A self-determination theory (SDT) design approach for inclusive and diverse artificial intelligence (AI) education

计算机科学 人工智能 人机交互
作者
Qi Xia,Thomas K. F. Chiu,Min Lee,Ismaila Temitayo Sanusi,Yun Dai,Ching Sing Chai
出处
期刊:Computers & education [Elsevier BV]
卷期号:189: 104582-104582 被引量:236
标识
DOI:10.1016/j.compedu.2022.104582
摘要

The introduction of artificial intelligence (AI) as a subject in K-12 education is a new and important global strategic initiative, but there is a serious lack of studies in relation to this initiative that address inclusion and diversity of education. Self-determination theory (SDT) can explain student engagement from the needs satisfaction perspective. Therefore, this project aimed to investigate how SDT-based needs support by teachers and student attributes (gender and achievement level) affect AI learning at secondary school level. It adopted a two-study design, with each study using a 2 × 2 between-subjects factorial design with student needs support from teachers as one factor and one of the student attributes as the other: gender in Study 1 and achievement level in Study 2. In both studies, there were two groups – SDT-based (teacher needs support) and control (without). The analyses revealed that in the SDT-based program, (1) the students had a more positive perception of AI learning and felt that their needs were satisfied, and (2) there were non-significant differences in AI learning between boys and girls and between high and low achievers. The findings suggest that a focus on needs satisfaction could engage boys and girls, and high and low achievers in AI learning. As they become more engaged, they are likely to gain more confidence, feel that the content is more relevant, and become intrinsically motivated to pursue further AI learning. • A high-quality Artificial Intelligence (AI) school education should be designed in a fair and inclusive manner. • AI K–12 education is a new global strategic initiative, but lack of relevant studies. • This study used self-determination theory to develop a teacher need support as intervention. • The support catered to the needs of students with different genders and achievement levels. • All the students gained more confidence and became intrinsically motivated to pursue further AI learning.
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
顾矜应助小林采纳,获得10
刚刚
大模型应助飞云采纳,获得10
刚刚
Zq完成签到,获得积分10
刚刚
小二郎应助淡然的大碗采纳,获得10
1秒前
1秒前
大模型应助李卓航采纳,获得10
1秒前
幽默飞荷发布了新的文献求助10
2秒前
2秒前
djbj2022发布了新的文献求助10
3秒前
3秒前
英姑应助iian采纳,获得10
3秒前
4秒前
4秒前
wjh发布了新的文献求助20
4秒前
顾矜应助橘子脉动采纳,获得10
4秒前
曾馨慧发布了新的文献求助10
5秒前
汉堡包应助弓長玉王令采纳,获得10
5秒前
马师发布了新的文献求助10
6秒前
chelo关注了科研通微信公众号
6秒前
6秒前
隐形曼青应助spz150采纳,获得10
6秒前
花痴的凝竹完成签到,获得积分10
7秒前
7秒前
an完成签到,获得积分20
8秒前
悦耳的冰枫完成签到,获得积分10
8秒前
8秒前
8秒前
9秒前
9秒前
院士人启动完成签到,获得积分10
9秒前
xxxxx发布了新的文献求助10
9秒前
LYH完成签到,获得积分10
9秒前
元宝团子发布了新的文献求助10
9秒前
10秒前
至秦完成签到,获得积分10
10秒前
顾矜应助健康的奇异果采纳,获得10
11秒前
11秒前
11秒前
量子星尘发布了新的文献求助10
12秒前
13秒前
高分求助中
The Mother of All Tableaux Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 2400
Ophthalmic Equipment Market by Devices(surgical: vitreorentinal,IOLs,OVDs,contact lens,RGP lens,backflush,diagnostic&monitoring:OCT,actorefractor,keratometer,tonometer,ophthalmoscpe,OVD), End User,Buying Criteria-Global Forecast to2029 2000
Cognitive Neuroscience: The Biology of the Mind 1000
Cognitive Neuroscience: The Biology of the Mind (Sixth Edition) 1000
Optimal Transport: A Comprehensive Introduction to Modeling, Analysis, Simulation, Applications 800
Official Methods of Analysis of AOAC INTERNATIONAL 600
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 588
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 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3958780
求助须知:如何正确求助?哪些是违规求助? 3504977
关于积分的说明 11121403
捐赠科研通 3236362
什么是DOI,文献DOI怎么找? 1788752
邀请新用户注册赠送积分活动 871360
科研通“疑难数据库(出版商)”最低求助积分说明 802707