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Information Science Reference Pitfalls of AI Integration in Education - Premier Research Sources

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Description

This comprehensive academic resource examines the critical challenges surrounding artificial intelligence adoption in educational settings. Published by Information Science Reference, the book addresses three major concerns: skill obsolescence as AI transforms workforce requirements, potential misuse of AI technologies in learning environments, and systemic bias embedded in algorithmic decision-making systems. The work brings together premier research sources to provide educators, administrators, policymakers and researchers with evidence-based insights into how institutions can navigate AI implementation responsibly. By exploring pitfalls alongside practical implications, this resource equips readers with the knowledge needed to anticipate risks, implement safeguards, and make informed decisions about AI integration. Essential reading for anyone involved in educational technology planning or AI governance in academic institutions.

Key Features

Addresses skill obsolescence concerns arising from AI adoption in educational systems and workforce preparation.

Examines potential misuse scenarios and safety considerations when deploying AI technologies in learning environments.

Explores systemic bias issues in AI algorithms that may affect student assessment, recommendations and educational outcomes.

Compiled by Information Science Reference with contributions from premier research sources and academic experts.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
09 May 2025
Listed Since
17 May 2025

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