江苏省科技期刊可视化阅读平台

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《无线互联科技》杂志社 ›› 2025, Vol. 22 ›› Issue (1): 28-31.

• 智能控制 • 上一篇    下一篇

人工智能赋能的大学生创新创业课程智慧教学平台设计

杨佳1, 孙明丽2*   

  1. 长春建筑学院,吉林 长春 130000
  • 出版日期:2025-01-10 发布日期:2025-03-21
  • 通讯作者: * 孙明丽(1982— ),女,讲师,硕士;研究方向:创新创业教育,人工智能。人工智能赋能的大学生创新创业课程智慧
  • 作者简介:杨佳(1989— ),女,讲师,硕士;研究方向:创新创业教育,人工智能。
  • 基金资助:
    2024年吉林省高教科研一般课题;项目名称:基于TBL模式的大学生创新创业课程教学改革与实践研究;项目编号:JGJX24D0768。

Design of intelligent teaching platform for college students’ innovation and entrepreneurship courses empowered by artificial intelligence

YANG Jia1, SUN Mingli2*   

  1. Changchun University of Architecture and Civil Engineering, Changchun 130000, China
  • Online:2025-01-10 Published:2025-03-21

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摘要： 文章应用深度学习、生成对抗网络和Transformer等技术,设计并构建了基于人工智能的大学生创新创业课程智慧教学平台,实现了个性化教学、创新项目推荐及课程内容的语义匹配。平台通过卷积神经网络构建学习者画像,利用生成对抗网络生成创新项目并基于Transformer模型进行课程内容推荐。高并发测试表明,该平台具有稳定性、响应速度和推荐准确性,在学习者满意度、课程匹配准确率及创新项目孵化成功率方面均优于预期,展现了在智慧教育中的应用潜力。

关键词: 人工智能, 创新创业课程, 智慧教学, 平台设计

Abstract: The article applies technologies such as deep learning, generative adversarial networks, and Transformers to design and construct an AI based intelligent teaching platform for college students’ innovation and entrepreneurship courses, achieving personalized teaching, innovative project recommendation, and semantic matching of course content. The platform constructs learner portraits through convolutional neural networks, generates innovative projects using generative adversarial networks, and recommends course content based on Transformer models. High concurrency testing shows that the platform has stability, response speed, and recommendation accuracy. It outperforms expectations in terms of learner satisfaction, course matching accuracy, and innovative project incubation success rate, demonstrating its potential for application in smart education.

Key words: artificial intelligence, innovation and entrepreneurship courses, smart teaching, platform design

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