£152.00

Information Science Reference Pitfalls of AI Integration in Education - IGI Global Book

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Description

Explore the complex challenges of implementing artificial intelligence within academic environments. This research-based resource from Information Science Reference examines the specific risks associated with rapid technological adoption in schools and universities. As educational institutions adopt new tools, they face significant hurdles regarding skill obsolescence and the potential for misuse. This text provides a deep look into how AI can affect traditional learning methods and the importance of addressing algorithmic bias. By focusing on these critical areas, the book helps educators and researchers understand the practical consequences of digital transformation. Whether you are studying computer science, machine learning, or educational technology, this volume offers a necessary perspective on the systemic issues caused by automated systems. It serves as an essential guide for those looking to navigate the evolving landscape of modern education while maintaining academic integrity and equity.

Key Features

Examines the risks of skill obsolescence as AI tools change traditional learning requirements.

Provides research-based insights into the misuse of artificial intelligence in academic settings.

Addresses the impact of algorithmic bias on educational equity and student outcomes.

Offers a specialized perspective on AI and machine learning within the field of education.

Serves as a professional resource for researchers and computer science professionals.

Product Specifications

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

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