collaborations during CDMC are discussed.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
bakbak完成签到,获得积分10
刚刚
李萌萌发布了新的文献求助10
1秒前
1秒前
1秒前
脑洞疼应助西瓜采纳,获得10
3秒前
非洲大呲花完成签到,获得积分10
3秒前
3秒前
柚子皮发布了新的文献求助10
3秒前
斯文败类应助mushini采纳,获得10
3秒前
3秒前
3秒前
皇甫藏鸟发布了新的文献求助10
3秒前
4秒前
OhoOu完成签到,获得积分10
5秒前
小巧雁菱完成签到,获得积分10
5秒前
Crisp完成签到,获得积分10
5秒前
xiaohongzz完成签到,获得积分10
6秒前
6秒前
6秒前
11发布了新的文献求助10
6秒前
afterly发布了新的文献求助10
7秒前
7秒前
ZSWAA发布了新的文献求助10
7秒前
随心完成签到,获得积分10
8秒前
9秒前
9秒前
阳仔发布了新的文献求助10
9秒前
Lu完成签到 ,获得积分10
9秒前
9秒前
彭于彦祖应助机灵又蓝采纳,获得20
9秒前
9秒前
黑虎发布了新的文献求助10
9秒前
9秒前
daihahaha完成签到,获得积分10
10秒前
skjt发布了新的文献求助20
10秒前
OhoOu发布了新的文献求助10
10秒前
haohao完成签到,获得积分10
10秒前
星辰大海应助General采纳,获得10
11秒前
11秒前
高分求助中
Continuum Thermodynamics and Material Modelling 2000
こんなに痛いのにどうして「なんでもない」と医者にいわれてしまうのでしょうか 510
Seven new species of the Palaearctic Lauxaniidae and Asteiidae (Diptera) 400
Fundamentals of Medical Device Regulations, Fifth Edition(e-book) 300
A method for calculating the flow in a centrifugal impeller when entropy gradients are present 240
Research Handbook on Political Economy and Law 220
Handbook of Laboratory Animal Science 200
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3697922
求助须知:如何正确求助?哪些是违规求助? 3249178
关于积分的说明 9862171
捐赠科研通 2960647
什么是DOI,文献DOI怎么找? 1623628
邀请新用户注册赠送积分活动 768733
科研通“疑难数据库(出版商)”最低求助积分说明 741820