arXiv:2506.08041cs.CYcs.AI2025-06中稿 · publication at AIE…被引 3

为大一工科生设计跨学科AI通识课,零基础也能理解AI的原理与影响。

The World of AI: A Novel Approach to AI Literacy for First-year Engineering Students

  • 三模块跨学科教学:环境、社会、职场视角结合技术讲解。
  • 学生对AI环境影响认知提升,公平性问题解决能力显著增强。
  • 适合零基础工科生,培养未来工程师的科技人文素养。

本文提出面向大一工程本科生的新型通识课程《AI世界》,旨在解决学生缺乏人工智能基础知识及其社会影响认知的问题。课程由工程与人文学科教师联合授课,分为三个模块:行星模块探讨AI在可持续发展与环境挑战中的双重角色;社会影响模块聚焦算法偏见、隐私与公平问题;工作场所模块强调AI引发的就业替代,倡导适应性思维。课程以非数学方式讲授AI基本机制,融合技术与社会讨论。评估结果显示,学生在多个维度上对AI挑战的理解显著提升,包括对环境影响的认知增强,以及应对公平性问题的解决方案效率提高;同时,学生对AI变革性影响的认知也发生积极转变。

原文摘要 · Abstract (English)

This work presents a novel course titled The World of AI designed for first-year undergraduate engineering students with little to no prior exposure to AI. The central problem addressed by this course is that engineering students often lack foundational knowledge of AI and its broader societal implications at the outset of their academic journeys. We believe the way to address this gap is to design and deliver an interdisciplinary course that can a) be accessed by first-year undergraduate engineering students across any domain, b) enable them to understand the basic workings of AI systems sans mathematics, and c) make them appreciate AI's far-reaching implications on our lives. The course was divided into three modules co-delivered by faculty from both engineering and humanities. The planetary module explored AI's dual role as both a catalyst for sustainability and a contributor to environmental challenges. The societal impact module focused on AI biases and concerns around privacy and fairness. Lastly, the workplace module highlighted AI-driven job displacement, emphasizing the importance of adaptation. The novelty of this course lies in its interdisciplinary curriculum design and pedagogical approach, which combines technical instruction with societal discourse. Results revealed that students' comprehension of AI challenges improved across diverse metrics like (a) increased awareness of AI's environmental impact, and (b) efficient corrective solutions for AI fairness. Furthermore, it also indicated the evolution in students' perception of AI's transformative impact on our lives.

AI通识跨学科工程教育素养培养

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