Empowering Education through Generative AI: Innovative Instructional Strategies for Tomorrow's Learners

生成语法 生成模型 计算机科学 教学设计 人工智能 工程伦理学 工程类 多媒体
作者
Kadaruddin Kadaruddin
标识
DOI:10.56442/ijble.v4i2.215
摘要

As the educational landscape endures continuous change, artificial intelligence (AI) has presented unprecedented opportunities to revolutionize instructional methods. Among these cutting-edge AI technologies, Generative AI has emerged as a promising instrument with the potential to empower educators and students through innovative instructional strategies. This article aims to investigate the various applications of Generative AI in education and cast light on its role in shaping the future of education. The objectives of this study are twofold: first, to investigate the various instructional strategies that can be enhanced by employing Generative AI, and second, to assess the potential impact of these strategies on student learning outcomes. To accomplish these goals, a comprehensive literature review was conducted analyzing existing studies and applications of Generative AI in educational settings. The results and discussions emphasize the numerous educational benefits of Generative AI. Educators can personalize learning experiences, create interactive content, and facilitate adaptive assessments by leveraging the capabilities of Generative AI. This individualized strategy has the potential to boost learner engagement and knowledge retention. However, despite the numerous advantages, ethical concerns and difficulties arise. The responsible incorporation of Generative AI in education requires addressing issues such as data privacy, algorithmic bias, and the educator's role in directing AI-driven learning experiences. The research concludes by emphasizing that Generative AI holds enormous promise for empowering education and transforming instructional practices. The findings highlight the importance of ongoing collaboration between educators, policymakers, and AI developers to ensure the ethical and equitable integration of Generative AI into educational environments. By embracing the potential of Generative AI while remaining vigilant regarding its challenges, the field of education can unlock novel opportunities to nurture an inclusive, adaptive, and learner-centric pedagogical landscape for tomorrow's learners.
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
Nathaniel完成签到,获得积分10
刚刚
幽默孤容发布了新的文献求助10
1秒前
小刘完成签到,获得积分10
1秒前
wang006006完成签到,获得积分10
1秒前
2秒前
Nole应助Wing7_z1采纳,获得10
3秒前
3秒前
李健应助YI采纳,获得10
4秒前
6秒前
lzz发布了新的文献求助10
6秒前
不熬夜发布了新的文献求助10
7秒前
科研通AI6.2应助靓丽的湘采纳,获得10
7秒前
8秒前
8秒前
8秒前
无昵称完成签到 ,获得积分10
9秒前
9秒前
共享精神应助Chengjun采纳,获得10
10秒前
doby发布了新的文献求助150
10秒前
10秒前
小包子完成签到,获得积分10
10秒前
橡胶工艺完成签到,获得积分10
11秒前
11秒前
11秒前
orixero应助manying采纳,获得150
12秒前
12秒前
黄yk发布了新的文献求助10
12秒前
6611发布了新的文献求助10
13秒前
13秒前
13秒前
Orange应助幽默孤容采纳,获得10
13秒前
wufanga发布了新的文献求助10
14秒前
admin0726发布了新的文献求助10
14秒前
14秒前
漂亮糖豆发布了新的文献求助10
15秒前
16秒前
16秒前
16秒前
16秒前
在水一方应助杆杆采纳,获得10
17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
Navigating Normative Orders. Interdisciplinary Perspectives 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
A Case Study on Hotels as Noncongregate Emergency Living Accommodations for Returning Citizens 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 7758304
求助须知:如何正确求助?哪些是违规求助? 9304409
关于积分的说明 20280319
捐赠科研通 7342020
什么是DOI,文献DOI怎么找? 3312163
关于科研通互助平台的介绍 2462795
邀请新用户注册赠送积分活动 2326004