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This article examines the impact of heuristic learning in AI education in the United States on the development of autonomy, creative thinking, and complex problem-solving skills.Based on an analysis of contemporary scholarly sources, it explores the transformation of educational practices under the influence of artificial intelligence, which is increasingly regarded not merely as an automation tool but as a cognitive partner.It is generalized that the integration of artificial intelligence with computational thinking contributes to a shift toward student-centered, heuristic, and constructivist learning models, where students act as active participants in the cognitive process.The study demonstrates that problem-based, project-based, and inquiry-based approaches are effective in fostering critical thinking, independence, and research skills.Heuristic learning combined with AI supports the generation of alternative solutions, iterative reasoning, and personalized learning pathways.Particular attention is given to the role of AI as a cognitive support tool that enhances creativity, reflection, and complex problem-solving, while not replacing human thinking.Such approaches contribute to the development of self-regulation skills and responsible decisionmaking.It is established that the key conditions for effective AI-based education include instructional design, a balance between technological support and learner autonomy, and the avoidance of excessive reliance on automated responses.As a result, heuristic learning is identified as a fundamental basis of modern AI education, as it ensures the development of cognitive autonomy, creativity, and the ability to solve complex tasks in digital environments.
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Liudmyla Siryk (2026) studied this question.
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