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| “通信电子电路”人机协同作业设计与实践 |
| Design and Practice of Human-Machine Collaborative Assignments for "Communication Electronic Circuits" |
| 投稿时间：2025-10-29 修订日期：2026-07-05 |
| DOI： |
| 关键词: 人工智能素养 人机协同 工程教育 |
| Key Words:artificial intelligence literacy human-machine collaborative engineering education. |
| 基金项目:国家自然科学基金项目(项目编号：62401077) |
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| 摘要点击次数: 39 |
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| 摘要:低噪声放大器（LNA）是通信电子电路的核心知识点，兼具原理复杂性与工程应用性。为应对生成式人工智能对工程教育的挑战，以LNA为载体设计了“人机协同射频芯片选型”作业，包括结构化的五阶段流程与四维度的过程性评估体系。实践表明，该设计能引导学生培育主动驾驭AI的意识和能力，诊断出其在批判性验证与供应链知识等方面的短板，同时触发学生主动复习LNA核心参数、深化工程权衡理解的行为，为同类课程改革提供了可复制的教学方案。 |
| Abstract:Low Noise Amplifier (LNA) is a core knowledge point in Communication Electronic Circuits, characterized by both theoretical complexity and engineering applicability. To address the challenges posed by generative artificial intelligence to engineering education, a human-AI collaborative RF chip selection assignment centered on LNA was designed, which incorporates a structured five-phase workflow and a four-dimensional processual assessment framework. Findings demonstrate that the design cultivates students'' awareness and capability to proactively harness AI, while identifying common deficiencies such as insufficient critical verification and limited supply chain knowledge. It also triggers students'' active review of LNA core parameters and deepens their understanding of engineering trade-offs, providing a replicable instructional scheme for similar course reforms. |
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