亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Chatbots for language learning—Are they really useful? A systematic review of chatbot‐supported language learning

聊天机器人 计算机科学 功能可见性 个性化 心理学 人工智能 人机交互 语言习得 万维网 数学教育
作者
Weijiao Huang,Khe Foon Hew,Luke K. Fryer
出处
期刊:Journal of Computer Assisted Learning [Wiley]
卷期号:38 (1): 237-257 被引量:422
标识
DOI:10.1111/jcal.12610
摘要

Abstract Background The use of chatbots as learning assistants is receiving increasing attention in language learning due to their ability to converse with students using natural language. Previous reviews mainly focused on only one or two narrow aspects of chatbot use in language learning. This review goes beyond merely reporting the specific types of chatbot employed in past empirical studies and examines the usefulness of chatbots in language learning, including first language learning, second language learning, and foreign language learning. Aims The primary purpose of this review is to discover the possible technological, pedagogical, and social affordances enabled by chatbots in language learning. Materials & Methods We conducted a systematic search and identifies 25 empirical studies that examined the use of chatbots in language learning. We used the inductive grounded approach to identify the technological and pedagogical affordances, and the challenges of using chatbots for students’ language learning. We used Garrison's social presence framework to analyze the social affordances of using chatbots in language learning Results Our findings revealed three technological affordances: timeliness, ease of use, and personalization; and five pedagogical uses: as interlocutors, as simulations, for transmission, as helplines, and for recommendations. Chatbots appeared to encourage students’ social presence by affective, open, and coherent communication. Several challenges in using chatbots were identified: technological limitations, the novelty effect, and cognitive load. Discussion and Conclusion A set of rudimentary design principles for chatbots are proposed for meaningfully implementing educational chatbots in language learning, and detailed suggestions for future research are presented.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
6秒前
FashionBoy应助ResKeZhang采纳,获得10
8秒前
小蘑菇应助yyyyh采纳,获得10
8秒前
8秒前
sandwich完成签到 ,获得积分10
12秒前
韩国辉完成签到 ,获得积分10
12秒前
Tay发布了新的文献求助10
19秒前
redstone完成签到,获得积分10
21秒前
arisw发布了新的文献求助10
21秒前
动听衬衫发布了新的文献求助10
23秒前
gulugulu完成签到,获得积分10
25秒前
arisw完成签到,获得积分10
33秒前
可乐发布了新的文献求助10
34秒前
动听衬衫发布了新的文献求助10
37秒前
李雷完成签到 ,获得积分10
44秒前
50秒前
xiaoshuwang完成签到,获得积分10
50秒前
动听衬衫发布了新的文献求助10
53秒前
sxmt123456789发布了新的文献求助10
55秒前
赘婿应助atp7采纳,获得10
55秒前
归陌完成签到 ,获得积分10
57秒前
小张同学完成签到 ,获得积分0
1分钟前
sxmt123456789完成签到,获得积分10
1分钟前
1分钟前
1分钟前
1分钟前
丘比特应助动听衬衫采纳,获得10
1分钟前
1分钟前
atp7完成签到,获得积分10
1分钟前
atp7发布了新的文献求助10
1分钟前
1分钟前
张姐发布了新的文献求助10
1分钟前
1分钟前
淡定的天问完成签到,获得积分10
1分钟前
可乐完成签到,获得积分10
1分钟前
monair完成签到 ,获得积分10
1分钟前
共享精神应助张姐采纳,获得10
1分钟前
1分钟前
牂牂完成签到 ,获得积分10
1分钟前
张姐完成签到,获得积分10
1分钟前
高分求助中
Aerospace Standards Index - 2025 10000
(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
Treatise on Geochemistry (Third edition) 1600
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 1000
List of 1,091 Public Pension Profiles by Region 981
L-Arginine Encapsulated Mesoporous MCM-41 Nanoparticles: A Study on In Vitro Release as Well as Kinetics 500
流动的新传统主义与新生代农民工的劳动力再生产模式变迁 500
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 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5454735
求助须知:如何正确求助?哪些是违规求助? 4562104
关于积分的说明 14284726
捐赠科研通 4485945
什么是DOI,文献DOI怎么找? 2457157
邀请新用户注册赠送积分活动 1447737
关于科研通互助平台的介绍 1422973