Artificial Intelligence and Knowledge Representation

Nermine Mohamed Wanas

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Chapter 9 Artificial Intelligence and Knowledge Representation

于Artificial Intelligence

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Nermine Mohamed Wanas

Nermine Mohamed Wanas
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类型:: 章节

Page Range:: 231–252

DOI:: https://doi.org/10.1163/9789004754065_009

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Abstract

Knowledge Representation (KR) is a fundamental aspect of both education and Artificial Intelligence (AI). In education, KR refers to the ways in which information is structured, organized, and presented to facilitate learning. In AI, KR involves the methods and techniques used to encode knowledge in a form that machines can understand and manipulate. The intersection of these two fields has the potential to revolutionize how we teach, learn, and interact with information. This chapter explores the concept of KR in education, its correlation to AI, and the implications for the future of learning. In the context of education, KR plays a pivotal role in shaping how educational content is delivered, personalized, and assessed. This chapter explores the intersection of KR and education, focusing on how AI-driven KR systems are transforming traditional educational paradigms. We discuss various KR techniques, their applications in educational settings, and the challenges and opportunities they present. The chapter also examines the ethical implications of using AI in education and provides a forward-looking perspective of the future of KR in this domain.

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Artificial Intelligence

An Algorithmic Renaissance in Education, Linguistics, and Arts

丛编： Contemporary Approaches to Research in Learning Innovations, 卷： 15

ISBN:: 9789004754065

出版社:: Brill

印刷出版日期:: 23 Dec 2025

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- Education

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Chapter 9 Artificial Intelligence and Knowledge Representation

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Artificial Intelligence

An Algorithmic Renaissance in Education, Linguistics, and Arts

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