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AI in Education: Rationale, Principles, and Instructional Implications

Authors
Eyvind Elstad
Date
Publisher
arXiv
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 on AI's classroom effects is limited, AI offers personalized learning support and problem-solving tools, alongside challenges like undermining deep learning if misused. The study emphasizes deliberate strategies to ensure AI complements, not replaces, genuine cognitive effort. AI's educational role should be context-dependent, guided by pedagogical goals. The study concludes with practical advice for teachers on effectively utilizing AI to promote understanding and critical engagement, advocating for a balanced approach to enhance students' knowledge and skills development.
Study at a glance
  • Question: What are the benefits, risks, and instructional implications of integrating generative AI into schools?
  • Setting and data: Not stated in the abstract
  • Method: Not stated in the abstract
Why it matters

As student use of generative AI grows, empirical evidence on its classroom effects remains limited. Understanding its impact on learning and teaching practices is crucial, particularly because tools like ChatGPT can undermine deep learning if misused.

Key findings
  • In schools, generative AI offers personalized learning support and problem-solving tools, but risks undermining students' deep learning if misused.
  • Generative AI produces human-like content that differs from traditional search engines, altering how students evaluate information sources.
  • Empirical evidence regarding the actual effects of generative AI in classroom settings remains limited.

Summary drafted with AI from the paper’s abstract and may contain errors. See the full paper for details.

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