已入深夜,您辛苦了!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!祝你早点完成任务,早点休息,好梦!

An Extended Theory of Planned Behavior for the Modelling of Chinese Secondary School Students’ Intention to Learn Artificial Intelligence

心理学 操作化 验证性因素分析 结构方程建模 构造(python库) 计划行为理论 控制(管理) 社会心理学 数学教育 结构效度 应用心理学 发展心理学 心理测量学 人工智能 计算机科学 认识论 机器学习 哲学 程序设计语言
作者
Ching Sing Chai,Xingwei Wang,Chang Xu
出处
期刊:Mathematics [MDPI AG]
卷期号:8 (11): 2089-2089 被引量:144
标识
DOI:10.3390/math8112089
摘要

Artificial Intelligence (AI) is currently changing how people live and work. Its importance has prompted educators to begin teaching AI in secondary schools. This study examined how Chinese secondary school students’ intention to learn AI were associated with eight other relevant psychological factors. Five hundred and forty-five secondary school students who have completed at least one cycle of AI course were recruited to participate in this study. Based on the theory of planned behavior, the students’ AI literacy, subjective norms, and anxiety were identified as background factors. These background factors were hypothesized to influence the students’ attitudes towards AI, their perceived behavioral control, and their intention to learn AI. To provide more nuanced understanding, the students’ attitude towards AI was further delineated as constituted by their perception of the usefulness of AI, the potential of AI technology to promote social good, and their attitude towards using AI technology. Similarly, the perceived behavioral control was operationalized as students’ confidence towards learning AI knowledge and optimistic outlook of an AI infused world. Relationships between the factors were theoretically illustrated as a model that depicts how students’ intention to learn AI was constituted. Two research questions were then formulated. Confirmatory factor analysis was employed to validate that multi-factor survey, followed by structural equational modelling to ascertain the significant associations between the factors. The confirmatory factor analysis supports the construct validity of the questionnaire. Twenty-five out of the thirty-three hypotheses were supported through structural equation modelling. The model helps researchers and educators to understand the factors that shape students’ intention to learn AI. These factors should be considered for the design of AI curriculum.
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
苏泠叶发布了新的文献求助30
刚刚
科研通AI6.3应助行则将至采纳,获得10
刚刚
4秒前
善学以致用应助王王采纳,获得10
6秒前
聪慧的皮卡丘完成签到 ,获得积分10
8秒前
正在努力的学术小垃圾完成签到 ,获得积分10
10秒前
13秒前
peng完成签到 ,获得积分10
17秒前
17秒前
王王发布了新的文献求助10
18秒前
棠真完成签到 ,获得积分10
19秒前
打打应助wanghui采纳,获得10
20秒前
21秒前
Lucas应助青月小飞龙采纳,获得10
22秒前
米米碎片完成签到,获得积分10
22秒前
23秒前
fwe发布了新的文献求助10
23秒前
25秒前
ni发布了新的文献求助10
26秒前
zy完成签到 ,获得积分10
27秒前
科研通AI6.3应助王王采纳,获得10
28秒前
29秒前
高高发布了新的文献求助10
30秒前
liyongqing发布了新的文献求助10
30秒前
苏泠叶完成签到,获得积分10
31秒前
31秒前
kelly发布了新的文献求助10
32秒前
小郭发布了新的文献求助10
32秒前
小二郎应助海阔天空采纳,获得10
34秒前
35秒前
L11发布了新的文献求助10
37秒前
37秒前
香蕉觅云应助自信山槐采纳,获得10
37秒前
38秒前
sin发布了新的文献求助10
42秒前
43秒前
反复发作完成签到 ,获得积分10
45秒前
magiczhu完成签到,获得积分10
46秒前
顾影完成签到 ,获得积分10
48秒前
49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
Modern Epidemiology, Fourth Edition 5000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Polymorphism and polytypism in crystals 1000
Social Cognition: Understanding People and Events 800
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6027068
求助须知:如何正确求助?哪些是违规求助? 7673598
关于积分的说明 16184531
捐赠科研通 5174799
什么是DOI,文献DOI怎么找? 2768926
邀请新用户注册赠送积分活动 1752401
关于科研通互助平台的介绍 1638179