Comparing the effects of intelligent personal assistant-human and human-human interactions on EFL learners’ willingness to communicate beyond the classroom

愿意交流 心理学 焦点小组 班级(哲学) 互动性 步伐 社会心理学 计算机科学 多媒体 大地测量学 业务 人工智能 营销 地理
作者
Tzu‐Yu Tai
出处
期刊:Computers & education [Elsevier BV]
卷期号:210: 104965-104965 被引量:23
标识
DOI:10.1016/j.compedu.2023.104965
摘要

This study explored the effects of out-of-class interactions with intelligent personal assistants (IPAs) versus human interlocutors on EFL learners' willingness to communicate (WTC) in English. A total of 92 first-year college students were recruited to participate in interactive out-of-class activities, which were held in 10-min sessions twice a week for 12 weeks. The participants were divided into three groups: an IPA group, who interacted with Alexa or Google Assistant through a smartphone; an EL1 group, who interacted with L1 English speakers; and an EL2 group, who interacted with L2 English speakers. WTC questionnaires and focus-group interviews were used to evaluate WTC. Significant differences in WTC were discovered between the three groups. The IPA group had greater WTC than did the EL1 or EL2 group. The intergroup differences were attributable to the interaction of contextual (interlocutor and time), individual (L2 self-confidence, anxiety, and proficiency), and sociopolitical (Taiwan's K-12 education) factors. The participants in the IPA group emphasized that the mobility, convenience, interactivity, multifunctionality, and familiarity of IPAs on smartphones enabled them to practice speaking English anywhere, anytime, and at their own pace. IPAs, as supportive and patient learning partners, enhanced the learners' engagement, confidence, and thus WTC.
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
TT完成签到,获得积分20
1秒前
咖啡博士完成签到,获得积分10
2秒前
Hello应助烂漫烧鹅采纳,获得30
2秒前
Jeje发布了新的文献求助10
2秒前
2秒前
3秒前
逃跑的想表白的你猜完成签到,获得积分10
3秒前
朴实初夏完成签到 ,获得积分10
4秒前
大媛大靳吃地瓜完成签到,获得积分10
5秒前
荣和完成签到,获得积分10
5秒前
小余同学发布了新的文献求助10
6秒前
小花排草应助李木子采纳,获得30
6秒前
Q女士的论文在哪里完成签到 ,获得积分10
8秒前
8秒前
汉堡包应助糯糯采纳,获得10
10秒前
幸运的科研小狗完成签到,获得积分10
10秒前
Honghu2527发布了新的文献求助10
11秒前
12秒前
12秒前
向晚完成签到,获得积分10
12秒前
smileriver完成签到,获得积分10
12秒前
搜集达人应助momo采纳,获得10
12秒前
西风惊绿发布了新的文献求助10
12秒前
OKOK应助biye采纳,获得10
12秒前
搜集达人应助biye采纳,获得10
12秒前
Caliho完成签到,获得积分10
13秒前
13秒前
金超碟完成签到,获得积分10
13秒前
小苗完成签到 ,获得积分10
13秒前
研友_VZG7GZ应助enrui采纳,获得10
14秒前
等待凝海发布了新的文献求助10
14秒前
深情安青应助栗子Liz采纳,获得10
14秒前
在水一方应助夏简柒采纳,获得10
15秒前
15秒前
C14yd3n发布了新的文献求助10
16秒前
16秒前
17秒前
18秒前
hu完成签到,获得积分10
18秒前
19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
Robot-supported joining of reinforcement textiles with one-sided sewing heads 780
水稻光合CO2浓缩机制的创建及其作用研究 500
Logical form: From GB to Minimalism 500
2025-2030年中国消毒剂行业市场分析及发展前景预测报告 500
Grammar in Action:Building comprehensive grammars of talk-in-interaction 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 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 4164953
求助须知:如何正确求助?哪些是违规求助? 3700298
关于积分的说明 11683089
捐赠科研通 3389528
什么是DOI,文献DOI怎么找? 1858922
邀请新用户注册赠送积分活动 919302
科研通“疑难数据库(出版商)”最低求助积分说明 832038