Using social robots for language learning: are we there yet?

机器人 范围(计算机科学) 政府(语言学) 领域(数学) 计算机科学 人工智能 语言学 数学 哲学 程序设计语言 纯数学
作者
Guanyu Huang,Roger K. Moore
出处
期刊:Journal of China computer-assisted language learning [De Gruyter]
卷期号:3 (1): 208-230 被引量:13
标识
DOI:10.1515/jccall-2023-0013
摘要

Along with the development of speech and language technologies and growing market interest, social robots have attracted more academic and commercial attention in recent decades. Their multimodal embodiment offers a broad range of possibilities, which have gained importance in the education sector. It has also led to a new technology-based field of language education: robot-assisted language learning (RALL). RALL has developed rapidly in second language learning, especially driven by the need to compensate for the shortage of first-language tutors. There are many implementation cases and studies of social robots, from early government-led attempts in Japan and South Korea to increasing research interests in Europe and worldwide. Compared with RALL used for English as a foreign language (EFL), however, there are fewer studies on applying RALL for teaching Chinese as a foreign language (CFL). One potential reason is that RALL is not well-known in the CFL field. This scope review paper attempts to fill this gap by addressing the balance between classroom implementation and research frontiers of social robots. The review first introduces the technical tool used in RALL, namely the social robot, at a high level. It then presents a historical overview of the real-life implementation of social robots in language classrooms in East Asia and Europe. It then provides a summary of the evaluation of RALL from the perspectives of L2 learners, teachers and technology developers. The overall goal of this paper is to gain insights into RALL's potential and challenges and identify a rich set of open research questions for applying RALL to CFL. It is hoped that the review may inform interdisciplinary analysis and practice for scientific research and front-line teaching in future.
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
摄氏度26完成签到,获得积分20
刚刚
1秒前
JMY发布了新的文献求助10
1秒前
缥缈向松完成签到,获得积分10
1秒前
1秒前
英俊的铭应助liuuuuuu采纳,获得10
1秒前
2秒前
LiuLiu完成签到,获得积分10
2秒前
靖哥哥发布了新的文献求助10
2秒前
高兴新之发布了新的文献求助10
2秒前
高兴新之发布了新的文献求助10
2秒前
高兴新之发布了新的文献求助10
2秒前
高兴新之发布了新的文献求助10
2秒前
高兴新之发布了新的文献求助10
2秒前
高兴新之发布了新的文献求助10
3秒前
高兴新之发布了新的文献求助10
3秒前
柚子发布了新的文献求助10
3秒前
小二郎应助主谓宾采纳,获得10
3秒前
3秒前
南宫书瑶发布了新的文献求助10
3秒前
4秒前
蛋炒饭完成签到,获得积分10
4秒前
4秒前
顺利毕业完成签到,获得积分10
4秒前
5秒前
5秒前
路冰发布了新的文献求助10
5秒前
结实伯云完成签到,获得积分10
5秒前
Tanya发布了新的文献求助10
6秒前
8秒前
天天快乐应助番茄米线儿采纳,获得10
9秒前
孤风发布了新的文献求助10
9秒前
科研顺利完成签到,获得积分10
9秒前
9秒前
111发布了新的文献求助10
9秒前
10秒前
jackeylove发布了新的文献求助10
11秒前
11秒前
14秒前
高分求助中
Cronologia da história de Macau 5000
Erwählung und Berufung bei Paulus: Bedeutung, Entwicklung und Funktion einer Vorstellung in ihrem frühjüdischen und griechisch-römischen Kontext 850
Matrix Methods in Data Mining and Pattern Recognition 510
Interactions of Vowel Quality and Prosody in East Slavic 500
用于植入式医疗器械的馈通设计与实现 400
Animalia: Animal and Human Interaction in the Early Medieval English World (Exeter Studies in Medieval Europe) 400
Synfacts Issue 07 · Volume 22 400
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 7135441
求助须知:如何正确求助?哪些是违规求助? 8784549
关于积分的说明 18571188
捐赠科研通 6720860
什么是DOI,文献DOI怎么找? 3153671
关于科研通互助平台的介绍 2279416
邀请新用户注册赠送积分活动 2128105