Beyond efficiency: Empirical insights on generative AI 's impact on cognition, metacognition and epistemic agency in learning

元认知 认知 生成语法 代理(哲学) 认知科学 生成模型 心理学 实证研究 体验式学习 数学教育 计算机科学 认知心理学 认识论 人工智能 哲学 神经科学
作者
Lixiang Yan,Viktoria Pammer‐Schindler,Caitlin Mills,Andy Nguyen,Dragan Gašević
出处
期刊:British Journal of Educational Technology [Wiley]
卷期号:56 (5): 1675-1685 被引量:25
标识
DOI:10.1111/bjet.70000
摘要

Abstract Generative AI (GenAI) promises to reshape education, yet, beyond gains in efficiency and scalability, crucial questions remain regarding its deeper cognitive, epistemic, socio‐emotional and ethical implications for learners. This special section collects emerging empirical evidence from diverse educational settings to examine how interactions with advanced GenAI systems—ranging from intelligent tutors and conversational agents to AI‐generated feedback providers—shape learners' cognitive engagement, epistemic agency, metacognitive regulation and emotional relationships with technology. While studies reveal evidence of positive effects in personalised guidance, collaborative inquiry and enhanced self‐reflection, findings also highlight risks such as diminished epistemic vigilance, superficial learning and emotional dependence on AI interlocutors. These insights advocate for an educational re‐imagining that actively experiments with novel AI technologies while continuously gathering and critically evaluating evidence—envisioning education not merely as a spectrum ranging from fully human‐ or AI‐led activities but also as genuinely collaborative endeavours that balance human intelligence and AI capabilities in meaningful and ethically grounded partnerships. Looking ahead, in this editorial, we propose an interdisciplinary research roadmap that urges deeper examination of the cognitive and neural consequences associated with sustained AI exposure, together with the development of comprehensive frameworks to cultivate AI literacy and evaluative judgement. It also encourages rigorous assessment of the long‐term ethical implications of increasingly blurred human‐AI boundaries. Ultimately, advancing education in GenAI‐infused contexts requires proactive engagement with these emerging complexities, so that teachers and learners not only survive in an AI‐infused future but also creatively, critically and ethically co‐author it.
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
Frank完成签到 ,获得积分10
1秒前
11111完成签到,获得积分10
1秒前
正文完成签到,获得积分10
1秒前
Nefelibata完成签到,获得积分10
3秒前
whyme完成签到,获得积分10
3秒前
TJTerrence完成签到,获得积分0
4秒前
牵着老虎晒月亮完成签到 ,获得积分10
5秒前
狂野小兔子完成签到 ,获得积分20
6秒前
c1302128340完成签到,获得积分10
6秒前
loren313完成签到,获得积分0
6秒前
6秒前
aa完成签到 ,获得积分10
7秒前
cdercder应助arniu2008采纳,获得10
10秒前
弹指一挥间完成签到 ,获得积分10
11秒前
初晴完成签到,获得积分10
11秒前
TNU完成签到,获得积分10
11秒前
Andrea发布了新的文献求助10
12秒前
YANG完成签到 ,获得积分10
12秒前
十三完成签到,获得积分10
12秒前
2滴水完成签到,获得积分10
14秒前
laa完成签到,获得积分10
14秒前
刘亮亮完成签到,获得积分10
17秒前
小小蚂蚁完成签到,获得积分10
19秒前
哎呀呀完成签到,获得积分10
19秒前
还行吧完成签到 ,获得积分10
19秒前
20秒前
大胆的鲂完成签到,获得积分20
21秒前
21秒前
21秒前
江湖小刀完成签到,获得积分10
22秒前
chenxiang发布了新的文献求助10
23秒前
甜美香之完成签到 ,获得积分10
24秒前
老迟到的小松鼠完成签到,获得积分0
24秒前
25秒前
Andrea完成签到,获得积分10
25秒前
25秒前
25秒前
Singularity完成签到,获得积分0
26秒前
林牧完成签到,获得积分10
27秒前
我思故我在完成签到,获得积分0
28秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
Molecular Mechanisms of Photosynthesis, 4th Edition 1000
Organic Reactions, Volume 116 1000
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
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 7252949
求助须知:如何正确求助?哪些是违规求助? 8875105
关于积分的说明 18734875
捐赠科研通 6933577
什么是DOI,文献DOI怎么找? 3199831
关于科研通互助平台的介绍 2374606
邀请新用户注册赠送积分活动 2174506