Using AI-driven chatbots to foster Chinese EFL students’ academic engagement: An intervention study

干预(咨询) 心理学 学生参与度 数学教育 教育学 精神科
作者
Yongliang Wang,Lina Xue
出处
期刊:Computers in Human Behavior [Elsevier BV]
卷期号:159: 108353-108353 被引量:234
标识
DOI:10.1016/j.chb.2024.108353
摘要

The present experimental research was an endeavor to assess the role of AI-driven chatbots in fostering Chinese EFL students' academic engagement. To do so, a sample of 113 EFL students was chosen from a national university in central China. Following that, through a random sampling method, students were allocated to the experimental and control groups. The experimental group (N = 57) was instructed through three AI-driven chatbots, whereas the control group (N = 56) received regular instructions without using AI-driven chatbots. To evaluate participants' level of academic engagement, a self-report scale was administered to them before and after the intervention. The study results indicated that the AI-driven chatbots positively influenced the academic engagement of students in Chinese EFL classrooms. Put it another way, the study outcomes revealed that AI-driven chatbots served as an important role in fostering Chinese EFL students' behavioral, cognitive, and emotional engagement. The results of this intervention study may be illuminating for all language teachers working in L2 instructional contexts. Concerning the outcomes of this inquiry, AI-driven chatbots could be of great help to language teachers in enhancing the academic engagement of their students.
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
1秒前
啊啊啊啊发布了新的文献求助10
1秒前
TOMORROW完成签到,获得积分10
1秒前
molihuakai应助杨德凯采纳,获得10
1秒前
so完成签到,获得积分10
1秒前
领导范儿应助肖业鹏采纳,获得10
1秒前
1秒前
袁瑞发布了新的文献求助10
2秒前
满意的紫烟完成签到,获得积分10
3秒前
3秒前
蔬菜沙拉发布了新的文献求助10
4秒前
charky发布了新的文献求助10
4秒前
niuzyang发布了新的文献求助10
4秒前
5秒前
子云发布了新的文献求助10
6秒前
6秒前
D燃发布了新的文献求助10
6秒前
guoyl发布了新的文献求助10
7秒前
8秒前
niuzyang完成签到,获得积分10
9秒前
小宝贝啥也不懂完成签到,获得积分10
9秒前
滟滟完成签到,获得积分10
9秒前
miaomiao完成签到,获得积分10
9秒前
wangzili87发布了新的文献求助20
10秒前
10秒前
10秒前
烟花应助泡泡糖采纳,获得10
11秒前
11秒前
杨德凯发布了新的文献求助10
13秒前
14秒前
15秒前
16秒前
16秒前
许金钗完成签到,获得积分10
16秒前
19秒前
20秒前
xin完成签到,获得积分20
20秒前
欣喜沛芹发布了新的文献求助10
20秒前
21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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
CLSI M100 Performance Standards for Antimicrobial Susceptibility Testing 36th edition 400
Cancer Targets: Novel Therapies and Emerging Research Directions (Part 1) 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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6361045
求助须知:如何正确求助?哪些是违规求助? 8174905
关于积分的说明 17220283
捐赠科研通 5416017
什么是DOI,文献DOI怎么找? 2866116
邀请新用户注册赠送积分活动 1843351
关于科研通互助平台的介绍 1691365