Implications of Artificial Intelligence for Teaching and Learning

This is a literature review examining the broad implications of AI for teaching and learning, discussing opportunities (intelligent content, tutoring systems, personalized learning, automated grading) and challenges (infrastructure, equity, privacy, teacher readiness) across educational contexts. The paper synthesizes existing research on AI in education but does not present original benchmarks, evaluation methodologies, or empirical studies measuring AI's impact on K-12 student learning outcomes.

Artificial Intelligence (AI) has significantly transformed teaching and learning, facilitating a shift from teacher-centered to student-centered education. This review outlines the broad implications of AI for education and synthesizes both the opportunities and challenges associated with its implementation. Examining over 55 papers related to the impacts of AI on education, the review encompasses various educational contexts, avoiding a singular focus on specific types of education or the teach

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