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AI and Machine Learning in Smart Education

2024en
ABI

Annotatsiya

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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