AI and Machine Learning in Smart Education

Author:

Goel Pawan Kumar1ORCID,Singhal Amit1,Bhadoria Shailendra Singh2,Saraswat Birendra Kumar1,Patel Arvind1

Affiliation:

1. Raj Kumar Goel Institute of Technology, Ghaziabad, India

2. Inderprastha Engineering College, Ghaziabad, India

Abstract

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.

Publisher

IGI Global

Reference24 articles.

1. Educational Data Mining and Learning Analytics

2. The State of Educational Data Mining in 2009: A Review and Future Visions.;R. S.Baker;Journal of Educational Data Mining,2009

3. Multimodal Learning Analytics and Education Data Mining: Using Computational Technologies to Measure Complex Learning Tasks.;P.Blikstein;Journal of Learning Analytics,2013

4. An Interface for Enhanced Teacher Awareness of Student Actions and Attention in a VR Classroom

5. Demolish falsy ratings in recommendation systems

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1. Ethical and Privacy Considerations in Artificial Emotional Intelligence Deployment;Advances in Computational Intelligence and Robotics;2024-06-30

2. Analysis of Learning Characteristics of Online Learners in the Context of Smart Education;ICST Transactions on Scalable Information Systems;2024-05-02

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