%0 Journal Article
%T 生成式AI在“数据分析与挖掘”课程资源构建中的应用研究
Research on Application of Generative AI in the Resource Construction of “Data Analysis and Mining” Course
%A 赵猛
%A 王双明
%A 伍建全
%A 刘金源
%A 邹细涛
%J Advances in Education
%P 1441-1449
%@ 2160-7303
%D 2024
%I Hans Publishing
%R 10.12677/ae.2024.14122435
%X 生成式AI是一种借助现代深度学习技术的文本(包括代码)、图像和视频生成工具。数据分析与挖掘课程以其技术复杂、工具抽象、代码繁多为特点，需要对众多python工具命令完全掌握才能够比较熟练地上手操作。此外，该课程的学习资源却较为分散，案例代码来源不够清楚，代码注解不够详细，从而使得课程资源的构建需要花费较多时间。结合最新的生成式AI技术(本文使用文心一言、Gamma、Github Copilot 3种工具)，教师可以直接通过聊天或提示等方式输入文本提示词，进而采用生成式AI工具直接输出教案、PPT和代码等课程资源，教师只需要负责审核生成结果的有效性和正确性即可，极大地提高了工作效率和准确性，为人工智能在专业型课程资源构建方式方法中的应用提供了借鉴。
Generative AI is a tool for text (including code), image and video generation with the help of modern deep learning techniques. The Data Analysis and Mining course is characterized by its technical complexity, tool abstraction, and extensive code, which requires a complete mastery of numerous python tool commands to be able to operate it more proficiently. In addition, the learning resources of the course are scattered, the source of the case code is not clear enough, and the code annotations are not detailed enough, thus making the construction of the course resources take more time. Combined with the latest generative AI technology (in this paper, we use three tools: Wenxin Yiyin, Gamma, and Github Copilot), teachers can directly enter text prompts through chat or prompts, and then use generative AI tools to directly output course resources, such as lesson plans, PPTs, and code, etc., and the teacher only needs to be responsible for reviewing the validity and correctness of the generated results, which greatly improves the efficiency and accuracy of the work, and provides a reference for the application of AI in the construction of professional course resources.
%K 生成式AI，
%K 数据分析与挖掘，
%K 资源构建，
%K 应用研究
Generative AI
%K Data Analysis and Mining
%K Resource Construction
%K Application Research
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=103957