AI in Education: Rationale, Principles, and Instructional Implications

This is a conceptual paper that discusses the theoretical rationale, principles, and instructional implications of integrating generative AI (especially LLMs like ChatGPT) into K-12 education, focusing on pedagogical approaches and concerns about cognitive offloading. The paper does not present original empirical research, benchmarks, or evaluation methods, but rather synthesizes theoretical perspectives on how AI should be used to support rather than replace genuine learning.

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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