AI in Education: Rationale, Principles, and Instructional Implications

TL;DR

This paper explores the integration of generative AI in education, highlighting its potential benefits for personalized learning and critical skills development, while addressing associated risks and the need for strategic pedagogical use.

Contribution

It provides a framework for understanding AI's role in education, emphasizing deliberate strategies to ensure AI supports learning without undermining deep cognitive engagement.

Findings

AI offers personalized learning and problem-solving tools.

Risks include potential undermining of deep learning.

Effective use requires pedagogical strategies.

Abstract

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.