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!

Does Artificial Intelligence (AI) Nurture or Hinder Language Learners' Higher‐ Order Thinking Skills (HOTS)? A Phenomenological Study on L2 Learners' Perspectives and Lived Experiences

先天与后天 心理学 高阶思维 订单(交换) 数学教育 教育学 社会学 教学方法 财务 人类学 认知指导教学 经济
作者
Ali Derakhshan,Mohammad Sadegh Taghizadeh
出处
期刊:International Journal of Applied Linguistics [Wiley]
被引量:50
标识
DOI:10.1111/ijal.12824
摘要

ABSTRACT The integration of artificial intelligence (AI) in language classrooms has sparked some debates among academics and educators regarding the potential implications of this advanced technology for learners’ cognitive development. To resolve these debates, some research studies have recently probed the influences of AI technologies on students’ higher‐order thinking skills (HOTS), which are crucial for creativity, critical thinking, and problem‐solving. However, due to the excessive reliance of previous studies on quantitative research approaches, the ways in which AI can influence students’ higher‐order thinking skills are still not thoroughly understood. To gain a deeper insight into the effects of AI on students’ cognitive development, this phenomenological study examined the perspectives and lived experiences of second and foreign language (L2) learners regarding the role of this emerging technology in their higher‐order thinking abilities. In so doing, a purposive sample of 36 L2 learners was drawn from different universities in Iran. The required data were gleaned via semi‐structured interviews and narrative frames and thematically analyzed through the latest version of MAXQDA software (v. 2024). The findings of the thematic analysis indicated that AI serves as a double‐edged sword, capable of both fostering and impeding the development of higher‐order thinking skills in language learners. While some participants maintained that AI tools can foster language learners’ HOTS, others expressed concerns that over‐reliance on AI may diminish language learners’ capacity to analyze and evaluate. The findings drawn from this research can greatly contribute to our knowledge of AI and its implications in language classrooms.
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
3秒前
Copyright应助科研通管家采纳,获得10
3秒前
华仔应助科研通管家采纳,获得10
3秒前
5秒前
9秒前
Yxqoehtoso发布了新的文献求助10
14秒前
18秒前
suge完成签到,获得积分10
21秒前
30秒前
闪闪访波完成签到,获得积分10
51秒前
1分钟前
知蜜10发布了新的文献求助10
1分钟前
李爱国应助Yxqoehtoso采纳,获得10
1分钟前
单薄的钥匙完成签到,获得积分10
1分钟前
陆康完成签到 ,获得积分10
1分钟前
1分钟前
科目三应助知蜜10采纳,获得10
1分钟前
1分钟前
1分钟前
半夏发布了新的文献求助30
1分钟前
蛋黄完成签到,获得积分10
1分钟前
英俊的皮带完成签到,获得积分10
1分钟前
hsj完成签到,获得积分10
1分钟前
1分钟前
无花果应助坚强莺采纳,获得10
1分钟前
Julia完成签到,获得积分20
2分钟前
kke发布了新的文献求助10
2分钟前
Julia发布了新的文献求助10
2分钟前
半夏关注了科研通微信公众号
2分钟前
真实的荣轩完成签到,获得积分10
2分钟前
kke完成签到,获得积分20
2分钟前
风中的香寒完成签到 ,获得积分10
2分钟前
可靠的芯完成签到,获得积分10
2分钟前
天天快乐应助渥鸡蛋采纳,获得10
3分钟前
3分钟前
知蜜10发布了新的文献求助10
3分钟前
3分钟前
渥鸡蛋发布了新的文献求助10
3分钟前
3分钟前
3分钟前
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
Geist der Kunst und Kultur 1000
Resistance Spot Welding Dataset for Automobile Body-in-White Quality Analysis 748
日本現代怪異事典 副読本 700
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 650
Machine Learning for Asset Management and Pricing 600
Numerical analysis of the coupled atmosphere-ocean models (CAO II). II 600
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 7392080
求助须知:如何正确求助?哪些是违规求助? 8998129
关于积分的说明 19149384
捐赠科研通 7028224
什么是DOI,文献DOI怎么找? 3229201
关于科研通互助平台的介绍 2391522
邀请新用户注册赠送积分活动 2210581