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Artificial intelligence (AI) is currently exerting a significant impact on the development of career guidance education, facilitating personalized guidance and data-driven decision-making for students. The historical and evolutionary trajectory of AI-driven career guidance education can be traced back to its early stages as assistive functionalities, which have now advanced to encompass robust learning applications, such as multimedia and interactive features, machine learning, and natural language processing. Notably, AI has transcended its conventional role in vocational development and expanded into the realms of social and emotional learning. The complexity of AI research in international contexts necessitates consideration of various factors, including cognitive development, parental involvement and supervision, and cultural backgrounds. Despite certain limitations in utilizing AI for career exploration, it has brought numerous impacts and insights. These primarily manifest in the areas of data-driven decision-making and the outlook for career exploration, the demand for cultural sensitivity in AI-driven career guidance, and the provision of personalized career guidance through artificial intelligence in education.

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