摘要
数据结构作为计算机相关专业的核心课程,承担着培养学生逻辑思维与实践应用能力的核心任务。但传统教学模式普遍存在交互不足、学生参与度低等问题。本文提出“生成式AI+微信平台”双赋能交互式教学方案:生成式AI凭借个性化内容生成与智能交互优势,提供讲解视频、交互式答疑、拓展习题、个性化引导、分析报告智能生成等服务;微信平台依托其轻量化、易操作、强互动的特点,构建“课前—课中—课后”全流程交互式教学场景。以哈夫曼编码为教学案例设计教学方案,教学实证表明,该教学模式能有效降低抽象知识理解难度,提升学生学习兴趣、课堂参与度及综合应用能力,为生成式AI与微信平台双赋能数据结构及同类抽象课程教学改革提供可行路径。
As a core course for computer-related majors,data structure aims to develop students'logical thinking and practical application abilities.However,traditional teaching models generally suffer from insufficient interactivity and low student engagement.In this paper,we propose a dual-empowered interactive teaching approach based on generative AI and the WeChat platform.With advantages in personalized content generation and intelligent interaction,generative AI provides intelligent services such as instructional video production,interactive Q&A,extended exercises,personalized tutoring,and analytical report generation.Meanwhile,the WeChat platform constructs a full-cycle interactive teaching scenario covering the pre-class,in-class and post-class stages with strengths in being lightweight,easy to operate and highly interactive.A teaching case study was designed around Huffman coding,and empirical findings demonstrate that the proposed model reduces the comprehension difficulty of abstract concepts,boosts students'learning enthusiasm,classroom engagement,and practical application abilities,thereby offering a feasible approach for the teaching innovation of Data Structures and other similarly abstract courses driven by generative AI and the WeChat platform.
作者
李敬
程文涛
胡家斌
Li Jing;Cheng Wentao;Hu Jiabin(School of Computer Science and Technology,Hubei Business College,Wuhan,Hubei 430079,China)
出处
《计算机时代》
2026年第3期107-111,116,共6页
Computer Era
基金
湖北省自然科学基金一般面上项目(2025AFB901)
湖北省高等教育学会课题“民办高校《数据结构》课程数字化建设研究”(2024XD205)
湖北商贸学院校级教学研究重点项目“基于微信公众平台的‘人工智能+’《数据结构》课程建设及应用研究”(202408)。
