AI Homework explores the increasing role of AI assistants in higher education, focusing on assignment completion, plagiarism detection, and the development of critical thinking skills. It examines how AI tools are used by students, the efficacy of AI in preventing academic dishonesty, and whether AI enhances or hinders cognitive skills.
The book argues that while AI offers opportunities to improve academic work, its uncritical adoption carries risks, emphasizing the need for ethical use and pedagogical innovation. The book reveals intriguing insights, such as the evolving strategies students employ to bypass AI-driven plagiarism detection and how AI can be utilized to promote deeper engagement with course material.
Drawing upon surveys, AI software analysis, and case studies, AI Homework presents a multidisciplinary perspective from cognitive science, educational psychology, and computer science. It uniquely balances celebrating AI's potential with a critical assessment of its impact.
The book progresses logically, beginning with an introduction that defines key terms and setting the stage for analysis. It then delves into the impact of AI on assignment completion, the strengths and limitations of plagiarism detection systems, and the relationship between AI and critical thinking.
AI Homework provides practical recommendations for educators, policymakers, and students, making it a valuable resource for anyone navigating the integration of AI in academia.
