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Information Science Reference Pitfalls of AI Integration in Education - Information Science Reference

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Description

Explore the complex challenges of implementing artificial intelligence within academic settings. This book by Information Science Reference examines the critical risks associated with rapid technological shifts in the classroom. It addresses the specific dangers of skill obsolescence, where traditional learning methods may no longer meet modern demands. Readers will gain insight into the potential for misuse and the ethical concerns regarding bias in automated systems. As AI becomes more prevalent in computer science and machine learning applications, understanding these pitfalls is necessary for educators and researchers. This text provides a foundation for navigating the transition toward digital-first learning environments while maintaining academic integrity and fairness.

Key Features

Examines the risk of skill obsolescence as AI changes traditional learning requirements.

Addresses the potential for misuse of artificial intelligence tools in educational settings.

Analyzes the impact of algorithmic bias on student equity and academic outcomes.

Provides academic perspectives on the integration of machine learning in schools.

Offers research-based insights into the evolution of computer science in education.

Product Specifications

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

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