Beyond ChatGPT: A conceptual framework and systematic review of speech-recognition chatbots for language learning

聊天机器人 功能可见性 计算机科学 概念化 多模态 概念框架 人机交互 人工智能 万维网 社会学 社会科学
作者
Jaeho Jeon,Seongyong Lee,Hohsung Choe
出处
期刊:Computers & education [Elsevier BV]
卷期号:206: 104898-104898 被引量:104
标识
DOI:10.1016/j.compedu.2023.104898
摘要

The diversification of chatbot technology, such as the emergence of large language models and their incorporation into various technologies, necessitates a conceptual framework for a comprehensive understanding of different chatbot types and their possibilities for educational use. However, despite the fact that chatbots with different characteristics can provide learners with different interaction experiences, previous research has drawn on a loose conceptualization of chatbots, ignoring the common or unique design features of different chatbots and the educational affordances that are provided accordingly. In response to this concern, this review aims to further our understanding of different types of speech-recognition chatbots for language learning and the affordances provided by the chatbots. Based on an analysis of 37 empirical studies on uses of chatbots ranging from those with predefined dialogue systems to those utilizing artificial intelligence technology, this review proposes a conceptual framework that comprises three key components of a chatbot system: goal-orientation, embodiment, and multimodality. Using this framework as an analytical tool, eight chatbot types are identified and defined. Additionally, a total of 12 affordances are derived from the presence and absence of each component of the framework. Analysis of the studies through the framework also offers specific insights into how future chatbot research and development should be pursued in terms of goal-orientation, embodiment, and multimodality. Finally, we discuss the potential of the framework as a relevant model for understanding chatbots in adjacent disciplines and types other than speech-recognition chatbots, including ChatGPT and other large language models.
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
和和和完成签到,获得积分10
刚刚
乐观的幼珊完成签到,获得积分10
刚刚
Lz发布了新的文献求助10
刚刚
1秒前
llly666完成签到,获得积分10
2秒前
2秒前
皮卡丘发布了新的文献求助10
2秒前
柏林寒冬应助nenoaowu采纳,获得10
2秒前
柏林寒冬应助nenoaowu采纳,获得10
2秒前
Amelia完成签到,获得积分10
3秒前
3秒前
科研通AI2S应助julie采纳,获得10
4秒前
日暮里发布了新的文献求助10
4秒前
163.com发布了新的文献求助10
4秒前
4秒前
chaserlife发布了新的文献求助10
5秒前
熊涛发布了新的文献求助10
5秒前
hl_sci发布了新的文献求助10
5秒前
陈仲完成签到,获得积分10
5秒前
posh完成签到,获得积分10
6秒前
丫头发布了新的文献求助10
6秒前
天真的不评完成签到 ,获得积分10
6秒前
坨子完成签到,获得积分20
7秒前
19880818发布了新的文献求助10
8秒前
Joleneli100发布了新的文献求助10
8秒前
坨子发布了新的文献求助10
10秒前
科目三应助pzzz123采纳,获得10
11秒前
脑洞疼应助平常乐安采纳,获得10
11秒前
12秒前
昏睡的飞机完成签到,获得积分10
13秒前
温暖的夏岚完成签到 ,获得积分10
13秒前
13秒前
14秒前
chaserlife完成签到,获得积分10
15秒前
15秒前
地平完成签到,获得积分10
15秒前
jinyy完成签到,获得积分10
15秒前
量子星尘发布了新的文献求助10
16秒前
yoyo122完成签到,获得积分10
17秒前
ri_290发布了新的文献求助10
17秒前
高分求助中
(禁止应助)【重要!!请各位详细阅读】【科研通的精品贴汇总】 10000
Semantics for Latin: An Introduction 1099
Biology of the Indian Stingless Bee: Tetragonula iridipennis Smith 1000
Robot-supported joining of reinforcement textiles with one-sided sewing heads 740
镇江南郊八公洞林区鸟类生态位研究 500
Thermal Quadrupoles: Solving the Heat Equation through Integral Transforms 500
Corpus Linguistics for Language Learning Research 300
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 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4139320
求助须知:如何正确求助?哪些是违规求助? 3676275
关于积分的说明 11620352
捐赠科研通 3370382
什么是DOI,文献DOI怎么找? 1851340
邀请新用户注册赠送积分活动 914489
科研通“疑难数据库(出版商)”最低求助积分说明 829266