创新创业理论研究与实践 ›› 2026, Vol. 9 ›› Issue (5): 8-12.

• 理论研究 • 上一篇    下一篇

生成式人工智能赋能项目式学习的创新实践探究——以物联网工程实践基础课程为例

苑立娟, 秦芹, 冯思宇   

  1. 保定学院,河北保定 071000
  • 出版日期:2026-03-10 发布日期:2026-07-01
  • 作者简介:苑立娟(1980—),女,河北保定人,硕士研究生,高级实验师,研究方向:计算机应用。
  • 基金资助:
    2025年河北省高等教育教学改革研究与实践项目“生成式人工智能在物联网工程专业教学改革中的创新与实践研究”(2025GJJG700)

Innovative Practice Exploration of Generative Artificial Intelligence Empowering Project-Based Learning—Taking the Fundamentals of IoT Engineering Practice Course as an Example

YUAN Lijuan, QIN Qin, FENG Siyu   

  1. Baoding University, Baoding Hebei, 071000, China
  • Online:2026-03-10 Published:2026-07-01

摘要: 生成式人工智能技术的迅速发展为工程教育模式的创新带来了新的机遇和挑战。该文探究了GAI如何赋能项目式学习,并在物联网工程实践基础课程中构建了“GAI-PBL”双轮驱动教学模式,阐述了从项目启动到成果展示的全过程教学实践流程。实践表明:GAI赋能让低年级学生轻松入门,并激发了学生自主和创新学习的能力,同时也对信息甄别与学术诚信提出了新的要求。研究为AI时代的工科课程改革提供了理论与实践依据。

关键词: 生成式人工智能, 项目式学习, 物联网工程, 教学模式, 批判性思维, 实践流程

Abstract: The rapid advancement of Generative Artificial Intelligence (GAI) technology presents new opportunities and challenges for innovating engineering education models. This paper explores how GAI empowers project-based learning (PBL) and constructs a“GAI-PBL”dual-drive teaching model within the fundamental course of IoT engineering practice. It elaborates on the entire teaching practice process, from project initiation to achievement demonstration. Practice has shown that GAI empowerment enables lower-year students to easily get started and stimulates their autonomous and innovative learning abilities, while also posing new demands for information discernment and academic integrity. This study provides theoretical and practical foundations for engineering curriculum reform in the AI era.

Key words: Generative artificial intelligence, Project-based learning, IoT engineering, Teaching model, Critical thinking, Practice process

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