工程伦理学
计算机科学
个性化学习
伦理问题
知识管理
工程类
心理学
教育学
开放式学习
教学方法
合作学习
作者
Pawan Kumar Goel,Amit Singhal,Shailendra Singh Bhadoria,Birendra Kumar Saraswat,Arvind D. Patel
出处
期刊:Advances in web technologies and engineering book series
日期:2024-01-25
卷期号:: 36-55
被引量:11
标识
DOI:10.4018/979-8-3693-0782-3.ch003
摘要
This chapter explores the applications, benefits, and challenges of integrating AI and ML in smart education, focusing on how these technologies can enhance learning experiences, personalize education, and improve learning outcomes. It also addresses ethical and privacy concerns, highlighting the need for robust policies and guidelines to mitigate them and protect students' rights. AI and ML can enable personalized learning experiences, tailor content, delivery, and assessment to individual needs, and support competency-based education. However, the chapter acknowledges the challenges of privacy, security, algorithmic biases, teacher training, and ethical implications. By embracing these recommendations, educators and policymakers can harness the full potential of AI and ML technologies in creating a smarter and more effective educational environment.
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