Accelerating Higher Education Transformation: Simulation-Based Training and AI Coaching for Educators-in-Training

培训(气象学) 指导 转化(遗传学) 医学教育 数学教育 心理学 计算机科学 医学 地理 心理治疗师 化学 生物化学 基因 气象学
作者
Jasmin Cowin,Birgit Oberer,James Lipuma,Cristo León,Alptekin Erkollar
出处
期刊:Lecture notes in networks and systems 卷期号:: 532-541
标识
DOI:10.1007/978-3-031-51979-6_55
摘要

As the world undergoes remarkable transformations powered by Artificial Intelligence, the challenge arises for educational systems and institutions to adapt. How can we adequately equip educators-in-training to flourish in unprecedented change? The emergence of flexible, hybrid, and socially engaged learning environments has created a need for effective training methodologies that empower educators-in-training to thrive in this new paradigm. Higher education institutions need to expand aspiring educators’ human and professional potential amidst accelerating change, in line with the clarion call of the Sustainable Development Goal 4 Quality Education “By 2030, substantially increase the supply of qualified teachers, including through international cooperation for teacher training in developing countries, especially least developed countries and small island developing States” [1]. Simulation-based training coupled with Artificial Intelligence offers a solution to equip educators with the necessary skills and competencies to navigate complex real-world educational settings to succeed in classrooms of the 21st century. Simulation-based training allows educators-in-training to develop their skills and build confidence in their abilities to effectively engage with students in multifaceted classroom environments by providing a safe and controlled space for experimentation and practice. In conclusion, this paper and presentation explore the shifting teaching paradigms in higher education using simSchool and Mursion simulation platforms as examples and examine inclusive and dynamic practices that promote sustainable systems change in line with SDG 4. Quality Education, supporting educators-in-training by identifying strengths and encouraging personal and professional growth through AI feedback loops and faculty coaching.
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
大幅提高文件上传限制,最高150M (2024-4-1)

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
热心雅阳完成签到 ,获得积分10
1秒前
1秒前
shangxinyu完成签到,获得积分10
2秒前
想把太阳揣兜里完成签到,获得积分10
2秒前
谭平完成签到 ,获得积分10
2秒前
wy.he完成签到,获得积分0
2秒前
XXXXH完成签到,获得积分10
3秒前
娜行完成签到 ,获得积分10
4秒前
阿莽发布了新的文献求助20
4秒前
5秒前
蛋白工人完成签到,获得积分10
6秒前
绿绿完成签到,获得积分10
7秒前
0409hhh完成签到 ,获得积分10
7秒前
pyt发布了新的文献求助10
7秒前
spencer177完成签到,获得积分10
8秒前
科目三应助liuliu采纳,获得10
10秒前
东方傲儿发布了新的文献求助10
11秒前
不眠的人完成签到,获得积分10
12秒前
luermei完成签到,获得积分10
13秒前
Tom完成签到,获得积分10
13秒前
phw2333完成签到,获得积分10
13秒前
苗条的嘉熙完成签到 ,获得积分10
13秒前
雪白的威完成签到,获得积分10
13秒前
璐璐完成签到 ,获得积分10
14秒前
xf完成签到,获得积分10
15秒前
科研通AI2S应助贪玩的誉采纳,获得10
15秒前
77完成签到,获得积分20
16秒前
xj_yjl完成签到,获得积分10
16秒前
卡莉完成签到,获得积分10
17秒前
快乐的花果山完成签到 ,获得积分10
17秒前
开朗向真完成签到,获得积分10
17秒前
爱笑完成签到,获得积分10
18秒前
是张张啊完成签到,获得积分10
18秒前
渡劫完成签到,获得积分10
19秒前
Hello应助111采纳,获得10
19秒前
pyt完成签到,获得积分10
19秒前
kk完成签到,获得积分10
19秒前
入门的橙橙完成签到 ,获得积分10
19秒前
20秒前
20秒前
高分求助中
Sustainability in Tides Chemistry 2000
Microlepidoptera Palaearctica, Volumes 1 and 3 - 13 (12-Volume Set) [German] 1122
Дружба 友好报 (1957-1958) 1000
The Data Economy: Tools and Applications 1000
Mantiden - Faszinierende Lauerjäger – Buch gebraucht kaufen 700
PraxisRatgeber Mantiden., faszinierende Lauerjäger. – Buch gebraucht kaufe 700
A Dissection Guide & Atlas to the Rabbit 600
热门求助领域 (近24小时)
化学 医学 生物 材料科学 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 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3099877
求助须知:如何正确求助?哪些是违规求助? 2751333
关于积分的说明 7612942
捐赠科研通 2403282
什么是DOI,文献DOI怎么找? 1275217
科研通“疑难数据库(出版商)”最低求助积分说明 616310
版权声明 599053