arXiv:2505.02230cs.HCcs.AI2025-05被引 1

调查显示学生对生成式AI既兴奋又担忧,暴露教育准备差距。

The Gen AI Generation: Student Views of Awareness, Preparedness, and Concern

  • 通过问卷调研学生对GenAI的认知与态度,聚焦意识、准备度和忧虑。
  • 超40%学生提供详细反馈,多数人期待技术但担心伦理与就业影响。
  • 课程中接触越多越有准备,缺乏经验者更感脆弱,形成新能力鸿沟。

生成式人工智能(GenAI)正在重塑教育与职业发展,深刻影响学生的学习方式与未来规划。我们定义‘GenAI一代’为在社会广泛采纳过程中受其机遇与挑战深刻影响的一代学生。本研究通过包含可选开放题的简短调查,探讨学生对GenAI的感知,关注其认知水平、准备程度及忧虑。超过250份回复中,逾40%提供了详尽定性反馈。结果显示,尽管多数学生对GenAI抱有热情,但更多人表达了对伦理问题、岗位替代风险以及现有教育体系应对能力不足的关切。课程中接触越多的学生越感准备充分,反之则更显脆弱与不确定,揭示出超越传统学科界限的新准备度差距。研究呼吁教育机构从基础访问转向更有针对性的引导,强化批判性思维、伦理判断与适应性学习能力。

原文摘要 · Abstract (English)

Generative Artificial Intelligence (GenAI) is revolutionizing education and workforce development, profoundly shaping how students learn, engage, and prepare for their future. Outpacing the development of uniform policies and structures, GenAI has heralded a unique era and given rise to the GenAI Generation. We define the GenAI Generation as a cohort of students whose education has been increasingly shaped by the opportunities and challenges GenAI presents during its widespread adoption within society. This study examines students' perceptions of GenAI through a concise survey with optional open-ended questions, focusing on their awareness, preparedness, and concerns. Notably, readiness appears increasingly tied to exposure to GenAI through one's coursework. Students with greater curricular exposure to GenAI tend to feel more prepared, while those without it more often express vulnerability and uncertainty, highlighting a new and growing divide in readiness that goes beyond traditional disciplinary boundaries. Evaluation of more than 250 responses, with over 40% providing detailed qualitative feedback, reveals a core dual sentiment: while most students express enthusiasm for GenAI, an even greater proportion voice a spectrum of concerns about ethics, job displacement, and the adequacy of educational structures given the highly transformative technology. These findings offer critical insights into how students view the potential and pitfalls of GenAI for future career impacts. The challenge ahead involves implementing associated recommendations for educational institutions, moving beyond the baseline of access toward more informed guidance on the use of these tools, while preserving critical thinking, ethical reasoning, and adaptive learning.

生成式AI教育变革学生视角伦理风险

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