Metaphor analysis on pre-service early childhood teachers’ conception of AI (Artificial Intelligence) education for young children

隐喻 心理学 服务(商务) 数学教育 发展心理学 教育学 语言学 哲学 经济 经济
作者
Eun Mee Lim
出处
期刊:Thinking Skills and Creativity [Elsevier BV]
卷期号:51: 101455-101455 被引量:8
标识
DOI:10.1016/j.tsc.2023.101455
摘要

This study explored PEC teacher' (pre-service early childhood teachers') conception of AI (Artificial Intelligence) education for young children by using metaphor analysis. Through exploring the conceptual metaphors of AI education for young children with 137 undergraduate students majoring in ECE (early childhood education) at I University in the central part of the United States, this present study tried to figure out the educationally meaningful direction of AI education for young children. The surveys were composed with open questions to find out PEC teachers' metaphor of AI education for young children and they were distributed to research subjects. Collected data were named, classified, categorised, and finally, 7 categories out of 137 metaphors were analysed through the step of confirming. PEC teachers in this study had positive metaphorical concepts such as 'possibility of play and experience'', 'future essentials', 'innovation and change', 'convenience', 'assistant teacher', and negative metaphorical concepts such as 'double-sided meaning', 'Complexity' of AI education for young children. PEC teachers' beliefs about teaching-and-learning theory and methods related to AI education in ECE settings can be an important indicator of what thoughts and attitudes teachers will have when they implement the AI-related curriculum. Therefore, since PEC teachers have direct responsibility of planning and implementing AI education at ECE institutions, their conception of AI education in ECE would provide an important insight for shaping AI education for young children in the future.
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
xm完成签到,获得积分10
刚刚
起风了发布了新的文献求助10
刚刚
1秒前
小二郎应助花开富贵采纳,获得10
2秒前
Tong发布了新的文献求助10
3秒前
FashionBoy应助无限连采纳,获得10
3秒前
shijie805发布了新的文献求助10
3秒前
桐桐应助称心寒松采纳,获得10
3秒前
3秒前
zho发布了新的文献求助10
4秒前
HEIKU应助哈哈哈采纳,获得10
4秒前
Lucas应助哈哈哈采纳,获得10
4秒前
李健应助哈哈哈采纳,获得10
4秒前
可爱的函函应助哈哈哈采纳,获得10
4秒前
传奇3应助哈哈哈采纳,获得10
4秒前
英姑应助xxxhl采纳,获得10
5秒前
温婉的凝丹完成签到 ,获得积分10
5秒前
紧张的惜寒完成签到,获得积分10
7秒前
凯当以慷完成签到,获得积分10
8秒前
8秒前
雪流星发布了新的文献求助10
9秒前
上官若男应助Silole采纳,获得10
9秒前
oli完成签到,获得积分20
9秒前
杨悦完成签到,获得积分10
10秒前
11秒前
11秒前
ChristineY完成签到,获得积分10
12秒前
13秒前
mymEN完成签到 ,获得积分10
13秒前
11发布了新的文献求助10
13秒前
爆米花应助帕克采纳,获得10
13秒前
14秒前
彪壮的明轩完成签到,获得积分10
14秒前
dzjin完成签到,获得积分10
15秒前
852应助加百莉采纳,获得10
16秒前
Silole完成签到,获得积分10
16秒前
17秒前
陈奥完成签到,获得积分20
17秒前
狂野砖头发布了新的文献求助20
17秒前
称心寒松发布了新的文献求助10
17秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Animal Physiology 2000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Am Rande der Geschichte : mein Leben in China / Ruth Weiss 1500
CENTRAL BOOKS: A BRIEF HISTORY 1939 TO 1999 by Dave Cope 1000
Machine Learning Methods in Geoscience 1000
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 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3740956
求助须知:如何正确求助?哪些是违规求助? 3283797
关于积分的说明 10036810
捐赠科研通 3000526
什么是DOI,文献DOI怎么找? 1646584
邀请新用户注册赠送积分活动 783787
科研通“疑难数据库(出版商)”最低求助积分说明 750427