Exploring EFL learners' positive emotions, technostress and psychological well‐being in AI‐assisted language instruction with/without teacher support in Malaysia

科技压力 心理学 数学教育 教育学 精神科
作者
Min Yang,Xiaoyi Wu,Farhana Diana Deris
出处
期刊:British Educational Research Journal [Wiley]
被引量:2
标识
DOI:10.1002/berj.4184
摘要

Abstract Despite the growing interest in artificial intelligence (AI)‐assisted language learning, limited research has explored its impact on learners' emotional experiences, technostress and psychological well‐being in English as a Foreign Language (EFL) contexts. This study aimed to address this gap by investigating how AI‐assisted language instruction, with and without teacher support, influences these critical dimensions among EFL learners in Malaysia. To achieve this, a convergent parallel mixed‐methods design was employed, involving 98 Malaysian female EFL learners who were divided into three groups: two experimental groups (EGs) and one control group (CG). The first EG received AI‐assisted instruction with teacher support, while the second EG engaged in AI‐assisted instruction without teacher support. The CG followed traditional teaching methods. All participants were pre‐tested on measures of positive emotions, technostress and psychological well‐being before undergoing their respective instructional treatments. Post‐tests were administered after the intervention, and semi‐structured interviews were conducted with a subset of participants from the two EGs to gather qualitative insights into their experiences. The findings revealed that learners in the AI with teacher support group demonstrated significantly higher levels of positive emotions, lower technostress and enhanced psychological well‐being compared to both the AI without teacher support group and the CG. Qualitative analysis further highlighted three key themes for the AI with teacher support group: teacher‐mediated emotional security and positive affect; teacher buffering of AI‐induced technostress; and teacher–AI synergy enhancing psychological well‐being. In contrast, the AI without teacher support group emphasised autonomy‐driven motivation, technological resilience and a pronounced craving for guidance. The findings highlight the importance of integrating teacher support with AI tools to foster a more balanced and effective learning environment.
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
传奇3应助Dreamer0422采纳,获得10
刚刚
Owen应助张文静采纳,获得10
1秒前
科研小石完成签到 ,获得积分10
1秒前
孤独的问凝完成签到,获得积分10
3秒前
共渡完成签到,获得积分10
3秒前
4秒前
橘子关注了科研通微信公众号
5秒前
KJ驳回了大个应助
9秒前
9秒前
楠D完成签到,获得积分10
11秒前
12秒前
AryaZzz完成签到,获得积分10
15秒前
16秒前
18秒前
yushi完成签到,获得积分10
21秒前
隐形曼青应助coolru采纳,获得10
21秒前
小小发布了新的文献求助10
22秒前
24秒前
25秒前
橘子发布了新的文献求助10
25秒前
29秒前
孝顺的觅风完成签到 ,获得积分10
29秒前
科研通AI6应助liang2508采纳,获得10
30秒前
30秒前
王哈哈发布了新的文献求助20
31秒前
32秒前
33秒前
机灵的向真完成签到,获得积分10
34秒前
34秒前
34秒前
34秒前
34秒前
34秒前
嘿嘿应助科研通管家采纳,获得20
35秒前
情怀应助科研通管家采纳,获得10
35秒前
35秒前
顾矜应助科研通管家采纳,获得10
35秒前
bkagyin应助科研通管家采纳,获得20
35秒前
所所应助科研通管家采纳,获得10
35秒前
小蘑菇应助科研通管家采纳,获得10
35秒前
高分求助中
HIGH DYNAMIC RANGE CMOS IMAGE SENSORS FOR LOW LIGHT APPLICATIONS 1500
Constitutional and Administrative Law 1000
Microbially Influenced Corrosion of Materials 500
Die Fliegen der Palaearktischen Region. Familie 64 g: Larvaevorinae (Tachininae). 1975 500
The Experimental Biology of Bryophytes 500
Numerical controlled progressive forming as dieless forming 400
Rural Geographies People, Place and the Countryside 400
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 5381280
求助须知:如何正确求助?哪些是违规求助? 4504712
关于积分的说明 14018995
捐赠科研通 4413867
什么是DOI,文献DOI怎么找? 2424475
邀请新用户注册赠送积分活动 1417481
关于科研通互助平台的介绍 1395246