AI in Education: Rationale, Principles, and Instructional Implications

This theoretical paper examines the integration of generative AI (especially LLMs like ChatGPT) in K-12 education, discussing pedagogical principles, potential benefits and risks, and instructional implications for teachers across different educational stages and subjects. It emphasizes the importance of using AI to supplement rather than replace cognitive effort, promoting critical thinking and deep learning while addressing concerns about cognitive offloading.

This study examines the integration of generative AI in schools, assessing its benefits and risks. As AI use by students grows, it's crucial to understand its impact on learning and teaching practices. Generative AI, like ChatGPT, can create human-like content, prompting questions about its educational role. The article differentiates large language models from traditional search engines and stresses the need for students to develop critical source evaluation skills. Although empirical evidence

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