A robot-based digital storytelling approach to enhancing EFL learners’ multimodal storytelling ability and narrative engagement

数字化讲故事 讲故事 班级(哲学) 叙述的 计算机科学 多模态 背景(考古学) 动画 交互式叙事方式 多媒体 心理学 教育学 数学教育 人工智能 语言学 万维网 古生物学 哲学 计算机图形学(图像) 生物
作者
Jia-Cing Liang,Gwo‐Jen Hwang
出处
期刊:Computers & education [Elsevier BV]
卷期号:201: 104827-104827 被引量:69
标识
DOI:10.1016/j.compedu.2023.104827
摘要

Digital technology has brought new opportunities for language education. Multimodal literacy refers to the ability to read, watch, understand, respond to, and generate multimodal texts. Multimodality, promoted by scholars, generates meaning in multiple modes. Hence, digital storytelling (DST) presented with multimodal content has been extensively applied in second language instruction. However, traditional DST is mostly presented in videos with one-way communication; it lacks two-way communication with the audience and is only regarded as a learning method for knowledge acquisition. As a result, the present study proposed a robot-based DST (robot-DST) approach to facilitate the interaction in the DST process and to enhance students' engagement. In order to evaluate its effectiveness, a quasi-experiment was conducted in an EFL course at a senior high school. Two classes of 11th graders participated in the experiment. One class with 40 students was the experimental group adopting the robot-DST approach, while the other class with 40 students was the control group adopting the conventional animation-based DST (CA-DST) approach. The results showed that the robot-DST approach could significantly reduce students' communication apprehension, as well as enhance their English speaking ability, storytelling ability, narrative engagement, and communication tendency. The findings show that using robots in the context of digital storytelling design has great potential for promoting learners’ language learning performances. Accordingly, in-depth discussion and suggestions for future research are provided for researchers and school teachers who intend to use robots in educational settings.
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
1秒前
炫烟完成签到,获得积分10
3秒前
超帅孱完成签到,获得积分10
3秒前
化学民工完成签到 ,获得积分10
4秒前
伶俐的猎豹完成签到 ,获得积分10
5秒前
7秒前
炫烟发布了新的文献求助10
7秒前
流星逐月完成签到,获得积分10
7秒前
rick3455完成签到 ,获得积分10
8秒前
苏州河发布了新的文献求助10
9秒前
鱼憨儿完成签到,获得积分10
10秒前
朴素乌龟发布了新的文献求助10
11秒前
gooooood完成签到 ,获得积分10
13秒前
头上有犄角ph完成签到,获得积分10
15秒前
自由如风完成签到 ,获得积分10
16秒前
阿楠完成签到 ,获得积分10
18秒前
不知道完成签到,获得积分10
19秒前
eternal_dreams完成签到 ,获得积分10
20秒前
Yu完成签到,获得积分10
20秒前
苏州河发布了新的文献求助10
24秒前
朴素乌龟发布了新的文献求助10
25秒前
跳不起来的大神完成签到 ,获得积分10
27秒前
苏州河发布了新的文献求助10
32秒前
Akim应助飞快的迎南采纳,获得10
36秒前
科研爱好者完成签到,获得积分10
36秒前
认真的梦琪完成签到,获得积分10
37秒前
loren313完成签到,获得积分0
39秒前
yj完成签到,获得积分10
39秒前
lifenghou完成签到 ,获得积分10
39秒前
maodou完成签到,获得积分10
40秒前
萨达发布了新的文献求助10
43秒前
无畏甜桃完成签到 ,获得积分10
43秒前
共享精神应助执着的觅波采纳,获得10
44秒前
我是老大应助苏州河采纳,获得10
45秒前
liu95完成签到 ,获得积分0
46秒前
传奇3应助hihao采纳,获得10
47秒前
53秒前
oVo_Dan完成签到 ,获得积分10
53秒前
萨达完成签到,获得积分10
56秒前
孤独的立轩完成签到 ,获得积分10
57秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Navigating Normative Orders. Interdisciplinary Perspectives 800
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7750000
求助须知:如何正确求助?哪些是违规求助? 9297649
关于积分的说明 20241367
捐赠科研通 7331470
什么是DOI,文献DOI怎么找? 3309487
关于科研通互助平台的介绍 2461104
邀请新用户注册赠送积分活动 2321840