The Development of Artificial Intelligence in Career Initiation Education and Implications for China

Yao Cheng, Yu Si Liang
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Abstract

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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职业启蒙教育中人工智能的发展及其对中国的启示
人工智能(AI)正在对职业指导教育的发展产生重大影响,为学生提供个性化指导和数据驱动决策。人工智能驱动的职业指导教育的历史和进化轨迹可以追溯到其早期的辅助功能,现在已经发展到包括强大的学习应用,如多媒体和交互功能、机器学习和自然语言处理。值得注意的是,人工智能已经超越了它在职业发展中的传统角色,扩展到了社交和情感学习领域。国际背景下人工智能研究的复杂性需要考虑各种因素,包括认知发展、父母的参与和监督以及文化背景。尽管利用人工智能进行职业探索有一定的局限性,但它带来了许多影响和见解。这主要体现在数据驱动的决策和职业探索前景、人工智能驱动的职业指导对文化敏感性的需求,以及通过人工智能在教育中提供个性化的职业指导等领域。
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